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Relevant bibliographies by topics / Cortex in visual stimulus

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Academic literature on the topic 'Cortex in visual stimulus'

Author: Grafiati

Published: 4 June 2021

Last updated: 15 February 2022

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Journal articles on the topic "Cortex in visual stimulus"

1

Földiák, Peter. "Stimulus optimisation in primary visual cortex." Neurocomputing 38-40 (June 2001): 1217–22. http://dx.doi.org/10.1016/s0925-2312(01)00570-7.

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Carandini, M., H. B. Barlow, A. B. Poirson, L. P. O'Keefe, and J. A. Movshon. "Adaptation to Contingencies in Macaque Primary Visual Cortex." Perception 26, no. 1_suppl (1997): 106. http://dx.doi.org/10.1068/v970207.

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We tested the hypothesis that neurons in the primary visual cortex adapt selectively to contingencies in the attributes of visual stimuli. We recorded from single neurons in macaque V1 and measured the effects of adaptation either to the sum of two gratings (compound stimulus) or to the individual gratings. According to our hypothesis, there would be a component of adaptation that is specific to the compound stimulus. We performed two sets of experiments. In the first set one grating had optimal orientation and the other was orthogonal to it. In the second set the gratings were parallel, diffe

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Carandini, Matteo, Horace B. Barlow, Lawrence P. O'keefe, Allen B. Poirson, and J. Anthony Movshon. "Adaptation to contingencies in macaque primary visual cortex." Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences 352, no. 1358 (1997): 1149–54. http://dx.doi.org/10.1098/rstb.1997.0098.

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We tested the hypothesis that neurons in the primary visual cortex adapt selectively to contingencies in the attributes of visual stimuli. We recorded from single neurons in macaque V1 and measured the effects of adaptation either to the sum of two gratings (compound stimulus) or to the individual gratings. According to our hypothesis, there would be a component of adaptation that is specific to the compound stimulus. In a first series of experiments, the two gratings differed in orientation. One grating had optimal orientation and the other was orthogonal to it, and therefore did not activate

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Qin, Wen, and Chunshui Yu. "Neural Pathways Conveying Novisual Information to the Visual Cortex." Neural Plasticity 2013 (2013): 1–14. http://dx.doi.org/10.1155/2013/864920.

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The visual cortex has been traditionally considered as a stimulus-driven, unimodal system with a hierarchical organization. However, recent animal and human studies have shown that the visual cortex responds to non-visual stimuli, especially in individuals with visual deprivation congenitally, indicating the supramodal nature of the functional representation in the visual cortex. To understand the neural substrates of the cross-modal processing of the non-visual signals in the visual cortex, we firstly showed the supramodal nature of the visual cortex. We then reviewed how the nonvisual signal

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Kok, Peter, Michel F. Failing, and Floris P. de Lange. "Prior Expectations Evoke Stimulus Templates in the Primary Visual Cortex." Journal of Cognitive Neuroscience 26, no. 7 (2014): 1546–54. http://dx.doi.org/10.1162/jocn_a_00562.

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Sensory processing is strongly influenced by prior expectations. Valid expectations have been shown to lead to improvements in perception as well as in the quality of sensory representations in primary visual cortex. However, very little is known about the neural correlates of the expectations themselves. Previous studies have demonstrated increased activity in sensory cortex following the omission of an expected stimulus, yet it is unclear whether this increased activity constitutes a general surprise signal or rather has representational content. One intriguing possibility is that top–down e

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van Es, Daniel, and Tomas Knapen. "Attention Improves Stimulus Encoding in Early Visual Cortex." Journal of Vision 16, no. 12 (2016): 1306. http://dx.doi.org/10.1167/16.12.1306.

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Hermes, Dora, Kai J. Miller, Brian A. Wandell, and Jonathan Winawer. "Gamma oscillations in visual cortex: the stimulus matters." Trends in Cognitive Sciences 19, no. 2 (2015): 57–58. http://dx.doi.org/10.1016/j.tics.2014.12.009.

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Mante, Valerio, and Matteo Carandini. "Mapping of Stimulus Energy in Primary Visual Cortex." Journal of Neurophysiology 94, no. 1 (2005): 788–98. http://dx.doi.org/10.1152/jn.01094.2004.

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A recent optical imaging study of primary visual cortex (V1) by Basole, White, and Fitzpatrick demonstrated that maps of preferred orientation depend on the choice of stimuli used to measure them. These authors measured population responses expressed as a function of the optimal orientation of long drifting bars. They then varied bar length, direction, and speed and found that stimuli of a same orientation can elicit different population responses and stimuli with different orientation can elicit similar population responses. We asked whether these results can be explained from known propertie

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K. Aguirre, Geoffrey. "Variation in Temporal Stimulus Integration Across Visual Cortex." Journal of Vision 18, no. 10 (2018): 1371. http://dx.doi.org/10.1167/18.10.1371.

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Alink, A., C. M. Schwiedrzik, A. Kohler, W. Singer, and L. Muckli. "Stimulus Predictability Reduces Responses in Primary Visual Cortex." Journal of Neuroscience 30, no. 8 (2010): 2960–66. http://dx.doi.org/10.1523/jneurosci.3730-10.2010.

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Dissertations / Theses on the topic "Cortex in visual stimulus"

1

Husain, M. "On hemispheric specialisation and visual direction sensing." Thesis, University of Oxford, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.382681.

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Baker, Pamela Mary. "The contribution of cortical microcircuitry to stimulus masking effects in cat primary visual cortex /." Zürich : ETH, 2008. http://e-collection.ethbib.ethz.ch/show?type=diss&nr=17615.

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Lin, Yan. "Investigating stimulus induced metabolic changes in human visual cortex using functional magnetic resonance spectroscopy at 7T." Thesis, University of Nottingham, 2011. http://eprints.nottingham.ac.uk/14589/.

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This thesis concerns the investigation of metabolic changes in 1H metabolite levels in the human visual cortex due to visual stimulation using proton magnetic resonance spectroscopy (1H-MRS) at 7T. The work described in this thesis has been undertaken by the author and collaborators at the Sir Peter Mansfield Magnetic Resonance Centre at the University of Nottingham. Detection of functional changes in 1H metabolites may enable a greater understanding of neurotransmitter activity and metabolic pathways used for energy synthesis during activation of brain tissue. Previous 1H MRS studies of the a

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Pietravalle, Nadia. "How well does a linear model predict the responses of primary visual cortex neurons to a natural scene stimulus?" Thesis, University of British Columbia, 2010. http://hdl.handle.net/2429/30518.

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The goal was to test how well a linear model of the responses of neurons in area 18 of cat visual cortex, derived from recordings made in anaesthetized adult cats, predicts responses to natural scene stimuli. Methods: Estimates of the spatio-temporal receptive field profile of the neurons were obtained by reverse correlation to an m-sequence stimulus (Reid et al., 1997). The receptive field estimate, together with a non-linear response function, was then used to give the expected probability, or rate, of spike firing (Chichilnisky, 2001; Ringach & Malone, 2007) during a time-varying natural

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Keemink, Sander Wessel. "Coding of multivariate stimuli and contextual interactions in the visual cortex." Thesis, University of Edinburgh, 2018. http://hdl.handle.net/1842/28969.

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The primary visual cortex (V1) has long been considered the main low level visual analysis area of the brain. The classical view is of a feedfoward system functioning as an edge detector, in which each cell has a receptive field (RF) and a preferred orientation. Whilst intuitive, this view is not the whole story. Although stimuli outside a neuron’s RF do not result in an increased response by themselves, they do modulate a neuron’s response to what’s inside its RF. We will refer to such extra-RF effects as contextual modulation. Contextual modulation is thought to underlie several perceptual p

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Giacherio, Brenna. "Evaluation of Functional Near Infrared Spectroscopy (fNIRS) for Assessment of the Visual and Motor Cortices in Adults." Wright State University / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=wright1401816241.

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Tigwell, D. A. "Directional and orientational tuning in the striate cortex of the cat for contrast and textured stimuli." Thesis, Keele University, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.237754.

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Shaw, Lynda Joan. "Emotional processing of natural visual images in brief exposures and compound stimuli : fMRI and behavioural studies." Thesis, Brunel University, 2009. http://bura.brunel.ac.uk/handle/2438/3203.

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Can the brain register the emotional valence of brief exposures of complex natural stimuli under conditions of forward and backward masking, and under conditions of attentional competition between foveal and peripheral stimuli? To address this question, three experiments were conducted. The first, a behavioural experiment, measured subjective valence of response (pleasant vs unpleasant) to test the perception of the valence of natural images in brief, masked exposures in a forward and backward masking paradigm. Images were chosen from the International Affective Picture System (IAPS) series. A

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Kara, Prakash. "Processing of transient stimuli by the visual system of the rat." Master's thesis, University of Cape Town, 1993. http://hdl.handle.net/11427/26626.

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While three decades of intensive cortical electrophysiology using a variety of sustained visual stimuli has made a significant contribution to many aspects of visual function, it has not supported the existence of intracortical circuit operations in cortical processing. This study investigated cortical processing by a comparison of the response of primary visual cortical neurones to transient electrical and strobe-flash stimulation. Experiments were performed on 74 anaesthetised Long Evans rats. Standard stereotaxic and extracellular electrophysiological techniques were employed. Continuous (o

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Killian, Nathaniel J. "Bioelectrical dynamics of the entorhinal cortex." Diss., Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/52148.

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The entorhinal cortex (EC) in the medial temporal lobe plays a critical role in memory formation and is implicated in several neurological diseases including temporal lobe epilepsy and Alzheimer’s disease. Despite the known importance of this brain region, little is known about the normal bioelectrical activity patterns of the EC in awake, behaving primates. In order to develop effective therapies for diseases affecting the EC, we must first understand its normal properties. To contribute to our understanding of the EC, I monitored the activity of individual neurons and populations of neurons

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Books on the topic "Cortex in visual stimulus"

1

1929-, Peters Alan, ed. The cat primary visual cortex. Academic Press, 2002.

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Peters, Alan, and Kathleen S. Rockland, eds. Primary Visual Cortex in Primates. Springer US, 1994. http://dx.doi.org/10.1007/978-1-4757-9628-5.

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Harris, Jessica M. Visual cortex: Anatomy, functions, and injuries. Nova Science Publishers, 2011.

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4

Suner, Ivan Jose. Influences of the lateral geniculate nucleus in the specification of primary visual cortex in macaca mulatta. s.n.], 1992.

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A vision of the brain. Blackwell Scientific Publications, 1993.

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6

Bedford, James Lewis. Neuro-electromagnetic imaging of the human visual cortex. Aston University. Department of Vision Sciences, 1995.

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A, Goodale Melvyn, ed. The visual brain in action. Oxford University Press, 1995.

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Tovée, Martin J. The speed of thought: Information processing in the cerebral cortex. Springer, 1998.

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9

Andrei, Gorea, ed. Representations of vision: Trends and tacit assumptions in vision research. Cambridge University Press, 1991.

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10

Popp, Michael M. Spontanaktivität, Latenzen und Assemblies: Latenzmessungen als Beitrag zur Analyse der Verarbeitung im primären visuellen Cortex. S. Roderer, 1988.

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Book chapters on the topic "Cortex in visual stimulus"

1

Krüger, J., and J. D. Becker. "Is Spike Frequency the Critical Factor in Recognising the Visual Stimulus?" In Information Processing in the Cortex. Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/978-3-642-49967-8_8.

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Ulinski, Philip S. "Neural Mechanisms Underlying the Analysis of Moving Visual Stimuli." In Cerebral Cortex. Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-4903-1_6.

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Jancke, Dirk, Fréderic Chavane, and Amiram Grinvald. "Stimulus Localization by Neuronal Populations in Early Visual Cortex: Linking Functional Architecture to Perception." In Dynamics of Visual Motion Processing. Springer US, 2009. http://dx.doi.org/10.1007/978-1-4419-0781-3_5.

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Eckhorn, R., and H. J. Reitboeck. "Stimulus-Specific Synchronization in Cat Visual Cortex and Its Possible Role in Visual Pattern Recognition." In Springer Series in Synergetics. Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/978-3-642-48779-8_6.

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Eckhorn, Reinhard. "Stimulus-Specific Synchronizations in the Visual Cortex: Linking of Local Features Into Global Figures?" In Neuronal Cooperativity. Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-84301-3_9.

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Eckhorn, Reinhard, Thomas Schanze, Michael Brosch, Wageda Salem, and Roman Bauer. "Stimulus-Specific Synchronizations in Cat Visual Cortex: Multiple Microelectrode and Correlation Studies from Several Cortical Areas." In Induced Rhythms in the Brain. Birkhäuser Boston, 1992. http://dx.doi.org/10.1007/978-1-4757-1281-0_3.

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Strisciuglio, Nicola, and Nicolai Petkov. "Brain-Inspired Algorithms for Processing of Visual Data." In Lecture Notes in Computer Science. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-82427-3_8.

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AbstractThe study of the visual system of the brain has attracted the attention and interest of many neuro-scientists, that derived computational models of some types of neuron that compose it. These findings inspired researchers in image processing and computer vision to deploy such models to solve problems of visual data processing.In this paper, we review approaches for image processing and computer vision, the design of which is based on neuro-scientific findings about the functions of some neurons in the visual cortex. Furthermore, we analyze the connection between the hierarchical organization of the visual system of the brain and the structure of Convolutional Networks (ConvNets). We pay particular attention to the mechanisms of inhibition of the responses of some neurons, which provide the visual system with improved stability to changing input stimuli, and discuss their implementation in image processing operators and in ConvNets.

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Fillbrandt, Antje, and Frank W. Ohl. "Modulations of Single-Trial Interactions between the Auditory and the Visual Cortex during Prolonged Exposure to Audiovisual Stimuli with Fixed Stimulus Onset Asynchrony." In Detection and Identification of Rare Audiovisual Cues. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-24034-8_13.

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van Dijk, Bob W., Peter C. M. Vijn, and Henk Spekreijse. "Low Temporal Frequency Desynchronization and High Temporal Frequency Synchronization Accompany Processing of Visual Stimuli in Anaesthetized Cat Visual Cortex." In Oscillatory Event-Related Brain Dynamics. Springer US, 1994. http://dx.doi.org/10.1007/978-1-4899-1307-4_14.

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Tani, Toshiki, Isao Yokoi, Minami Ito, Shigeru Tanaka, and Hidehiko Komatsu. "Neural Responses to the Uniform Surface Stimuli in the Visual Cortex of the Cat." In The Neural Basis of Early Vision. Springer Japan, 2003. http://dx.doi.org/10.1007/978-4-431-68447-3_79.

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Conference papers on the topic "Cortex in visual stimulus"

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Roth, Zvi, David Heeger, and Elisha Merriam. "Orientation selectivity and stimulus vignetting in human visual cortex." In 2018 Conference on Cognitive Computational Neuroscience. Cognitive Computational Neuroscience, 2018. http://dx.doi.org/10.32470/ccn.2018.1245-0.

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Garasto, Stef, Wilten Nicola, Anil A. Bharath, and Simon R. Schultz. "Neural Sampling Strategies for Visual Stimulus Reconstruction from Two-photon Imaging of Mouse Primary Visual Cortex." In 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER). IEEE, 2019. http://dx.doi.org/10.1109/ner.2019.8716934.

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Albrecht, Duane G., and Wilson S. Geisler. "Visual cortex neurons in monkey and cat: contrast response nonlinearities and stimulus selectivity." In Computational Vision Based on Neurobiology, edited by Teri B. Lawton. SPIE, 1994. http://dx.doi.org/10.1117/12.171147.

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Tripp, Bryan P. "Similarities and differences between stimulus tuning in the inferotemporal visual cortex and convolutional networks." In 2017 International Joint Conference on Neural Networks (IJCNN). IEEE, 2017. http://dx.doi.org/10.1109/ijcnn.2017.7966303.

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Tolkiehn, Marie, and Simon R. Schultz. "Multi-Unit Activity contains information about spatial stimulus structure in mouse primary visual cortex." In 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2015. http://dx.doi.org/10.1109/embc.2015.7319214.

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Han, XingLiang, Jun Xie, AiLing Luo, et al. "Comparison of Visual Cortex Functional Connectivity Patterns Based on Steady-state Monochromatic Flicker and Oscillating Checkerboard Visual Stimulus." In 2018 15th International Conference on Ubiquitous Robots (UR). IEEE, 2018. http://dx.doi.org/10.1109/urai.2018.8441841.

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Goto, Yoshinobu, Takao Yamasaki, and Shozo Tobimatsu. "Innovation for visual stimuli: From the retina to primary visual cortex." In 2010 IEEE/ICME International Conference on Complex Medical Engineering - CME 2010. IEEE, 2010. http://dx.doi.org/10.1109/iccme.2010.5558856.

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Eckhorn, Reitboeck, Arndt, and Dicke. "Feature linking via stimulus-evoked oscillations: experimental results from cat visual cortex and functional implications from a network model." In International Joint Conference on Neural Networks. IEEE, 1989. http://dx.doi.org/10.1109/ijcnn.1989.118659.

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Chizhov, Anton. "PREFERENCE OF HORIZONTAL ORIENTATION OF A MOVING NON-ORIENTED STIMULUS BY VISUAL CORTEX NEURONS PREFERRING HORIZONTAL ORIENTATION OF GRATINGS: MATHEMATICAL MODELING." In XVII INTERNATIONAL INTERDISCIPLINARY CONGRESS NEUROSCIENCE FOR MEDICINE AND PSYCHOLOGY. LCC MAKS Press, 2021. http://dx.doi.org/10.29003/m2403.sudak.ns2021-17/424-425.

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Sharpee, Tatyana, Hiroki Sugihara, A. V. Kurgansky, S. Rebrik, M. P. Stryker, and Kenneth D. Miller. "Probing feature selectivity of neurons in primary visual cortex with natural stimuli." In Second International Symposium on Fluctuations and Noise, edited by Derek Abbott, Sergey M. Bezrukov, Andras Der, and Angel Sanchez. SPIE, 2004. http://dx.doi.org/10.1117/12.548513.

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Reports on the topic "Cortex in visual stimulus"

1

Intrator, Nathan, Mark F. Bear, Leon N. Cooper, and Michael A. Paradiso. Theory of Synaptic Plasticity in Visual Cortex. Defense Technical Information Center, 1992. http://dx.doi.org/10.21236/ada260052.

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Intrator, Nathan, Mark F. Bear, Leon N. Cooper, and Michael A. Paradiso. Theory of Synaptic Plasticity in Visual Cortex. Defense Technical Information Center, 1993. http://dx.doi.org/10.21236/ada260322.

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Serre, Thomas, Lior Wolf, and Tomaso Poggio. Object Recognition with Features Inspired by Visual Cortex. Defense Technical Information Center, 2006. http://dx.doi.org/10.21236/ada454604.

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Sajda, Paul, and Leif H. Finkel. Computer Simulations of Object Discrimination by Visual Cortex,. Defense Technical Information Center, 1992. http://dx.doi.org/10.21236/ada253345.

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Klein, David J., Jonathan Z. Simon, Didier A. Depireux, and Shihab A. Shamma. Linear Stimulus-Invariant Processing and Spectrotemporal Reverse Correlation in Primary Auditory Cortex. Defense Technical Information Center, 2003. http://dx.doi.org/10.21236/ada438561.

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Neve, Rachael L., and Mark F. Bear. Visual Experience Regulates Gene Expression in the Developing Striate Cortex. Defense Technical Information Center, 1989. http://dx.doi.org/10.21236/ada216149.

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Poggio, Tomaso, and Stephen Smale. Hierarchical Kernel Machines: The Mathematics of Learning Inspired by Visual Cortex. Defense Technical Information Center, 2013. http://dx.doi.org/10.21236/ada580529.

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Cooper, Leon N. Synaptic Plasticity in Visual Cortex. From Synaptic Properties to Membranes and Receptors. Defense Technical Information Center, 1995. http://dx.doi.org/10.21236/ada304169.

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Artun, Omer B., Harel Z. Shouval, and Leon N. Cooper. The Effect of Dynamic Synapses on Spatio-temporal Receptive Fields in Visual Cortex. Defense Technical Information Center, 1997. http://dx.doi.org/10.21236/ada333497.

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Sajda, Paul, and Leif H. Finkel. A Neural Network Model of Object Segmentation and Feature Binding in Visual Cortex. Defense Technical Information Center, 1990. http://dx.doi.org/10.21236/ada248100.

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