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Статті в журналах з теми "Discrimination neuronale"
Deng, Yingchun, Peter Williams, Feng Liu, and Jianfeng Feng. "Neuronal discrimination capacity." Journal of Physics A: Mathematical and General 36, no. 50 (December 1, 2003): 12379–98. http://dx.doi.org/10.1088/0305-4470/36/50/003.
Повний текст джерелаSmith, Jackson E. T., and Andrew J. Parker. "Correlated structure of neuronal firing in macaque visual cortex limits information for binocular depth discrimination." Journal of Neurophysiology 126, no. 1 (July 1, 2021): 275–303. http://dx.doi.org/10.1152/jn.00667.2020.
Повний текст джерелаSpitzer, H., R. Desimone, and J. Moran. "Increased attention enhances both behavioral and neuronal performance." Science 240, no. 4850 (April 15, 1988): 338–40. http://dx.doi.org/10.1126/science.3353728.
Повний текст джерелаMERIGAN, WILLIAM H. "Cortical area V4 is critical for certain texture discriminations, but this effect is not dependent on attention." Visual Neuroscience 17, no. 6 (November 2000): 949–58. http://dx.doi.org/10.1017/s095252380017614x.
Повний текст джерелаBoynton, Geoffrey M., Jonathan B. Demb, Gary H. Glover, and David J. Heeger. "Neuronal basis of contrast discrimination." Vision Research 39, no. 2 (January 1999): 257–69. http://dx.doi.org/10.1016/s0042-6989(98)00113-8.
Повний текст джерелаArabzadeh, Ehsan, Colin W. G. Clifford, Justin A. Harris, David A. Mahns, Vaughan G. Macefield, and Ingvars Birznieks. "Single tactile afferents outperform human subjects in a vibrotactile intensity discrimination task." Journal of Neurophysiology 112, no. 10 (November 15, 2014): 2382–87. http://dx.doi.org/10.1152/jn.00482.2014.
Повний текст джерелаSanders, Teresa H., Mark A. Clements, and Thomas Wichmann. "Parkinsonism-related features of neuronal discharge in primates." Journal of Neurophysiology 110, no. 3 (August 1, 2013): 720–31. http://dx.doi.org/10.1152/jn.00672.2012.
Повний текст джерелаSpencer, K., and P. Carpenter. "Neurone Specific Enolase in Amniotic Fluid: A Potential Marker of Anencephaly." Annals of Clinical Biochemistry: International Journal of Laboratory Medicine 25, no. 1 (January 1988): 85–88. http://dx.doi.org/10.1177/000456328802500112.
Повний текст джерелаHeuer, Hilary W., and Kenneth H. Britten. "Optic Flow Signals in Extrastriate Area MST: Comparison of Perceptual and Neuronal Sensitivity." Journal of Neurophysiology 91, no. 3 (March 2004): 1314–26. http://dx.doi.org/10.1152/jn.00637.2003.
Повний текст джерелаLi, Wu, Peter Thier, and Christian Wehrhahn. "Contextual Influence on Orientation Discrimination of Humans and Responses of Neurons in V1 of Alert Monkeys." Journal of Neurophysiology 83, no. 2 (February 1, 2000): 941–54. http://dx.doi.org/10.1152/jn.2000.83.2.941.
Повний текст джерелаДисертації з теми "Discrimination neuronale"
Ménardy, Fabien. "Reconnaissance des signaux de communication chez le diamant mandarin : étude des réponses des neurones d’une aire auditive secondaire." Thesis, Paris 11, 2012. http://www.theses.fr/2012PA11T049/document.
Повний текст джерелаHow sensory signals are encoded in the brain and whether their behavioural relevance affects their encoding are central questions in sensory neuroscience. Studies have consistently shown that behavioural relevance can change the neural representation of sounds in the auditory system, but what occurs in the context of natural acoustic communication where significance could be acquired through social interaction remains to be explored. The zebra finch, a highly social songbird species that forms lifelong pair bonds and uses a vocalization, the distance call, to identify its mate offers an opportunity to address this issue. One auditory area in the songbird telencephalon, the caudo-medial nidopallium (NCM) that is considered as being analogous to the secondary mammalian auditory cortex, has recently emerged as part of the neural substrate for sensory representation of species-specific vocalizations: the activation of NCM neurons is greatest when birds are exposed to conspecific song, as compared to heterospecific song or artificial stimuli. This led us to investigate whether, in the zebra finch, NCM neurons could contribute to the discrimination among vocalizations that differ in their degree of familiarity: calls produced by the mate, by familiar individuals (males or females), or by unfamiliar individuals (males or females). In females, behaviourally relevant calls, i.e. the mate’s call and familiar calls, evoked responses of greater magnitude than unfamiliar calls. This distinction between responses was seen both in multiunit recordings from awake freely moving mated females (using a telemetric system) and in single unit recordings from anesthetized mated females. In contrast, control females that had not heard them previously displayed response of similar magnitude to call stimuli. In addition, more cells showed highly selective responses in mated than in control females suggesting that experience-dependent plasticity in call-evoked responses resulted in enhanced discrimination of auditory stimuli. In males, as in females, call playback evoked robust auditory responses. However, neurons in males did not appear capable of categorizing the calls of individuals (males or females) as ‘‘familiar’’ or ‘‘unfamiliar’’. Then, we investigated how calls are represented in the NCM of zebra finches by assessing whether certain call-specific acoustic cues drove NCM neurons to a greater degree than others. Behavioural studies had previously identified call-specific acoustic cues that are necessary to elicit a vocal response from male and female zebra finches. Single-unit recordings indicated that NCM neurons in females were particularly sensitive to call modifications in the spectral domain: suppressing the fundamental frequency of call stimuli or modifying the relative energy levels of harmonics in call caused a marked decrease in response magnitude of NCM neurons. In males, NCM neurons also appear to be sensitive to call modifications in the spectral domain, however changes in magnitude of responses (increase or decrease) depended on the acoustic cue that had been modified.Our results provide evidence that the NCM is a telencephalic auditory region that contributes to the processing of the distance call, in females as well in males. However, how the distance call is processed and represented in the NCM appears to differ between males and females. In females, the NCM could be involved in dicrimination between call stimuli whereas, in males, its functional role in call-processing remains to be determined. Our results also suggest that, in females, social experience with the call of individuals, by affecting the degree to which neurons discriminated between these calls, may shape the functional properties of neurons in a telencephalic auditory area. The functional properties of auditory neurons may therefore change continuously to adapt to the social environment
Ortiz, Cantin. "Neuronal discrimination of visual environments differentially depends on behavioural context in the hippocampus and neocortex." Electronic Thesis or Diss., Sorbonne université, 2024. http://www.theses.fr/2024SORUS311.
Повний текст джерелаForming memories of the environment is essential for survival, whether it is for finding food, escaping predators or seeking shelter. To create spatial memories, one first needs to generate a mental representation of the surroundings, which is referred to as a cognitive map. Such maps are believed to emerge in the hippocampus, a brain region known to play a crucial role in the formation of new episodic memories, and more specifically in its output layer CA1. To efficiently use spatial memories, it is necessary to be able to ascertain whether a location has already been visited. This requires discriminating between potentially similar yet distinct sensory environments. It is thought that the dentate gyrus (DG), the entry layer of the hippocampus, plays a pivotal role in this ability. Indeed, it has been shown to perform neuronal pattern separation by creating decorrelated neuronal representations of its inputs, even when they share a high degree of similarity. Before reaching the hippocampus, sensory signals are initially processed in sensory cortices. Visual representations are formed in the primary visual cortex (V1), which is situated at the earliest stage of the neocortical hierarchy. V1 has traditionally been thought of as a brain region that represents low-level visual features, such as bars of a specific orientation or length. However, recent research has demonstrated that neuronal activity is already behaviourally modulated at this initial level of visual processing, with spatial representations emerging concurrently.Considering the growing evidence that the distinctions between these two regions are more complex than previously thought, we wondered how they may differentially contribute to sensory processing. We hypothesised that primary sensory cortices provide a faithful representation of the sensory environment to distributed brain regions, whereas the hippocampus produces a cognitive map that is weighted according to the behavioural relevance of the sensory inputs. To test this hypothesis, we aimed to determine how complex sensory stimuli differentially depend on the behavioural context in V1, CA1 and DG. We performed two-photon calcium imaging of head fixed mice navigating in a virtual-reality linear track. Mice were exposed to alternating environments by changing visual textures along the virtual corridor. During active navigation, movements in the virtual environment were controlled by the animal motion on a running wheel. By contrast, in a passive open-loop condition, the visual scene was completely uncoupled from animal locomotion.We found that environments could be discriminated based on the activity of single neurons in all regions during active navigation. However, while neurons in V1 maintained a high level of discrimination in the passive exposure condition, those in the hippocampus failed to discriminate between environments. A decoder trained to predict the visited corridor based on the activity of all neurons revealed that the discrimination at the population level was similarly affected by the behavioural context. Moreover, the results indicated that the degree of discrimination correlated with running speed in the hippocampus, but not in V1, which further supports the idea that neuronal activity is more dependent on the current behaviour in the hippocampus than in V1.We concluded that task engagement is therefore necessary for neuronal discrimination in the hippocampus, while it simply modulates it in V1, suggesting that primary sensory cortices serve as robust general-purpose discriminators of sensory inputs, while the hippocampus selectively discriminates behaviourally relevant inputs. Overall, these results reveal how information about the environment is differentially processed as it is transmitted to the hippocampus, with fundamental implications for our understanding of how the brain filters information as it is made available to the memory circuits in the hippocampus
Ménardy, Fabien. "Reconnaissance des signaux de communication chez le diamant mandarin : étude des réponses des neurones d'une aire auditive secondaire." Phd thesis, Université Paris Sud - Paris XI, 2012. http://tel.archives-ouvertes.fr/tel-00764923.
Повний текст джерелаAlzaher, Mariam. "Mismatch negativity, un marqueur neuronal de la plasticité spatiale auditive chez les sujets sourds unilatéraux." Thesis, Toulouse 3, 2020. http://www.theses.fr/2020TOU30253.
Повний текст джерелаThis thesis investigates different spatial hearing functions in 3 types of populations: Normal Hearing Subjects (NHS), Unilateral Hearing Loss patients (UHL) and Bilateral Hearing Loss patients ( BHL). To discover the mechanisms underlying the adaptive strategies that are observed in UHL with acquired deafness. The main aim of the thesis is to verify whether spatial Mismatch Negativity (MMN) could be a neuronal marker of spatial auditory plasticity observed in UHL patients, and to verify whether these neural correlates are consistent with the spatial auditory performance. Two types of investigations were applied to 20 NHS, 21 UHL and 14 BHL. The first investigation is a sound source identification task measured by the root mean square error (RMS). The second assessment is an electroencephalography (EEG) study where we analyzed the amplitude and latency of the MMN. MMN is defined as an auditory evoked potential that reflects the brain's ability to detect a change in one physical property of a sound. We used a standard sound in a reference position (50°) with three deviations from the standard (10° , 20°, and 100°), in binaural and monaural conditions. UHL patients were divided into 3 groups according to their spatial performances. The group of good performers (UHL {low rms}) showed better RMS scores in comparison with NHS with earplugs (NHS-mon), with performances similar to those of NHS subjects in binaural condition. A progressive increase of the MMN with the angle of deviation from the standard was noted in all groups. With a significant reduction of MMN amplitude in monaural NHS when the ear plug was applied on the ipsilateral side of the standard. MMN showed consistent variation with the behavioral observations, where UHL {low rms} patients had larger MMN amplitudes than those of monaural NHS and similar to those of binaural NHS. UHL patients have adaptive spatial auditory strategies. Our study was able to demonstrate that spatial auditory plasticity that occurs after deafness can be reflected by the MMN. Neural observations (i.e. the MMN) are correlated with behavioral observations of spatial source identification. This means that the spatial cortical plasticity, that took place in these subjects, is not limited to the functions of identification of the sound source, but exceeds these capacities towards more complex mechanisms such as deviance detection and short-term memory, that are involved in the spatial discrimination function
Pernot, Etienne. "Choix d'un classifieur en discrimination." Paris 9, 1994. https://portail.bu.dauphine.fr/fileviewer/index.php?doc=1994PA090014.
Повний текст джерелаMeisel, Joshua D. (Joshua Daniel). "The genetic, neuronal, and chemical basis for microbial discrimination in Caenorhabditis elegans." Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/104172.
Повний текст джерелаCataloged from PDF version of thesis.
Includes bibliographical references.
Discrimination among pathogenic and beneficial microbes is essential for host organism immunity and homeostasis. Increasingly, the nervous system of animals is being recognized as an important site of bacterial recognition, but the molecular mechanisms underlying this process remain unclear. Chapter One discusses how the nematode Caenorhabditis elegans can be used to dissect the genetic and neuronal mechanisms that coordinate behavioral responses to bacteria. In Chapter Two, we show that chemosensory detection of two secondary metabolites produced by Pseudomonas aeruginosa modulates a neuroendocrine signaling pathway that promotes C. elegans avoidance behavior. Specifically, secondary metabolites phenazine- I -carboxamide and pyochelin activate a G protein-signaling pathway in the ASJ chemosensory neuron pair that induces expression of the neuromodulator DAF-7/TGF-[beta]. DAF-7, in turn, activates a canonical TGF-P signaling pathway in adjacent interneurons to modulate aerotaxis behavior and promote avoidance of pathogenic P. aeruginosa. This chapter provides a chemical, genetic, and neuronal basis for how the behavior and physiology of a simple animal host can be modified by the microbial environment, and suggests that secondary metabolites produced by microbes may provide environmental cues that contribute to pathogen recognition and host survival. Genetic dissection of neuronal responses to bacteria in C. elegans can also lend insights into neurobiology more generally. In Chapter Three we show that loss of the lithium-sensitive phosphatase bisphosphate 3'-nucleotidase (BPNT-1) results in the selective dysfunction of the ASJ chemosensory neurons. As a result, BPNT- 1 mutants are defective in behaviors dependent on the ASJ neurons, such as pathogen avoidance and dauer exit. Acute treatment with lithium also causes reversible dysfunction of the ASJ neurons, and we show that this effect is mediated specifically through inhibition of BPNT-1. Finally, we show that lithium's selective effect on the nervous system is due in part to the limited expression of the cytosolic sulfotransferase SSU-1 in the ASJ neuron pair. Our data suggest that lithium, through inhibition of BPNT- 1 in the nervous system, can cause selective toxicity to specific neurons, resulting in corresponding effects on behavior of C. elegans. In Chapter Four I discuss the future directions for the genetic dissection of pathogen recognition in C. elegans.
by Joshua D. Meisel.
Ph. D.
Ahn, Sungwoo. "Transient and Attractor Dynamics in Models for Odor Discrimination." The Ohio State University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=osu1280342970.
Повний текст джерелаZhu, Wenhua. "Modèles statistiques et réseaux de neurones : stratégie et validation dans le cas de la discrimination." Paris 9, 1995. https://portail.bu.dauphine.fr/fileviewer/index.php?doc=1995PA090022.
Повний текст джерелаThis thesis has accost two domains : data analysis and neural networks. It present the mains methods of discriminant analysis and treats the importants points in this field : learning procedures, construction and validation of decision rule, model selection, the relation with neural networks. This thesis propose some strategy of improving their generalization abilities and for reduce their complexity so that the neural networks can be applied to large more and realistic tasks
Dahlquist, Clara. "Somatosensory system; touch : Physiology and Neuronal Correlates of Discriminative and Affective Touch." Thesis, Högskolan i Skövde, Institutionen för biovetenskap, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-9718.
Повний текст джерелаDerosiere, Gérard. "Vers la discrimination des corrélats neuronaux des déficits d'attention : des Neurosciences Cognitives à l'Ingénierie Cognitive." Thesis, Montpellier 1, 2014. http://www.theses.fr/2014MON1T008/document.
Повний текст джерелаFocused attention represents a high-level cognitive function enabling humans to selectively facilitate specific actions and perceptions. In a world full of choices of action, and of perceptual possibilities, focused attention appears to be a vital component of human cognition. One observation however, is worth making: human-beings are unable to maintain stable states of focused attention indefinitely. This inability manifests during sustained attention tasks with the progressive occurrence of sensory-motor deficiencies with time-on-task. The phenomenon - called attention decrement - is characterized by increases in motor impulsivity and in response times to imperative events, and by a reduction in perceptual sensitivity. So far, the neural underpinnings of attention decrement have not been fully elucidated and this lack of knowledge is clearly palpable within two disciplinary fields : Cognitive Neuroscience and Cognitive Engineering. In Cognitive Neuroscience, the associated question is why are human-beings unable to maintain an optimal sensory-motor performance during sustained attention tasks? In Cognitive Engineering, the lack of a complete scientific understanding of attentional issues impacts the development of efficient passive Brain-Computer interfaces (BCI), capable of detecting the occurrence of potentially dangerous attention decrements during the performance of everyday activities. Both issues have been addressed in this thesis. In terms of Cognitive Neuroscience, I demonstrate that sustaining focused attention on a visual stimulation rapidly leads to an inhibition of the visual cortices. This sensory inhibition can be causally related to the lack of changes in perceptual stimulation typically characterizing sustained attention tasks. While the mechanism may be beneficial during visual search tasks as it helps humans avoid processing the same stimulus, the same object, the same location several times, it can lead to the occurrence of sensory deficiencies when sustained attention is required. As such, the sensory inhibition provides a compelling explanation as to the decrease in perceptual sensitivity and to the increase in reaction time that typify attention decrement. I show in a second study that attention decrement is associated with an increase in the activity of motor- and attention-related neural structures (i.e., cortico-spinal tract, primary motor, prefrontal and right parietal cortices). This excessive engagement reflects a compensatory process occurring in response to the sensory disengagement already highlighted and to the related degradation of the quality of perceptual representations. It is notable that the excessive engagement of the motor neural structures with time-on-task provides a potential explanation for the increase in motor impulsivity typifying attention decrement. In terms of application of these new findings, I investigated the potential of exploiting these neural correlates of attention decrement to discriminate between two different attentional states (i.e., with or without attention decrement) through a passive BCI system. To do so, we applied supervised classification analyses on near-infrared spectroscopy signals reflecting the hemodynamic activity of prefrontal and parietal cortices as recorded during a sustained attention task. We achieved relatively promising classification performance results which bode well for the future development of passive BCI. When considered together, the results described in this thesis contribute towards a better understanding of the neural correlates of attention decrement and demonstrate how this novel knowledge can be exploited for the future development of systems which may enable a reduction in accidents and human error-driven incidents in real world environments
Книги з теми "Discrimination neuronale"
Clark, Kelsey L., Behrad Noudoost, Robert J. Schafer, and Tirin Moore. Neuronal Mechanisms of Attentional Control. Edited by Anna C. (Kia) Nobre and Sabine Kastner. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199675111.013.010.
Повний текст джерелаЧастини книг з теми "Discrimination neuronale"
Steinmetz, Michael A., Ranulfo Romo, and Vernon D. Mountcastle. "Cortical Neuronal Mechanisms for Frequency Discrimination in the Somesthetic Sense of Flutter." In Information Processing in the Somatosensory System, 289–303. London: Macmillan Education UK, 1991. http://dx.doi.org/10.1007/978-1-349-11597-6_21.
Повний текст джерелаFeng, Albert S., and Theodore H. Bullock. "Neuronal Mechanisms for Object Discrimination in the Weakly Electric Fish Eigenmannia Virescens." In How do Brains Work?, 233–50. Boston, MA: Birkhäuser Boston, 1993. http://dx.doi.org/10.1007/978-1-4684-9427-3_25.
Повний текст джерелаPerez-Uribe, Andres, and Héctor F. Satizábal. "Artificial Neural Networks and Data Compression Statistics for the Discrimination of Cultured Neuronal Activity." In Artificial Neural Networks and Machine Learning – ICANN 2012, 201–8. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33269-2_26.
Повний текст джерелаTHUNBERG, J., F. HELLSTRÖM, M. BERGENHEIM, J. PEDERSEN, and H. JOHANSSON. "NEURONAL CODING AND MOVEMENT DISCRIMINATION IN PROPRIOCEPTION." In Neuronal Coding Of Perceptual Systems, 263–67. WORLD SCIENTIFIC, 2001. http://dx.doi.org/10.1142/9789812811899_0021.
Повний текст джерелаN.S. Sampaio, Pedro, and Carla Brites. "Near-Infrared Spectroscopy and Machine Learning: Analysis and Classification Methods of Rice." In Rice [Working Title]. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.99017.
Повний текст джерелаMarrow, Jocelyn, and T. M. Luhrmann. "Conclusion." In Our Most Troubling Madness. University of California Press, 2016. http://dx.doi.org/10.1525/california/9780520291089.003.0014.
Повний текст джерелаFagan, Anne M. "Fluid Biomarkers for Alzheimer’s Disease." In Neurobiology of Mental Illness, edited by David M. Holtzman, 834–43. Oxford University Press, 2013. http://dx.doi.org/10.1093/med/9780199934959.003.0063.
Повний текст джерелаGuzmán-Ramírez, Enrique, Ayax García, Esteban Guerrero-Ramírez, Antonio Orantes Molina, Oscar Ramírez, and Ignacio Arroyo. "Multi-object Recognition Using a Feature Descriptor and Neural Classifier." In Vision Sensors - Recent Advances [Working Title]. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.106754.
Повний текст джерелаFunder, John W. "Hormones and receptors: fundamental considerations." In Oxford Textbook of Endocrinology and Diabetes, 24–28. Oxford University Press, 2011. http://dx.doi.org/10.1093/med/9780199235292.003.1022.
Повний текст джерелаТези доповідей конференцій з теми "Discrimination neuronale"
Samavat, Mohammad, Dori Luli, and Sharon Crook. "Neuronal network models for sensory discrimination." In 2016 50th Asilomar Conference on Signals, Systems and Computers. IEEE, 2016. http://dx.doi.org/10.1109/acssc.2016.7869533.
Повний текст джерелаGoh, Aik, Stefan Craciun, Sudhir Rao, David Cheney, Karl Gugel, Justin C. Sanchez, and Jose C. Principe. "Wireless transmission of neuronal recordings using a portable real-time discrimination/compression algorithm." In 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2008. http://dx.doi.org/10.1109/iembs.2008.4650196.
Повний текст джерелаMetcalfe, Benjamin, Daniel Chew, Chris Clarke, Nick Donaldson, and John Taylor. "An enhancement to velocity selective discrimination of neural recordings: Extraction of neuronal firing rates." In 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2014. http://dx.doi.org/10.1109/embc.2014.6944528.
Повний текст джерелаMuresan, Denisa Bianca, Raluca-Dana Ciure, Eugen Richard Ardelean, Vasile Vlad Moca, Raul Cristian Muresan, and Mihaela Dins. "Spike sorting using Superlets: Evaluation of a novel feature space for the discrimination of neuronal spikes." In 2022 IEEE 18th International Conference on Intelligent Computer Communication and Processing (ICCP). IEEE, 2022. http://dx.doi.org/10.1109/iccp56966.2022.10053955.
Повний текст джерелаCastro-Silupu, Wilson, Monica Saavedra-Garcia, Himer Avila-George, Miguel De la Torre-Gomora, and Adriano Bruno-Tech. "Probabilistic or Convolutional-LSTM neuronal networks: a comparative study of discrimination capacity on frozen - thawed fish fillets." In 2022 11th International Conference On Software Process Improvement (CIMPS). IEEE, 2022. http://dx.doi.org/10.1109/cimps57786.2022.10035684.
Повний текст джерела