Academic literature on the topic 'Neural substrate'

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Journal articles on the topic "Neural substrate"

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Alderton, Gemma. "The neural substrate of memory." Science 367, no. 6473 (January 2, 2020): 36.9–38. http://dx.doi.org/10.1126/science.367.6473.36-i.

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FRIEDMAN, ERNEST H. "Neural Substrate of Empathic Communication." American Journal of Psychiatry 146, no. 6 (June 1989): 817—a—817. http://dx.doi.org/10.1176/ajp.146.6.817-a.

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Morra, J. T. "The Neural Substrate of Disappointment Revealed?" Journal of Neuroscience 27, no. 40 (October 3, 2007): 10647–48. http://dx.doi.org/10.1523/jneurosci.3026-07.2007.

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KALIVAS, PETER W. "NEURAL SUBSTRATE OF SENSITIZATION TO PSYCHOSTIMULANTS." Clinical Neuropharmacology 15 (1992): 648A—649A. http://dx.doi.org/10.1097/00002826-199201001-00335.

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Murtha, Susan, Howard Chertkow, Mario Beauregard, and Alan Evans. "The Neural Substrate of Picture Naming." Journal of Cognitive Neuroscience 11, no. 4 (July 1999): 399–423. http://dx.doi.org/10.1162/089892999563508.

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A PET study of 10 normal males was carried out using the bolus H215O intravenous injection technique to examine the effects of picture naming and semantic judgment on blood flow. In a series of conditions, subjects (1) passively viewed flashing plus signs, (2) noted the occurrence of abstract patterns, (3) named animal pictures, or (4) carried out a semantic judgment on animal pictures. Anticipatory scans were carried out after the subjects were presented with the instructions but before they began the cognitive task, as they were passively viewing plus signs. Our results serve to clarify a number of current controversies regarding the neural substrate of picture naming. The results indicate that the fusiform gyrus is unlikely to be the region where low-level perceptual processing such as shape analysis is undertaken. In fact, our evidence suggests that activation of the fusiform gyrus is most likely related to visual perceptual semantic processing. In addition, the inferior/middle frontal lobe activity observed while performing the picture naming and semantic judgment tasks does not appear to be due to the effects of anticipation or preparation. Furthermore, there appears to be a set of regions (a semantic network) that becomes activated regardless of whether the subjects perform a picture naming or semantic judgment task. Finally, picture naming of animals did not activate either parietal regions or anterior inferior left temporal regions, regardless of what subtraction baseline was used.
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Griffiths, T. D. "A neural substrate for musical hallucinosis." Neurocase 3, no. 3 (June 1, 1997): 167a—172. http://dx.doi.org/10.1093/neucas/3.3.167-a.

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Lévesque, Johanne, Yves Joanette, Boualem Mensour, Pierre Bourgouin, and Mario Beauregard. "Neural substrate of sadness in children." NeuroImage 13, no. 6 (June 2001): 439. http://dx.doi.org/10.1016/s1053-8119(01)91782-3.

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Villarreal, Mirta, Esteban A. Fridman, Alejandra Amengual, German Falasco, Eliana Roldan Gerscovich, Erlinda R. Ulloa, and Ramon C. Leiguarda. "The neural substrate of gesture recognition." Neuropsychologia 46, no. 9 (July 2008): 2371–82. http://dx.doi.org/10.1016/j.neuropsychologia.2008.03.004.

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Griffiths, T. D., M. C. Jackson, J. A. Spillane, K. J. Friston, and R. S. J. Frackowiak. "A neural substrate for musical hallucinosis." Neurocase 3, no. 3 (May 1997): 167–72. http://dx.doi.org/10.1080/13554799708404051.

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Kavanau, J. Lee. "Conservative behavioural evolution, the neural substrate." Animal Behaviour 39, no. 4 (April 1990): 758–67. http://dx.doi.org/10.1016/s0003-3472(05)80387-2.

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Dissertations / Theses on the topic "Neural substrate"

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Zim, Bret E. "Improved Fabrication and Quality Control of Substrate Integrated Microelectrode Arrays." Thesis, University of North Texas, 2000. https://digital.library.unt.edu/ark:/67531/metadc2484/.

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Spontaneously active monolayer neuronal networks cultured on photoetched multimicroelectrode plates (MMEPs) offer great potential for use in studying neuronal networks. However, there are many problems associated with frequent, long-term use of MMEPs. The major problems include (1) polysiloxane insulation deterioration and breakdown, (2) and loss of gold at the gold electroplated indium-tin oxide (ITO) electrodes. The objective of this investigation was to correct these major problems. Quality control measures were employed to monitor MMEP fabrication variables. The phenotypes of polysiloxane degradation were identified and classified. Factors that were found to contribute most to insulation deterioration were (1) moisture contamination during MMEP insulation, (2) loss of the quartz barrier layer from excessive exposure to basic solutions, and (3) repetitive use in culture. As a result, the insulation equipment and methods were modified to control moisture-dependent insulation deterioration, and the KOH reprocessing solution was replaced with tetramethylguanidine to prevent damage to the quartz. The problems associated with gold electroplating were solved via the addition of a pulsed-DC application of gold in a new citrate buffered electroplating solution.
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Marcos, Sanmartín Encarni. "Embodied decision making and its neural substrate." Doctoral thesis, Universitat Pompeu Fabra, 2014. http://hdl.handle.net/10803/285379.

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Decisions are the result of a deliberative process that evaluates the suitability of specific options. Studies about decision making have been mainly conducted by using restricted tasks in which humans or animals are requested to discriminate between options. However, the influence that factors related to embodiment, such as motor cost, might have on this process has frequently been ignored. In this thesis, we adopt a combined experimental and theoretical approach to examine the effect that such factors have on decision making. Our results confirm an important bias of behavior and neural activity resulting from factors related to embodiment that are external to the goal of the task itself. We use computational models to account for this bias and to shed some light on the neural mechanisms producing it. Our results translate into significant progress in the understanding of embodied decision making, providing new insights into neural mechanisms and theoretical models.
Las decisiones son el resultado de un proceso de deliberación que evalúa la idoneidad de opciones específicas. Los estudios acerca de la toma de decisiones han estado principalmente dirigidos usando tareas restringidas en las que a los humanos o animales se les pide escoger entre opciones. Sin embargo, la influencia que factores relacionados con la corporificación de la toma de decisiones podrían tener en este proceso se ha ignorado frecuentemente. En esta tesis, adoptamos un enfoque experimental y teórico combinado para examinar la influencia que estos factores tienen en la toma de decisiones. Nuestros resultados confirman un importante sesgado del comportamiento y de la actividad neuronal causados por factores que son externos al objetivo de la tarea en sí. Utilizamos modelos computacionales para interpretar este sesgado que, a su vez, nos da una intuición del mecanismo neuronal que los está produciendo. Nuestros resultados se traducen en un significante progreso en la comprensión de la toma de decisiones corporificada, aportando nuevos conocimientos sobre los mecanismos neuronales y modelos teóricos.
Les decisions són el resultat d'un procés de deliberació que avalua la idoneïtat d'opcions específiques. Els estudis sobre la presa de decisions han estat principalment dirigits fent servir tasques restringides a les quals, als humans o animals, se'ls demana escollir entre opcions. No obstant, la influència que factors relacionats amb la corporificació de la presa de decisions podrien tenir en aquest procés s'ha ignorat freqüentment. En aquesta tesi, adoptem un enfocament experimental i teòric combinat per tal d'examinar la influència que aquests factors tenen en la presa de decisions. Els nostres resultats confirmen un important esbiaixat del comportament i de l'activitat neuronal degut a factors externs a l'objectiu de la tasca en sí. Fem servir models computacionals per tal d'interpretar aquest esbiaixat que, a la vegada, ens dóna una intuïció del mecanisme que l'està produint. La tesi conclou amb la presentació d'un únic model que integra tots els descobriments presentats i que podria utilitzar-se com a nou marc teòric per a recerques futures. En general, els resultats inclosos aquí es tradueixen en un significant progrés a la comprensió de la presa de decisions corporificada, aportant nous coneixements sobre els mecanismes neuronals i models teòrics.
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Cho, Hyesuk. "Exploring a Common Neural Substrate of Reading and Spelling." Diss., The University of Arizona, 2010. http://hdl.handle.net/10150/195488.

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Whether reading and spelling rely on the same orthographic representations has been a controversial issue in the neuropsychology literature. In general, associations between patterns of alexia and agraphia in neurological patients have been interpreted to support the view that reading and spelling share the same orthographic lexicon. By contrast, dissociations between reading and spelling profiles are considered as evidence for the existence of separate orthographic input and output lexicons subserving written word recognition and production. Neuroimaging research relevant to the neural substrates of orthographic processing has shown consistent association between reading and activation in the mid-lateral portions of the left fusiform gyrus (BA 37), a region that has come to be known as the "visual word form area" (VWFA). Critically, it has been shown that spelling words also activates the VWFA. These findings seem to confirm the central role of the VWFA in orthographic processing and support the view that the same orthographic representations mediate reading and spelling. Unfortunately, the available neuroimaging evidence on the relationship between reading and spelling is limited in that the relevant studies typically have involved different subject groups. The purpose of this study was to investigate whether the cortical region responsible for orthographic processing during reading is also activated during spelling in the same individuals using fMRI (functional magnetic resonance imaging). Fifteen native English speakers participated in the study and were administered reading and writing tasks designed to isolate cortical regions involved in orthographic processing during reading and writing. Results showed that the left mid fusiform gyrus corresponding to the VWFA is associated not only with orthographic processing in reading but is also recruited during the retrieval of orthographic information in spelling, suggesting that this cortical region is the common neural substrate of orthographic processing for both written language tasks. These findings are consistent with shared components cognitive models that postulate a single orthographic lexicon mediating both reading and spelling.
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Weddell, Rodger Anthony. "The neural substrate of emotion in man : a study in methodology." Thesis, University of Edinburgh, 1986. http://hdl.handle.net/1842/19402.

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Jones, Erin Boote. "Effects of substrate and co-culture on neural progenitor cell differentiation." [Ames, Iowa : Iowa State University], 2008.

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Veen, Daniel Rutger van der. "Neural substrate and the timing of behaviour in a multiple clock system." [S.l. : Groningen : s.n. ; University Library of Groningen] [Host], 2007. http://irs.ub.rug.nl/ppn/305367048.

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Lado, Wudu E. "The Neural Substrate of Sex Pheromone Signalling in Male Goldfish (Carassius auratus)." Thèse, Université d'Ottawa / University of Ottawa, 2012. http://hdl.handle.net/10393/23460.

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The transmission of sex pheromone-mediated signals is essential for goldfish reproduction. However, the neural pathways underlying this reproductive signalling pathway in the goldfish brain is not well described. Lesioning experiments have shown previously that two brain areas, the preoptic area (POA) and the ventral telencephali pars ventralis (Vv) in particular, are important for reproduction. We used patch clamp electrophysiology to study the electrical activities of POA and Vv neurons. Based on the intrinsic properties of these neurons, we suggest there are five different functional classes of POA neurons and a single class of Vv neurons. In addition, by electrically stimulating the olfactory bulb (OB), we were able to show that this primary sensory structure makes monosynaptic glutamatergic connections with both POA and Vv neurons. While electrophysiology measures signalling events occurring at short time scales on the order of milliseconds to minutes, we were also interested in studying sex pheromone signalling in the goldfish brain over a long time scale. Thus, we describe changes in gene expression in male goldfish exposed to waterborne sex pheromones (17alpha,20beta dihydroxy-4-pregene-3-one and Prostaglandin-F2alpha) over 6 hours. We perform cDNA microarrays on Prostaglandin-F2alpha-treated fish to study the rapid modulation of transcription and define the signalling pathways affected. Our microarrays showed that 71 genes were differentially regulated (67 up and 4 down). Through gene ontology enrichment analysis, we found that these genes were involved in various biological processes such as RNA processing, neurotransmission, neuronal development, apoptosis, cellular metabolism and sexual reproduction. RT-PCRs were performed to validate our microarrays and to facilitate direct comparisons of the effects of the two sex pheromones, 17alpha,20beta dihydroxy-4-pregene-3-one and Prostaglandin-F2alpha. By combining electrophysiology and gene expression analyses, we were able to study sex-pheromone signalling on two different time scales. One short, occurring on the order of milliseconds to minutes, that involves electrical activities in the brain through the glutamatergic amino-3-hydroxy-5-methylisoxazole-4-propionate and N-methyl-D-aspartate receptors; and the other long occurring several hours later that involves changes in the gene expression levels of calmodulin and ependymin among other genes underlying neuroplasticity. Reproductive neuroplasticity in the goldfish may therefore require the activation of glutamatergic receptors which then activate downstream signals like calmodulin and ependymin to transform the sex pheromones-mediate signal into gene expression.
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Lu, Yiqing [Verfasser], Ralf [Akademischer Betreuer] Galuske, Bodo [Akademischer Betreuer] Laube, and Wolf [Akademischer Betreuer] Singer. "The Neural Substrate of the Eureka Effect / Yiqing Lu ; Ralf Galuske, Bodo Laube, Wolf Singer." Darmstadt : Universitäts- und Landesbibliothek Darmstadt, 2018. http://d-nb.info/1172880298/34.

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Howk, Cory Lee. "A mathematical model for IL6-induced differentiation of neural progenitor cells on a micropatterned polymer substrate." [Ames, Iowa : Iowa State University], 2010. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3403078.

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Mouterde, Solveig. "Long-range discrimination of individual vocal signatures by a songbird : from propagation constraints to neural substrate." Thesis, Saint-Etienne, 2014. http://www.theses.fr/2014STET4012/document.

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L'un des plus grands défis posés par la communication est que l'information codée par l'émetteur est toujours modifiée avant d'atteindre le récepteur, et que celui-ci doit traiter cette information altérée afin de recouvrer le message. Ceci est particulièrement vrai pour la communication acoustique, où la transmission du son dans l'environnement est une source majeure de dégradation du signal, ce qui diminue l'intensité du signal relatif au bruit. La question de savoir comment les animaux transmettent l'information malgré ces conditions contraignantes a été l'objet de nombreuses études, portant soit sur l'émetteur soit sur le récepteur. Cependant, une recherche plus intégrée sur l'analyse de scènes auditives est nécessaire pour aborder cette tâche dans toute sa complexité. Le but de ma recherche était d'utiliser une approche transversale afin d'étudier comment les oiseaux s'adaptent aux contraintes de la communication à longue distance, en examinant le codage de l'information au niveau de l'émetteur, les dégradations du signal acoustiques dues à la propagation, et la discrimination de cette information dégradée par le récepteur, au niveau comportemental comme au niveau neuronal. J'ai basé mon travail sur l'idée de prendre en compte les problèmes réellement rencontrés par les animaux dans leur environnement naturel, et d'utiliser des stimuli reflétant la pertinence biologique des problèmes posés à ces animaux. J'ai choisi de me focaliser sur l'information d'identité individuelle contenue dans le cri de distance des diamants mandarins (Taeniopygia guttata) et d'examiner comment la signature vocale individuelle est codée, dégradée, puis discriminée et décodée, depuis l'émetteur jusqu'au récepteur. Cette étude montre que la signature individuelle des diamants mandarins est très résistante à la propagation, et que les paramètres acoustiques les plus individualisés varient selon la distance considérée. En testant des femelles dans les expériences de conditionnement opérant, j'ai pu montrer que celles-ci sont expertes pour discriminer entre les signature vocales dégradées de deux mâles, et qu'elles peuvent s'améliorer en s'entraînant. Enfin, j'ai montré que cette capacité de discrimination impressionnante existe aussi au niveau neuronal : nous avons montré l'existence d'une population de neurones pouvant discriminer des voix individuelles à différent degrés de dégradation, sans entrainement préalable. Ce niveau de traitement évolué, dans le cortex auditif primaire, ouvre la voie à de nouvelles recherches, à l'interface entre le traitement neuronal de l'information et le comportement
In communication systems, one of the biggest challenges is that the information encoded by the emitter is always modified before reaching the receiver, who has to process this altered information in order to recover the intended message. In acoustic communication particularly, the transmission of sound through the environment is a major source of signal degradation, caused by attenuation, absorption and reflections, all of which lead to decreases in the signal relative to the background noise. How animals deal with the need for exchanging information in spite of constraining conditions has been the subject of many studies either at the emitter or at the receiver's levels. However, a more integrated research about auditory scene analysis has seldom been used, and is needed to address the complexity of this process. The goal of my research was to use a transversal approach to study how birds adapt to the constraints of long distance communication by investigating the information coding at the emitter's level, the propagation-induced degradation of the acoustic signal, and the discrimination of this degraded information by the receiver at both the behavioral and neural levels. Taking into account the everyday issues faced by animals in their natural environment, and using stimuli and paradigms that reflected the behavioral relevance of these challenges, has been the cornerstone of my approach. Focusing on the information about individual identity in the distance calls of zebra finches Taeniopygia guttata, I investigated how the individual vocal signature is encoded, degraded, and finally discriminated, from the emitter to the receiver. This study shows that the individual signature of zebra finches is very resistant to propagation-induced degradation, and that the most individualized acoustic parameters vary depending on distance. Testing female birds in operant conditioning experiments, I showed that they are experts at discriminating between the degraded vocal signatures of two males, and that they can improve their ability substantially when they can train over increasing distances. Finally, I showed that this impressive discrimination ability also occurs at the neural level: we found a population of neurons in the avian auditory forebrain that discriminate individual voices with various degrees of propagation-induced degradation without prior familiarization or training. The finding of such a high-level auditory processing, in the primary auditory cortex, opens a new range of investigations, at the interface of neural processing and behavior
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Books on the topic "Neural substrate"

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Iqbal, Azlan, Matej Guid, Simon Colton, Jana Krivec, Shazril Azman, and Boshra Haghighi. The Digital Synaptic Neural Substrate. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-28079-0.

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Call, Josep, Gordon M. Burghardt, Irene M. Pepperberg, Charles T. Snowdon, and Thomas Zentall, eds. APA handbook of comparative psychology: Basic concepts, methods, neural substrate, and behavior. Washington: American Psychological Association, 2017. http://dx.doi.org/10.1037/0000011-000.

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Schmajuk, Nestor A. Latent Inhibition and Its Neural Substrates. Boston, MA: Springer US, 2002. http://dx.doi.org/10.1007/978-1-4615-0841-0.

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Latent inhibition and its neural substrates. Boston: Kluwer Academic Pub., 2002.

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Schmajuk, Nestor A. Latent inhibition and its neural substrates. Boston: Kluwer Academic Pub., 2002.

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Loeb, C., and G. F. Poggio. Neural Substrates of Memory, Affective Functions, and Conscious Experience. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/978-3-642-59432-8.

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Elizabeth, Hillis Argye, ed. New techniques for identifying the neural substrates of language. [Hove, East Sussex: Psychology Press, 2002.

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S, Lund Jennifer, Werner Gerhard 1921-, and University of Pittsburgh. Center for Neuroscience., eds. Sensory processing in the mammalian brain: Neural substrates and experimental strategies. New York: Oxford University Press, 1989.

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Petrovici, Mihai Alexandru. Form Versus Function: Theory and Models for Neuronal Substrates. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-39552-4.

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Colvin, Leigh Elizabeth. The Psychological Factors and Neural Substrates Associated with Metacognition among Community-Dwelling and Neurologic Cohorts of Older Adults. [New York, N.Y.?]: [publisher not identified], 2019.

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Book chapters on the topic "Neural substrate"

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Iqbal, Azlan, Matej Guid, Simon Colton, Jana Krivec, Shazril Azman, and Boshra Haghighi. "Introduction." In The Digital Synaptic Neural Substrate, 1–3. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-28079-0_1.

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Iqbal, Azlan, Matej Guid, Simon Colton, Jana Krivec, Shazril Azman, and Boshra Haghighi. "Review." In The Digital Synaptic Neural Substrate, 5–10. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-28079-0_2.

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Iqbal, Azlan, Matej Guid, Simon Colton, Jana Krivec, Shazril Azman, and Boshra Haghighi. "Methodology." In The Digital Synaptic Neural Substrate, 11–19. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-28079-0_3.

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Iqbal, Azlan, Matej Guid, Simon Colton, Jana Krivec, Shazril Azman, and Boshra Haghighi. "Experimental Work." In The Digital Synaptic Neural Substrate, 21–44. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-28079-0_4.

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Iqbal, Azlan, Matej Guid, Simon Colton, Jana Krivec, Shazril Azman, and Boshra Haghighi. "Consolidation of Results." In The Digital Synaptic Neural Substrate, 45–48. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-28079-0_5.

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Iqbal, Azlan, Matej Guid, Simon Colton, Jana Krivec, Shazril Azman, and Boshra Haghighi. "Conclusions." In The Digital Synaptic Neural Substrate, 49–50. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-28079-0_6.

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Postma, Eric O., H. Jaap van den Herik, and Patrick T. W. Hudson. "The Gating Lattice: A Neural Substrate for Dynamic Gating." In Computation and Neural Systems, 221–25. Boston, MA: Springer US, 1993. http://dx.doi.org/10.1007/978-1-4615-3254-5_34.

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Flynn, John T. "What Is the Neural Substrate of Strabismus?" In Strabismus A Neurodevelopmental Approach, 4–27. New York, NY: Springer New York, 1991. http://dx.doi.org/10.1007/978-1-4612-3058-8_2.

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Landreth, Anthony. "Emotion and the neural substrate of moral judgment." In Fact and Value in Emotion, 157–79. Amsterdam: John Benjamins Publishing Company, 2008. http://dx.doi.org/10.1075/ceb.4.09lan.

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MacLennan, Bruce J. "Neural networks, learning, and intelligence." In APA handbook of comparative psychology: Basic concepts, methods, neural substrate, and behavior., 579–97. Washington: American Psychological Association, 2017. http://dx.doi.org/10.1037/0000011-028.

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Conference papers on the topic "Neural substrate"

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Hansson, Bill S. "A newDrosophilapheromone and its neural substrate." In 2016 International Congress of Entomology. Entomological Society of America, 2016. http://dx.doi.org/10.1603/ice.2016.93812.

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Li, Jun, Jimin Liang, Jie Tian, Hui Zhang, and Guangming Shi. "A study of specific neural substrate for face processing." In Medical Imaging, edited by Xiaoping P. Hu and Anne V. Clough. SPIE, 2008. http://dx.doi.org/10.1117/12.770137.

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Lee, Joowon, Hyunbeen Jeong, Jisung Kim, and Jong-Mo Seo. "Investigation of neural electrode fabrication process on Polycarbonate substrate." In 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). IEEE, 2022. http://dx.doi.org/10.1109/embc48229.2022.9871364.

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Yan, Shuxia, Nana Yang, Zhifeng Chen, Peng Huang, and Weiguang Shi. "Artificial Neural Networks Modeling Technology for Substrate Integrated Suspended Line." In 2021 22nd International Conference on Electronic Packaging Technology (ICEPT). IEEE, 2021. http://dx.doi.org/10.1109/icept52650.2021.9567905.

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Arthur, John V., Paul A. Merolla, Filipp Akopyan, Rodrigo Alvarez, Andrew Cassidy, Shyamal Chandra, Steven K. Esser, et al. "Building block of a programmable neuromorphic substrate: A digital neurosynaptic core." In 2012 International Joint Conference on Neural Networks (IJCNN 2012 - Brisbane). IEEE, 2012. http://dx.doi.org/10.1109/ijcnn.2012.6252637.

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Billaudelle, S., Y. Stradmann, K. Schreiber, B. Cramer, A. Baumbach, D. Dold, J. Goltz, et al. "Versatile Emulation of Spiking Neural Networks on an Accelerated Neuromorphic Substrate." In 2020 IEEE International Symposium on Circuits and Systems (ISCAS). IEEE, 2020. http://dx.doi.org/10.1109/iscas45731.2020.9180741.

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Lugscheider, E., and K. Seemann. "Prediction of Plasma Sprayed Coating Properties by the Use of Neural Networks." In ITSC2004, edited by Basil R. Marple and Christian Moreau. ASM International, 2004. http://dx.doi.org/10.31399/asm.cp.itsc2004p0459.

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Abstract The number of parameters and noise factors that influence the plasma spraying process is huge, with over 200 known. Today, only a few parameters such as gas flow rate, current, voltage, spraying distance and substrate roughness can be controlled. In recent years, several particle diagnostic systems have been developed, which give the chance to control processes much better than at present. These techniques are now close to being introduced in industrial applications. In addition to the in-flight particle properties, the surface temperature of the substrate has a large influence on the coating quality. Statistical methods are widely used to quantify the influences of the particle and substrate characteristics. Neural networks provide a greater capability to analyse particle characteristics and substrate temperature data for coating quality control. In this work, the analysis of comprehensive process data and coating characteristics using neural networks is investigated and compared to established design of experiments (DOE) statistical methods.
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Marcos, Encarni, Armin Duff, Marti Sanchez-Fibla, and Paul F. M. J. Verschure. "The neuronal substrate underlying order and interval representations in sequential tasks: A biologically based robot study." In 2010 International Joint Conference on Neural Networks (IJCNN). IEEE, 2010. http://dx.doi.org/10.1109/ijcnn.2010.5596919.

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Stieglitz, Thomas, Martin Schuettler, Birthe Rubehn, Tim Boretius, Jordi Badia, and Xavier Navarro. "Evaluation of polyimide as substrate material for electrodes to interface the peripheral nervous system." In 5th International IEEE/EMBS Conference on Neural Engineering (NER 2011). IEEE, 2011. http://dx.doi.org/10.1109/ner.2011.5910602.

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Kujawa, Sebastian, Jakub Mazurkiewicz, Wojciech Mueller, Łukasz Gierz, Krzysztof Przybył, Dawid Wojcieszak, Maciej Zaborowicz, Krzysztof Koszela, and Piotr Boniecki. "Identification of co-substrate composted with sewage sludge using convolutional neural networks." In Eleventh International Conference on Digital Image Processing, edited by Xudong Jiang and Jenq-Neng Hwang. SPIE, 2019. http://dx.doi.org/10.1117/12.2539800.

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Reports on the topic "Neural substrate"

1

Jones, Erin Boote. Effects of Substrate and Co-Culture on Neural Progenitor Cell Differentiation. Office of Scientific and Technical Information (OSTI), January 2008. http://dx.doi.org/10.2172/939376.

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2

Irudayaraj, Joseph, Ze'ev Schmilovitch, Amos Mizrach, Giora Kritzman, and Chitrita DebRoy. Rapid detection of food borne pathogens and non-pathogens in fresh produce using FT-IRS and raman spectroscopy. United States Department of Agriculture, October 2004. http://dx.doi.org/10.32747/2004.7587221.bard.

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Rapid detection of pathogens and hazardous elements in fresh fruits and vegetables after harvest requires the use of advanced sensor technology at each step in the farm-to-consumer or farm-to-processing sequence. Fourier-transform infrared (FTIR) spectroscopy and the complementary Raman spectroscopy, an advanced optical technique based on light scattering will be investigated for rapid and on-site assessment of produce safety. Paving the way toward the development of this innovative methodology, specific original objectives were to (1) identify and distinguish different serotypes of Escherichia coli, Listeria monocytogenes, Salmonella typhimurium, and Bacillus cereus by FTIR and Raman spectroscopy, (2) develop spectroscopic fingerprint patterns and detection methodology for fungi such as Aspergillus, Rhizopus, Fusarium, and Penicillium (3) to validate a universal spectroscopic procedure to detect foodborne pathogens and non-pathogens in food systems. The original objectives proposed were very ambitious hence modifications were necessary to fit with the funding. Elaborate experiments were conducted for sensitivity, additionally, testing a wide range of pathogens (more than selected list proposed) was also necessary to demonstrate the robustness of the instruments, most crucially, algorithms for differentiating a specific organism of interest in mixed cultures was conceptualized and validated, and finally neural network and chemometric models were tested on a variety of applications. Food systems tested were apple juice and buffer systems. Pathogens tested include Enterococcus faecium, Salmonella enteritidis, Salmonella typhimurium, Bacillus cereus, Yersinia enterocolitis, Shigella boydii, Staphylococus aureus, Serratiamarcescens, Pseudomonas vulgaris, Vibrio cholerae, Hafniaalvei, Enterobacter cloacae, Enterobacter aerogenes, E. coli (O103, O55, O121, O30 and O26), Aspergillus niger (NRRL 326) and Fusarium verticilliodes (NRRL 13586), Saccharomyces cerevisiae (ATCC 24859), Lactobacillus casei (ATCC 11443), Erwinia carotovora pv. carotovora and Clavibacter michiganense. Sensitivity of the FTIR detection was 103CFU/ml and a clear differentiation was obtained between the different organisms both at the species as well as at the strain level for the tested pathogens. A very crucial step in the direction of analyzing mixed cultures was taken. The vector based algorithm was able to identify a target pathogen of interest in a mixture of up to three organisms. Efforts will be made to extend this to 10-12 key pathogens. The experience gained was very helpful in laying the foundations for extracting the true fingerprint of a specific pathogen irrespective of the background substrate. This is very crucial especially when experimenting with solid samples as well as complex food matrices. Spectroscopic techniques, especially FTIR and Raman methods are being pursued by agencies such as DARPA and Department of Defense to combat homeland security. Through the BARD US-3296-02 feasibility grant, the foundations for detection, sample handling, and the needed algorithms and models were developed. Successive efforts will be made in transferring the methodology to fruit surfaces and to other complex food matrices which can be accomplished with creative sampling methods and experimentation. Even a marginal success in this direction will result in a very significant breakthrough because FTIR and Raman methods, in spite of their limitations are still one of most rapid and nondestructive methods available. Continued interest and efforts in improving the components as well as the refinement of the procedures is bound to result in a significant breakthrough in sensor technology for food safety and biosecurity.
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