Thematische Bibliographien / Transfer of adaptation

Inhaltsverzeichnis

  1. Zeitschriftenartikel
  2. Dissertationen
  3. Bücher
  4. Buchteile
  5. Konferenzberichte
  6. Berichte der Organisationen

Auswahl der wissenschaftlichen Literatur zum Thema „Transfer of adaptation“

Autor: Grafiati
Veröffentlicht am 12. April 2025

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Zeitschriftenartikel zum Thema "Transfer of adaptation"

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Schnier, Fabian, und Markus Lappe. „Differences in intersaccadic adaptation transfer between inward and outward adaptation“. Journal of Neurophysiology 106, Nr. 3 (September 2011): 1399–410. http://dx.doi.org/10.1152/jn.00236.2011.

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Saccadic adaptation is a mechanism to increase or decrease the amplitude gain of subsequent saccades, if a saccade is not on target. Recent research has shown that the mechanism of gain increasing, or outward adaptation, and the mechanism of gain decreasing, or inward adaptation, rely on partly different processes. We investigate how outward and inward adaptation of reactive saccades transfer to other types of saccades, namely scanning, overlap, memory-guided, and gap saccades. Previous research has shown that inward adaptation of reactive saccades transfers only partially to these other saccade types, suggesting differences in the control mechanisms between these saccade categories. We show that outward adaptation transfers stronger to scanning and overlap saccades than inward adaptation, and that the strength of transfer depends on the duration for which the saccade target is visible before saccade onset. Furthermore, we show that this transfer is mainly driven by an increase in saccade duration, which is apparent for all saccade categories. Inward adaptation, in contrast, is accompanied by a decrease in duration and in peak velocity, but only the peak velocity decrease transfers from reactive saccades to other saccade categories, i.e., saccadic duration remains constant or even increases for test saccades of the other categories. Our results, therefore, show that duration and peak velocity are independent parameters of saccadic adaptation and that they are differently involved in the transfer of adaptation between saccade categories. Furthermore, our results add evidence that inward and outward adaptation are different processes.
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Earhart, Gammon M., G. Melvill Jones, F. B. Horak, E. W. Block, K. D. Weber und W. A. Fletcher. „Forward Versus Backward Walking: Transfer of Podokinetic Adaptation“. Journal of Neurophysiology 86, Nr. 4 (01.10.2001): 1666–70. http://dx.doi.org/10.1152/jn.2001.86.4.1666.

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We asked whether podokinetic adaptation to walking on a circular treadmill transfers to different forms of locomotion. Subjects were blindfolded and asked to walk straight across the floor, in the forward and backward directions, following podokinetic (PK) stimulation that consisted of 30 min of forward walking-in-place on the perimeter of a disk rotating in the clockwise direction. During both forward and backward walking following forward-walking PK stimulation, subjects involuntarily walked along curved trajectories at angular velocities well above vestibular threshold, although they perceived that they were walking along straight paths. The curved paths of forward and backward walking were indistinguishable from one another. Transfer of PK adaptations acquired during forward walking on the turntable to backward walking trials suggests that the PK system controls general locomotor trajectory. Adaptation of the system thus influences forms of locomotion other than that used during acquisition of the adaptation. This transfer also supports the concept that forward and backward walking are controlled by neural networks that share common elements. An interesting feature of the transfer of PK adaptation is that for both forward and backward walking, subjects turned in a counterclockwise direction. As such, the direction of relative rotation between the trunk and feet was maintained for both forward and backward walking. However, the relationship of the lower extremities to the center of rotation was not preserved. The left limb was the inner leg during PK stimulation and forward walking after adaptation, but the left leg was the outer leg during backward walking. These results suggest that PK adaptation affects general locomotor trajectory via a remodeling of the rotational relationship between the trunk and the feet.
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Wible, Brad. „Technology transfer for adaptation“. Science 345, Nr. 6197 (07.08.2014): 634.5–635. http://dx.doi.org/10.1126/science.345.6197.634-e.

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Biagini, Bonizella, Laura Kuhl, Kelly Sims Gallagher und Claudia Ortiz. „Technology transfer for adaptation“. Nature Climate Change 4, Nr. 9 (13.07.2014): 828–34. http://dx.doi.org/10.1038/nclimate2305.

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Wang, Jinsung, und Robert L. Sainburg. „Interlimb Transfer of Novel Inertial Dynamics Is Asymmetrical“. Journal of Neurophysiology 92, Nr. 1 (Juli 2004): 349–60. http://dx.doi.org/10.1152/jn.00960.2003.

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Mechanisms underlying interlimb transfer of adaptation to visuomotor rotations have recently been explored in depth. However, little data are available regarding interlimb transfer of adaptation to novel inertial dynamics. The present study thus investigated interlimb transfer of dynamics by examining the effect of initial training with one arm on subsequent performance with the other in adaptation to a 1.5-kg mass attached eccentrically to the forearm. Using inverse dynamic analysis, we examined the changes in torque strategies associated with adaptation to the extra mass, and with interlimb transfer of that adaptation. Following initial training with the dominant arm, nondominant arm performance improved substantially in terms of linearity and initial direction control as compared with naïve performance. However, initial training with the nondominant arm had no effect on subsequent performance with the dominant arm. Inverse dynamic analysis revealed that improvements in kinematics were implemented by increasing flexor muscle torques at the elbow to counter load-induced increases in extensor interaction torques as well as increasing flexor muscle torques at the shoulder to counter the extensor actions of elbow muscle torque. Following opposite arm adaptation, the nondominant arm adopted this dynamic strategy early in adaptation. These findings suggest that dominant arm adaptation to novel inertial dynamics leads to information that can be accessed and utilized by the opposite arm controller, but not vice versa. When compared with our previous findings on interlimb transfer of visuomotor rotations, our current findings suggest that adaptations to visuomotor and dynamic transformations are mediated by distinct neural mechanisms.
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Murali, Ranjani, Hang Yu, Daan R. Speth, Fabai Wu, Kyle S. Metcalfe, Antoine Crémière, Rafael Laso-Pèrez et al. „Physiological potential and evolutionary trajectories of syntrophic sulfate-reducing bacterial partners of anaerobic methanotrophic archaea“. PLOS Biology 21, Nr. 9 (25.09.2023): e3002292. http://dx.doi.org/10.1371/journal.pbio.3002292.

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Sulfate-coupled anaerobic oxidation of methane (AOM) is performed by multicellular consortia of anaerobic methanotrophic (ANME) archaea in obligate syntrophic partnership with sulfate-reducing bacteria (SRB). Diverse ANME and SRB clades co-associate but the physiological basis for their adaptation and diversification is not well understood. In this work, we used comparative metagenomics and phylogenetics to investigate the metabolic adaptation among the 4 main syntrophic SRB clades (HotSeep-1, Seep-SRB2, Seep-SRB1a, and Seep-SRB1g) and identified features associated with their syntrophic lifestyle that distinguish them from their non-syntrophic evolutionary neighbors in the phylum Desulfobacterota. We show that the protein complexes involved in direct interspecies electron transfer (DIET) from ANME to the SRB outer membrane are conserved between the syntrophic lineages. In contrast, the proteins involved in electron transfer within the SRB inner membrane differ between clades, indicative of convergent evolution in the adaptation to a syntrophic lifestyle. Our analysis suggests that in most cases, this adaptation likely occurred after the acquisition of the DIET complexes in an ancestral clade and involve horizontal gene transfers within pathways for electron transfer (CbcBA) and biofilm formation (Pel). We also provide evidence for unique adaptations within syntrophic SRB clades, which vary depending on the archaeal partner. Among the most widespread syntrophic SRB, Seep-SRB1a, subclades that specifically partner ANME-2a are missing the cobalamin synthesis pathway, suggestive of nutritional dependency on its partner, while closely related Seep-SRB1a partners of ANME-2c lack nutritional auxotrophies. Our work provides insight into the features associated with DIET-based syntrophy and the adaptation of SRB towards it.
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Sauer, Yannick, Siegfried Wahl und Katharina Rifai. „Interocular transfer of distortion adaptation“. Journal of Vision 20, Nr. 11 (20.10.2020): 663. http://dx.doi.org/10.1167/jov.20.11.663.

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Redding, Gordon M., und Benjamin Wallace. „Intermanual Transfer of Prism Adaptation“. Journal of Motor Behavior 40, Nr. 3 (Mai 2008): 246–64. http://dx.doi.org/10.3200/jmbr.40.3.246-264.

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Kojima, Yoshiko, Albert F. Fuchs und Robijanto Soetedjo. „Adaptation and adaptation transfer characteristics of five different saccade types in the monkey“. Journal of Neurophysiology 114, Nr. 1 (Juli 2015): 125–37. http://dx.doi.org/10.1152/jn.00212.2015.

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Shifts in the direction of gaze are accomplished by different kinds of saccades, which are elicited under different circumstances. Saccade types include targeting saccades to simple jumping targets, delayed saccades to visible targets after a waiting period, memory-guided (MG) saccades to remembered target locations, scanning saccades to stationary target arrays, and express saccades after very short latencies. Studies of human cases and neurophysiological experiments in monkeys suggest that separate pathways, which converge on a common locus that provides the motor command, generate these different types of saccade. When behavioral manipulations in humans cause targeting saccades to have persistent dysmetrias as might occur naturally from growth, aging, and injury, they gradually adapt to reduce the dysmetria. Although results differ slightly between laboratories, this adaptation generalizes or transfers to all the other saccade types mentioned above. Also, when one of the other types of saccade undergoes adaptation, it often transfers to another saccade type. Similar adaptation and transfer experiments, which allow inferences to be drawn about the site(s) of adaptation for different saccade types, have yet to be done in monkeys. Here we show that simian targeting and MG saccades adapt more than express, scanning, and delayed saccades. Adaptation of targeting saccades transfers to all the other saccade types. However, the adaptation of MG saccades transfers only to delayed saccades. These data suggest that adaptation of simian targeting saccades occurs on the pathway common to all saccade types. In contrast, only the delayed saccade command passes through the adaptation site of the MG saccade.
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Lefumat, Hannah Z., Jean-Louis Vercher, R. Chris Miall, Jonathan Cole, Frank Buloup, Lionel Bringoux, Christophe Bourdin und Fabrice R. Sarlegna. „To transfer or not to transfer? Kinematics and laterality quotient predict interlimb transfer of motor learning“. Journal of Neurophysiology 114, Nr. 5 (November 2015): 2764–74. http://dx.doi.org/10.1152/jn.00749.2015.

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Humans can remarkably adapt their motor behavior to novel environmental conditions, yet it remains unclear which factors enable us to transfer what we have learned with one limb to the other. Here we tested the hypothesis that interlimb transfer of sensorimotor adaptation is determined by environmental conditions but also by individual characteristics. We specifically examined the adaptation of unconstrained reaching movements to a novel Coriolis, velocity-dependent force field. Right-handed subjects sat at the center of a rotating platform and performed forward reaching movements with the upper limb toward flashed visual targets in prerotation, per-rotation (i.e., adaptation), and postrotation tests. Here only the dominant arm was used during adaptation and interlimb transfer was assessed by comparing performance of the nondominant arm before and after dominant-arm adaptation. Vision and no-vision conditions did not significantly influence interlimb transfer of trajectory adaptation, which on average was significant but limited. We uncovered a substantial heterogeneity of interlimb transfer across subjects and found that interlimb transfer can be qualitatively and quantitatively predicted for each healthy young individual. A classifier showed that in our study, interlimb transfer could be predicted based on the subject's task performance, most notably motor variability during learning, and his or her laterality quotient. Positive correlations suggested that variability of motor performance and lateralization of arm movement control facilitate interlimb transfer. We further show that these individual characteristics can predict the presence and the magnitude of interlimb transfer of left-handers. Overall, this study suggests that individual characteristics shape the way the nervous system can generalize motor learning.
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Dissertationen zum Thema "Transfer of adaptation"

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Garrick-Bethell, Ian 1980. „Cross plane transfer of vestibular adaptation to human centrifugation“. Thesis, Massachusetts Institute of Technology, 2004. http://hdl.handle.net/1721.1/17770.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2004.
Includes bibliographical references (p. 101-106).
Human short-radius centrifugation (SRC) is being investigated as a volume-efficient means of delivering intermittent doses of "artificial gravity" to counter the deleterious effects of long exposures to weightlessness. Rotation rates on short radius centrifuges are high to provide the needed g-loading, and therefore entail a variety of unusual vestibular stimuli when certain head movements are made. Since these movements can elicit inappropriate nystagmus, illusions of tumbling, and motion sickness, efforts have been made to adapt people to the stimuli. So far these efforts have been successful in showing that people will adapt to at least one plane of head motion, the yaw (transverse) plane, during supine head-on-axis rotation. However, astronauts must be adapted to all planes of head motion if they are to function normally on the centrifuge. If adaptation to yaw head turns transferred to some extent to pitch (sagittal) plane turns, or any other plane of motion, it would greatly simplify and hasten the adaptation process. To investigate if transfer of adaptation across planes is possible, 10 subjects in the Experimental Group performed a sufficient number of yaw plane head turns to demonstrate adaptation. Adaptation was indicated by decreases in metrics of the off-axis vestibuloocular reflex induced by the head turns, and by subjective ratings of illusory motion. A block of pitch movements was performed before and after the yaw movements, and these two pitch blocks were compared to assess how much adaptation to pitch head turns had taken place. The same procedure was followed on a subsequent day. A Control Group of 10 subjects performed only the blocks of pitch turns, and their adaptation was compared to the adaptation to pitch turns measured in the Experimental
(cont.) Group. While both Control and Experimental Groups showed statistically significant signs of adaptation to pitch head turns, we failed to find any significant differences between the amounts of adaptation. If true, this result implies that adaptation to SRC may need to be performed one plane of motion at a time. Additionally, it implies that the brain and vestibular system does not build up a generalized model of SRC stimulation, but rather builds adaptation one input at a time.
by Ian Garrick-Bethell.
S.M.
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Otte, Ellen. „Transfer of adaptation across movement categories in eye hand coordination /“. kostenfrei, 2008. http://nbn-resolving.de/urn:nbn:de:hbz:294-26534.

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Backlund, Per. „Development process knowledge transfer through method adaptation, implementation, and use /“. Kista : Department of Computer and Systems Sciences, Stockholm University, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-287.

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McFarlane, B. „Novel into film: Transfer and adaptation; the processes of transposition“. Thesis, University of East Anglia, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.374692.

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Lefumat, Hannah. „Interlimb transfer of sensorimotor adaptation : predictive factors and underlying processes“. Thesis, Aix-Marseille, 2016. http://www.theses.fr/2016AIXM4014/document.

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L’adaptation motrice renvoie à la capacité de notre système nerveux à produire continuellement des mouvements précis et ce malgré le fait que notre environnement ainsi que notre corps puissent être soumis à des modifications. Le transfert d’adaptation entre les membres découle de notre habilité à généraliser ce que l’on a appris, par exemple, avec un bras au bras opposé. Le transfert entre les membres est un objet d’étude complexe. Les conditions amenant au transfert sont largement débattues dans la littérature car les résultats d’une étude à l’autre peuvent être contradictoires. Ce travail de thèse s’inscrit dans une tentative d’apporter une explication concernant l’hétérogénéité des performances et les divergences observées dans les différentes études portant sur le transfert entre les membres. Les deux premières expériences avaient pour but d’identifier si des conditions paradigmatiques ou idiosyncratiques pouvaient influencer les performances du transfert au bras opposé. L’objectif de la troisième expérience était d’étudier l’influence des processus sous-jacents à l’adaptation sur le transfert entre les membres d’après le modèle de Smith et collaborateurs (2006). Nos résultats nous ont permis d’éclaircir certains aspects du transfert concernant les facteurs prédictifs et les processus mis en jeu. Nos deux premières études suggèrent que les différences individuelles sont une source d’information pertinente pour expliquer certains comportements tels que le transfert entre les membres. Notre troisième étude nous a permis de caractériser les processus qui, durant l’adaptation, prédisposent au transfert
Motor adaptation refers to the capacity of our nervous system to produce accurate movements while the properties of our body and our environment continuously change. Interlimb transfer is a process that directly stems from motor adaptation. It occurs when knowledge gained through training with one arm change the performance of the opposite arm movements. Interlimb transfer of adaptation is an intricate process. Numerous studies have investigated the patterns of transfer and conflicted results have been found. The attempt of my PhD project was to identify which factors and processes favor interlimb transfer of adaptation and thence may explain the discrepancies found in the literature. The first two experiments aimed at investigated whether paradigmatic or idiosyncratic features would influence the performance in interlimb transfer. The third experiment provided some insights on the processes allowing interlimb transfer by using the dual-rate model of adaptation put forth by Smith et al. (2006). Our results show that inter-individual differences may be a key factor to consider when studying interlimb transfer of adaptation. Also, the study of the different sub-processes of adaptation seems helpful to understand how interlimb transfer works and how it can be related to other behaviors such as the expression of motor memory
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Buechel, Kathryn Jean. „Institutional Adaptation and Public Policy Practices of Military Transfer Credit“. Diss., Virginia Tech, 2020. http://hdl.handle.net/10919/96791.

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Veterans who served our country, return with a wealth of experience that transfer into military credit for prior service. These transfer credits in institutions of higher education apply towards education degree attainment. With colleges and universities implementing individual policies for acceptance of credits, veterans experience a loss of credits leading to a duplication of required classes to achieve degrees. To understand inconsistent practices, both federal and institutions of higher education polices are examined. Framed by institutionalization theory, this research sheds light on the public policy process and administration of credit at the organization over time. The study provides findings for how the largest public college and higher education institution in the state of California awards academic credit for military education. Evidence suggests that public higher education institutions adapt based on effective leaders who define and defend the organization's institutional values and mission. This study provides findings on institutional adaptations to create policies and practices that public administrators use to apply transfer military credit into postsecondary academic credit. The focus is on postsecondary credit transferred, or articulated, by entering military first-year students using the GI Bill. The study asks how have major institutions of higher education formalized institutional policies and practices on awarding academic credit for military education?
Doctor of Philosophy
This study provides findings on institutional adaptations to create policies and practices that public administrators use to apply transfer military credit into postsecondary academic credit. The focus is on postsecondary credit transferred, or articulated, by entering military first-year students using the GI Bill. The study asks how have major institutions of higher education formalized institutional policies and practices on awarding academic credit for military education?
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Meftah, Sara. „Neural Transfer Learning for Domain Adaptation in Natural Language Processing“. Thesis, université Paris-Saclay, 2021. http://www.theses.fr/2021UPASG021.

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Les méthodes d’apprentissage automatique qui reposent sur les Réseaux de Neurones (RNs) ont démontré des performances de prédiction qui s'approchent de plus en plus de la performance humaine dans plusieurs applications du Traitement Automatique de la Langue (TAL) qui bénéficient de la capacité des différentes architectures des RNs à généraliser à partir des régularités apprises à partir d'exemples d'apprentissage. Toutefois, ces modèles sont limités par leur dépendance aux données annotées. En effet, pour être performants, ces modèles neuronaux ont besoin de corpus annotés de taille importante. Par conséquent, uniquement les langues bien dotées peuvent bénéficier directement de l'avancée apportée par les RNs, comme par exemple les formes formelles des langues. Dans le cadre de cette thèse, nous proposons des méthodes d'apprentissage par transfert neuronal pour la construction d'outils de TAL pour les langues peu dotées en exploitant leurs similarités avec des langues bien dotées. Précisément, nous expérimentons nos approches pour le transfert à partir du domaine source des textes formels vers le domaine cible des textes informels (langue utilisée dans les réseaux sociaux). Tout au long de cette thèse nous proposons différentes contributions. Tout d'abord, nous proposons deux approches pour le transfert des connaissances encodées dans les représentations neuronales d'un modèle source, pré-entraîné sur les données annotées du domaine source, vers un modèle cible, adapté par la suite sur quelques exemples annotés du domaine cible. La première méthode transfère des représentations contextuelles pré-entraînées sur le domaine source. Tandis que la deuxième méthode utilise des poids pré-entraînés pour initialiser les paramètres du modèle cible. Ensuite, nous effectuons une série d'analyses pour repérer les limites des méthodes proposées ci-dessus. Nous constatons que, même si l'approche d'apprentissage par transfert proposée améliore les résultats du domaine cible, un transfert négatif « dissimulé » peut atténuer le gain final apporté par l'apprentissage par transfert. De plus, une analyse interprétative du modèle pré-entraîné, montre que les neurones pré-entraînés peuvent être biaisés par ce qu'ils ont appris du domaine source, et donc peuvent avoir des difficultés à apprendre des « patterns » spécifiques au domaine cible. Issu de notre analyse, nous proposons un nouveau schéma d'adaptation qui augmente le modèle cible avec des neurones normalisés, pondérés et initialisés aléatoirement qui permettent une meilleure adaptation au domaine cible tout en conservant les connaissances apprises du domaine source. Enfin, nous proposons une approche d’apprentissage par transfert qui permet de profiter des similarités entre différentes tâches, en plus des connaissances pré-apprises du domaine source
Recent approaches based on end-to-end deep neural networks have revolutionised Natural Language Processing (NLP), achieving remarkable results in several tasks and languages. Nevertheless, these approaches are limited with their "gluttony" in terms of annotated data, since they rely on a supervised training paradigm, i.e. training from scratch on large amounts of annotated data. Therefore, there is a wide gap between NLP technologies capabilities for high-resource languages compared to the long tail of low-resourced languages. Moreover, NLP researchers have focused much of their effort on training NLP models on the news domain, due to the availability of training data. However, many research works have highlighted that models trained on news fail to work efficiently on out-of-domain data, due to their lack of robustness against domain shifts. This thesis presents a study of transfer learning approaches, through which we propose different methods to take benefit from the pre-learned knowledge on the high-resourced domain to enhance the performance of neural NLP models in low-resourced settings. Precisely, we apply our approaches to transfer from the news domain to the social media domain. Indeed, despite the importance of its valuable content for a variety of applications (e.g. public security, health monitoring, or trends highlight), this domain is still poor in terms of annotated data. We present different contributions. First, we propose two methods to transfer the knowledge encoded in the neural representations of a source model pretrained on large labelled datasets from the source domain to the target model, further adapted by a fine-tuning on few annotated examples from the target domain. The first transfers contextualised supervisedly pretrained representations, while the second method transfers pretrained weights, used to initialise the target model's parameters. Second, we perform a series of analysis to spot the limits of the above-mentioned proposed methods. We find that even if the proposed transfer learning approach enhances the performance on social media domain, a hidden negative transfer may mitigate the final gain brought by transfer learning. In addition, an interpretive analysis of the pretrained model, show that pretrained neurons may be biased by what they have learned from the source domain, thus struggle with learning uncommon target-specific patterns. Third, stemming from our analysis, we propose a new adaptation scheme which augments the target model with normalised, weighted and randomly initialised neurons that beget a better adaptation while maintaining the valuable source knowledge. Finally, we propose a model, that in addition to the pre-learned knowledge from the high-resource source-domain, takes advantage of various supervised NLP tasks
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Batikh, Ali. „Saccadic adaptation : cross-modal transfer and effect of spatial attention“. Electronic Thesis or Diss., Lyon 1, 2024. http://www.theses.fr/2024LYO10354.

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Notre cerveau génère continuellement des mouvements oculaires saccadiques et maintient leur précision grâce à l'adaptation saccadique (AS). Bien que l’AS ait été largement étudiée depuis la fin du 20ᵉ siècle, de nombreuses questions restent ouvertes. Par exemple, en plus des cibles visuelles, les saccades peuvent également être effectuées vers des stimuli somatosensoriels et auditifs, mais on ne sait pas si ces ‘saccades non visuelles’ peuvent être adaptées comme les ‘saccades visuelles’. Dans la première partie de cette thèse, nous avons étudié la possibilité de modifier l'amplitude des saccades vers des cibles tactiles (Étude 1) et auditives (Étude 2) via le paradigme du double saut de cible, largement utilisé pour adapter les saccades visuelles (McLaughlin, 1967). Nous avons également étudié le transfert bidirectionnel et intermodal de l'AS entre les saccades réactives (SR) visuelles et tactiles, ainsi qu'entre les SR visuelles et auditives, respectivement. Nos résultats montrent que les saccades tactiles et auditives peuvent être adaptées d’une manière similaire aux SR visuelles. Cependant, les transferts étaient asymétriques : l'adaptation des SR visuelles transfère complètement aux saccades non adaptées tactiles et auditives, tandis que pour l'adaptation des SR tactiles et auditives, malgré leur généralisation aux saccades non adaptées de la même modalité, le transfert aux SR visuelles n’est que partiel. D'une part, le transfert complet de l'adaptation des SR visuelles soutient l'hypothèse actuelle d'un niveau moteur de l'adaptation de ces saccades. D'autre part, les faibles transferts d'adaptation vers les SR visuelles suggèrent l'existence de sites d'adaptation spécifiques aux SR non visuelles, situés en amont de la voie motrice finale commune à toutes les saccadies. La première partie de cette thèse montre que l'AS peut être déclenchée dans l'obscurité, sans information visuelle sur la position post-saccadique de la cible. Cela semble contredire les théories actuelles sur la nature des signaux d'erreur responsables de l'AS, qui reposent toutes sur ce feedback visuel post-saccadique. Un facteur potentiel qui pourrait servir de signal d'erreur pour l'AS est le locus de l'attention spatiale, comme le suggèrent certaines études précédentes. L'orientation covert (sans mouvement des yeux) de l’attention et les saccades contribuent ensemble à la perception visuelle et impliquent des substrats neuronaux communs. De plus, de récentes études montrent que l'AS module l'orientation de l'attention spatiale, tandis que l'effet inverse, de l'attention spatiale sur l'AS, reste indéterminé. Dans la deuxième partie de cette thèse (Étude 3), nous visons à évaluer en profondeur l’effet modulateur de l'attention spatiale sur l'AS. Nous avons utilisé une combinaison du paradigme du double saut de cible (pour induire l'adaptation) et du paradigme d'orientation intermodale de l’attention pour étudier l'effet de l'attention spatiale exogène et endogène tactile sur l'adaptation des saccades réactives et volontaires, respectivement. Nos résultats montrent des corrélations significatives entre l’adaptation (taux et vitesse) et la quantité d'attention allouée vers ou à l'opposé de la cible saccadique adaptée. Ainsi, l'Étude 3 apporte des arguments supplémentaires en faveur d'un couplage entre l'attention spatiale et l'AS, possiblement via un effet de l'attention spatiale sur les signaux d'erreur saccadique au niveau du cortex pariétal postérieur. Ce travail apporte de nouvelles perspectives sur le contrôle de la précision des SR non visuelles et met en lumière le rôle de l'attention spatiale dans l'AS. Bien que des progrès significatifs aient été réalisés par les modèles étudiant la nature des signaux d'erreur qui conduisent à l'AS, ces derniers ne prennent actuellement pas en compte le couplage entre l'attention spatiale et l'AS, ce qui devrait être le sujet de travaux futurs
Our brain continuously generates saccadic eye movements and maintains their accuracy thanks to saccadic adaptation (SA). Despite this plasticity-based mechanism has been widely studied since the late 20th century, many questions remain unanswered. For instance, in addition to visual targets, saccades can also be performed toward somatosensory and auditory stimuli, but whether these ‘non-visual saccades’ can be subject to similar adaptive mechanisms as visual saccades is unknown. In the first part of this thesis, we investigated the possibility of adapting the amplitude of reactive saccades (RS) to tactile (Study 1) and auditory targets (Study 2) via the double target step paradigm, which has largely been used to induce adaptation of visual saccades since its introduction (McLaughlin 1967). We also investigated the bidirectional cross-modal transfer of adaptation between visual and tactile saccades, as well as between visual and auditory saccades, respectively. Our results revealed that tactile and auditory saccades can be adapted in much the same way as visual saccades. However, the transfer patterns were asymmetric: visual SA transferred fully to non-adapted tactile and auditory saccades, whereas tactile and auditory SA, despite complete generalization to saccades of the same modality but toward non-adapted locations, transferred only partially to the non-adapted visual saccades. On the one hand, the full transfer of visual saccades adaptation further supports the current view of a motor adaptation locus for visual RS. On the other hand, the low adaptation transfers to visual saccades suggest the presence of adaptation loci specific to non-visual RS and situated upstream of the final motor pathway common to all saccades. Interestingly, both studies also demonstrate that SA can be elicited in darkness, thus, without the vision of the post-saccadic target location. This seems to contradict current theories on the nature of error signals driving adaptation, which all rely on post-saccadic visual feedback. One potential factor that might serve as an error signal for SA is the locus of spatial attention, as suggested by some previous studies. Spatial attention oriented covertly (no eye movement) and saccadic orienting responses both critically contribute to visual perception and involve overlapping neural substrates. In addition, recent studies show that SA modulates the orienting of spatial attention while the reverse effect, that is, the effect of spatial attention on SA, remains unsettled. In the second part of this thesis (Study 3), we aim to assess in depth the possibility of a modulatory effect of spatial attention on SA. We used a combination of the double-step target paradigm (to induce adaptation) and the cross-modal attentional-orienting paradigm to investigate the effect of tactile exogenous and endogenous spatial attention on the adaptation of reactive and voluntary saccades, respectively. Our results show significant correlations between the amount and speed of saccadic adaptive changes and the amount of attention allocated toward or away from the adapted saccade target. Thus, Study 3 brings additional arguments in favor of a coupling between spatial attention and SA, possibly by means of an effect of spatial attention on the saccadic error signals at the level of the posterior parietal cortex. Overall, this work brings additional empirical insights on the control of accuracy of non-visual RS and further highlights the role of spatial attention in SA. Even though significant advances have been seen in models investigating the nature of the error signals driving SA, they currently do not consider the coupling between spatial attention and SA. Therefore, based on the available literature and the outcomes of this thesis, we suggest that future work should take into account the role of spatial attention in error processing
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Howarth, Christopher. „Pattern adaptation and its interocular transfer in the primary visual cortex“. Thesis, Cardiff University, 2008. http://orca.cf.ac.uk/54710/.

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Adaptation to a high contrast grating temporarily reduces the contrast sensitivity of neurons in the primary visual cortex (VI). If this adaptation is induced in one eye and the contrast tested with the other a partial transfer of the after-effect is produced, known as interocular transfer (IOT). Intrinsic hyperpolarisation of a cells membrane explains most of this effect, but not the orientation selective nature of adaptation. Optical imaging of intrinsic signals in anaesthetised cats and tree shrews was used to visualise orientation selective responses in VI before and after brief and chronic adaptation. Short term adaptation was achieved with drifting gratings of 12.5 or 50% contrast and fixed orientation (0). Three 1-sec flashes of a 100% contrast grating were used as test stimuli. 8 orientation domains were created according to orientation preference, determined on the basis of pre-adaptation orientation maps. 8 oriented test stimulus responses for each domain were obtained from the absorption signal time course averaged over all pixels. Orientation tuning curves comparable to those in single-cell experiments were produced for the orientation selective pixel populations. A region specific reduction in response was seen in the tuning curves such that responses to 0 were reduced most strongly in regions responding best to 0. An additional stimulus specific reduction was observed in responses to 6, even if 0 wasn't the optimal orientation for a domain. Chronic adaptation was induced with 1 hour of drifting sinusoidal grating in tree shrews. In contrast to a similar experiment in the cat, no alteration in the functional layout of the orientation map was observed. Extracellular recording of IOT in the cat primary visual cortex was performed to elucidate its physiological substrate. Orientation tuning curves were recorded before and after left or right eye adaptation with a 25% or 50% contrast drifting grating with the cells preferred orientation and spatial frequency. Cells were a priori categorised according to the binocularity of their control responses. Surprisingly, significant levels of IOT were observed in virtually all monocular cells. Only a weak link was found between ocular dominance and IOT in the full cell population. However, a moderate link between OD and IOT was seen in simple cells. An increase in the response to orthogonal stimuli was also seen in both monocular and binocular cells after adaptation with the non-dominant eye. A subset of complex cells did not display any IOT when adapting with the non-dominant eye and testing with the dominant eye.
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Shell, Jethro. „Fuzzy transfer learning“. Thesis, De Montfort University, 2013. http://hdl.handle.net/2086/8842.

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The use of machine learning to predict output from data, using a model, is a well studied area. There are, however, a number of real-world applications that require a model to be produced but have little or no data available of the specific environment. These situations are prominent in Intelligent Environments (IEs). The sparsity of the data can be a result of the physical nature of the implementation, such as sensors placed into disaster recovery scenarios, or where the focus of the data acquisition is on very defined user groups, in the case of disabled individuals. Standard machine learning approaches focus on a need for training data to come from the same domain. The restrictions of the physical nature of these environments can severely reduce data acquisition making it extremely costly, or in certain situations, impossible. This impedes the ability of these approaches to model the environments. It is this problem, in the area of IEs, that this thesis is focussed. To address complex and uncertain environments, humans have learnt to use previously acquired information to reason and understand their surroundings. Knowledge from different but related domains can be used to aid the ability to learn. For example, the ability to ride a road bicycle can help when acquiring the more sophisticated skills of mountain biking. This humanistic approach to learning can be used to tackle real-world problems where a-priori labelled training data is either difficult or not possible to gain. The transferral of knowledge from a related, but differing context can allow for the reuse and repurpose of known information. In this thesis, a novel composition of methods are brought together that are broadly based on a humanist approach to learning. Two concepts, Transfer Learning (TL) and Fuzzy Logic (FL) are combined in a framework, Fuzzy Transfer Learning (FuzzyTL), to address the problem of learning tasks that have no prior direct contextual knowledge. Through the use of a FL based learning method, uncertainty that is evident in dynamic environments is represented. By combining labelled data from a contextually related source task, and little or no unlabelled data from a target task, the framework is shown to be able to accomplish predictive tasks using models learned from contextually different data. The framework incorporates an additional novel five stage online adaptation process. By adapting the underlying fuzzy structure through the use of previous labelled knowledge and new unlabelled information, an increase in predictive performance is shown. The framework outlined is applied to two differing real-world IEs to demonstrate its ability to predict in uncertain and dynamic environments. Through a series of experiments, it is shown that the framework is capable of predicting output using differing contextual data.
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Bücher zum Thema "Transfer of adaptation"

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Kamnitsas, Konstantinos, Lisa Koch, Mobarakol Islam, Ziyue Xu, Jorge Cardoso, Qi Dou, Nicola Rieke und Sotirios Tsaftaris, Hrsg. Domain Adaptation and Representation Transfer. Cham: Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-16852-9.

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Koch, Lisa, M. Jorge Cardoso, Enzo Ferrante, Konstantinos Kamnitsas, Mobarakol Islam, Meirui Jiang, Nicola Rieke, Sotirios A. Tsaftaris und Dong Yang, Hrsg. Domain Adaptation and Representation Transfer. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-45857-6.

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Organization, Asian Productivity, Hrsg. Technology assimilation and adaptation: Survey & symposium report. Tokyo, Japan: Asian Productivity Organization, 1986.

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Organization, Asian Productivity, Hrsg. Technology development, adaptation, and assimilation strategies at corporate level: Survey report. Tokyo: Asian Productivity Organization, 1994.

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Albarqouni, Shadi, Spyridon Bakas, Konstantinos Kamnitsas, M. Jorge Cardoso, Bennett Landman, Wenqi Li, Fausto Milletari et al., Hrsg. Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-60548-3.

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McFarlane, Brian. Novel into film: Transfer and adaptation : the processes of transposition. Norwich: University ofEast Anglia, 1987.

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A, Kuipers, Klopčič Marija und Thomas Cled, Hrsg. Knowledge transfer in cattle husbandry: New management practices, attitudes and adaptation. Wageningen, The Netherlands: Wageningen Academic Publishers, 2005.

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International, Symposium "Transfer and Adaptation of Advanced Technologies in Asia" (3rd 2001 Novosibirsk Russia). Adaptation and transfer of advanced technologies in Asia: International symposium : proceedings : Novosibirsk, Russia, August 21-23, 2001. Novosibirsk: Publishing House of the Siberian Branch RAS, 2002.

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Albarqouni, Shadi, M. Jorge Cardoso, Qi Dou, Konstantinos Kamnitsas, Bishesh Khanal, Islem Rekik, Nicola Rieke et al., Hrsg. Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-87722-4.

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Wang, Qian, Fausto Milletari, Hien V. Nguyen, Shadi Albarqouni, M. Jorge Cardoso, Nicola Rieke, Ziyue Xu et al., Hrsg. Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-33391-1.

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Buchteile zum Thema "Transfer of adaptation"

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Weik, Martin H. „transfer mode adaptation“. In Computer Science and Communications Dictionary, 1810. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_19895.

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Kamath, Uday, John Liu und James Whitaker. „Transfer Learning: Domain Adaptation“. In Deep Learning for NLP and Speech Recognition, 495–535. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-14596-5_11.

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Weik, Martin H. „asynchronous transfer mode adaptation“. In Computer Science and Communications Dictionary, 71. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_946.

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Gupta, Abhishek, und Yew-Soon Ong. „Sequential Knowledge Transfer Across Problems“. In Adaptation, Learning, and Optimization, 63–82. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-02729-2_5.

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Gupta, Abhishek, und Yew-Soon Ong. „Multitask Knowledge Transfer Across Problems“. In Adaptation, Learning, and Optimization, 83–92. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-02729-2_6.

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Chen, Xiaoyi, und Régis Lengellé. „Domain Adaptation Transfer Learning by Kernel Representation Adaptation“. In Lecture Notes in Computer Science, 45–61. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-93647-5_3.

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Zhang, Huaxiang. „Transfer Learning through Domain Adaptation“. In Advances in Neural Networks – ISNN 2011, 505–12. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21111-9_57.

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Matsun, Aleksandr, Dana O. Mohamed, Sharon Chokuwa, Muhammad Ridzuan und Mohammad Yaqub. „DGM-DR: Domain Generalization with Mutual Information Regularized Diabetic Retinopathy Classification“. In Domain Adaptation and Representation Transfer, 115–25. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-45857-6_12.

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Kushol, Rafsanjany, Richard Frayne, Simon J. Graham, Alan H. Wilman, Sanjay Kalra und Yee-Hong Yang. „Domain Adaptation of MRI Scanners as an Alternative to MRI Harmonization“. In Domain Adaptation and Representation Transfer, 1–11. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-45857-6_1.

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Mello Rella, Edoardo, Ajad Chhatkuli, Ender Konukoglu und Luc Van Gool. „MultiVT: Multiple-Task Framework for Dentistry“. In Domain Adaptation and Representation Transfer, 12–21. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-45857-6_2.

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Konferenzberichte zum Thema "Transfer of adaptation"

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Chang, Hao-Yun, und Wen-Jiin Tsai. „Shadow-Aware Makeup Transfer with Lighting Adaptation“. In 2024 IEEE International Conference on Image Processing (ICIP), 2271–77. IEEE, 2024. http://dx.doi.org/10.1109/icip51287.2024.10647290.

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Xu, Wenjie, Meichen Liu und Bihan Wen. „Low-Rank Transformer Adaptation for Arbitrary Style Transfer“. In ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 1–5. IEEE, 2025. https://doi.org/10.1109/icassp49660.2025.10887739.

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Attaullah, Hasina, Anum Kiani und Thorsten Jungeblut. „Improving Transfer Learning and Domain Adaptation in Smart Homes: The Role of Dynamic Domain Adaptation Layer“. In 2024 International Conference on Frontiers of Information Technology (FIT), 1–6. IEEE, 2024. https://doi.org/10.1109/fit63703.2024.10838396.

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Kim, Yeachan, Jun-Hyung Park, SungHo Kim, Juhyeong Park, Sangyun Kim und SangKeun Lee. „SEED: Semantic Knowledge Transfer for Language Model Adaptation to Materials Science“. In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: Industry Track, 421–28. Stroudsburg, PA, USA: Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.emnlp-industry.31.

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Luo, Yuanchang, Zhanglin Wu, Daimeng Wei, Hengchao Shang, Zongyao Li, Jiaxin Guo, Zhiqiang Rao et al. „Multilingual Transfer and Domain Adaptation for Low-Resource Languages of Spain“. In Proceedings of the Ninth Conference on Machine Translation, 949–54. Stroudsburg, PA, USA: Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.wmt-1.93.

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Hasan, Md Nazmul, Rafia Nishat Toma, Sana Ullah Jan und Insoo Koo. „Transfer Learning with Domain Adaptation for Unlabelled Sensor Faulty Data Classification“. In 2024 15th International Conference on Information and Communication Technology Convergence (ICTC), 42–47. IEEE, 2024. https://doi.org/10.1109/ictc62082.2024.10826888.

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Kahenga, Ferdinand, Antoine Bagula und Sajal K. Das. „FedDAFL: Federated Transfer Learning with Domain Adaptation for Frugally Labeled Datasets“. In GLOBECOM 2024 - 2024 IEEE Global Communications Conference, 2142–47. IEEE, 2024. https://doi.org/10.1109/globecom52923.2024.10901238.

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Li, Lusi, Haibo He, Jie Li und Guang Yang. „Adversarial Domain Adaptation via Category Transfer“. In 2019 International Joint Conference on Neural Networks (IJCNN). IEEE, 2019. http://dx.doi.org/10.1109/ijcnn.2019.8851925.

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Wang, Jindong, Yiqiang Chen, Shuji Hao, Wenjie Feng und Zhiqi Shen. „Balanced Distribution Adaptation for Transfer Learning“. In 2017 IEEE International Conference on Data Mining (ICDM). IEEE, 2017. http://dx.doi.org/10.1109/icdm.2017.150.

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Chen, Zhihong, Chao Chen, Zhaowei Cheng, Boyuan Jiang, Ke Fang und Xinyu Jin. „Selective Transfer With Reinforced Transfer Network for Partial Domain Adaptation“. In 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2020. http://dx.doi.org/10.1109/cvpr42600.2020.01272.

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Berichte der Organisationen zum Thema "Transfer of adaptation"

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Thompson, B., T. Koren und B. Buffam. PPP Over Asynchronous Transfer Mode Adaptation Layer 2 (AAL2). RFC Editor, Dezember 2002. http://dx.doi.org/10.17487/rfc3336.

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Thompson, B., T. Koren und B. Buffam. Class Extensions for PPP over Asynchronous Transfer Mode Adaptation Layer 2. RFC Editor, Dezember 2002. http://dx.doi.org/10.17487/rfc3337.

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Morneault, K., R. Dantu, G. Sidebottom, B. Bidulock und J. Heitz. Signaling System 7 (SS7) Message Transfer Part 2 (MTP2) - User Adaptation Layer. RFC Editor, September 2002. http://dx.doi.org/10.17487/rfc3331.

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Sidebottom, G., K. Morneault und J. Pastor-Balbas, Hrsg. Signaling System 7 (SS7) Message Transfer Part 3 (MTP3) - User Adaptation Layer (M3UA). RFC Editor, September 2002. http://dx.doi.org/10.17487/rfc3332.

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Morneault, K., und J. Pastor-Balbas, Hrsg. Signaling System 7 (SS7) Message Transfer Part 3 (MTP3) - User Adaptation Layer (M3UA). RFC Editor, September 2006. http://dx.doi.org/10.17487/rfc4666.

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George, T., B. Bidulock, R. Dantu, H. Schwarzbauer und K. Morneault. Signaling System 7 (SS7) Message Transfer Part 2 (MTP2) - User Peer-to-Peer Adaptation Layer (M2PA). RFC Editor, September 2005. http://dx.doi.org/10.17487/rfc4165.

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Sorensen, Soren J. Importance of Mobile Genetic Elements and Conjugal Gene Transfer for Subsurface Microbial Community Adaptation to Biotransformation of Metals. Office of Scientific and Technical Information (OSTI), Juni 2005. http://dx.doi.org/10.2172/893590.

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Sorensen, Soren J. Importance of Mobile Genetic Elements and Conjugal Gene Transfer for Subsurface Microbial Community Adaptation to Biotransformation of Metals. Office of Scientific and Technical Information (OSTI), Juni 2004. http://dx.doi.org/10.2172/893687.

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Vilalta, Ricardo. Modern Machine Learning Techniques. Instats Inc., 2024. http://dx.doi.org/10.61700/6sziq6usb3koe786.

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This workshop offers a comprehensively introduction to modern machine learning techniques in Python. Designed for PhD students, professors, and professional researchers, the seminar covers a variety of valuable techniques for machine learning, from meta-learning and transfer learning, to domain adaptation, active learning, deep learning, and Bayesian networks, equipping participants with key practical skills to enhance their research capabilities.
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Lindner, André, Jürgen Stamm, Edeltraud Günther, Mukand Babel, Hasmik Barseghyan und Kensuke Fukushi Titel. Water security and climate change adaptation as local challenges with global importance – addressing the gap between knowledge generation and best practice application. Technische Universität Dresden, 2022. http://dx.doi.org/10.25368/2023.117.

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The communication of naturally complex issues like climate change, tipping points, socio-ecological systems, and their interaction with the hydrological cycle and water security is equally important as it is challenging. Beyond the complexity, the long-term and often delayed characteristics furthermore do not match with either political election cycles or quarterly business reports. Academic institutions are at the forefront to assess, reveal and understand such complex systems, but certainly more engagement is needed to effectively transfer the most urgent derivations in practice and policy on the one hand, but also invest into a continuing effort in creating a general understanding and susceptibility to crucial stakeholders of those characteristics on the other. Transformative interaction, and hence closing the gap between knowledge generation and best practice application needs to be eased down to an implementable level, but without any oversimplification. A prerequisite for such an approach in successful multilateral cooperation would be a common baseline – a mutual Water Culture among all stakeholders when addressing water security with meaningful climate adaptation measures.
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