Statistics of visual responses in primate inferotemporal cortex to object stimuli.
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Keiji Tanaka | Roozbeh Kiani | Hossein Esteky | Sidney R Lehky | S. R. Lehky | Keiji Tanaka | R. Kiani | H. Esteky | Roozbeh Kiani
[1] C. Gross. Single neuron studies of inferior temporal cortex , 2008, Neuropsychologia.
[2] A. Holden. A note on convolution and stable distributions in the nervous system , 1975, Biological cybernetics.
[3] Peter Földiák,et al. SPARSE CODING IN THE PRIMATE CORTEX , 2002 .
[4] Terence D Sanger,et al. Neural population codes , 2003, Current Opinion in Neurobiology.
[5] C. Baker,et al. The neural basis of visual object learning , 2010, Trends in Cognitive Sciences.
[6] L. Abbott,et al. Responses of neurons in primary and inferior temporal visual cortices to natural scenes , 1997, Proceedings of the Royal Society of London. Series B: Biological Sciences.
[7] Yasushi Miyashita,et al. Forward Processing of Long-Term Associative Memory in Monkey Inferotemporal Cortex , 2003, The Journal of Neuroscience.
[8] J. L. Nolan. Stable Distributions. Models for Heavy Tailed Data , 2001 .
[9] David J. Field,et al. Sparse coding with an overcomplete basis set: A strategy employed by V1? , 1997, Vision Research.
[10] Xin Huang,et al. Noise correlations in cortical area MT and their potential impact on trial-by-trial variation in the direction and speed of smooth-pursuit eye movements. , 2009, Journal of neurophysiology.
[11] W. J. Daunicht,et al. An on-line spike form discriminator for extracellular recordings based on an analog correlation technique , 1986, Journal of Neuroscience Methods.
[12] T. Poggio,et al. Object Selectivity of Local Field Potentials and Spikes in the Macaque Inferior Temporal Cortex , 2006, Neuron.
[13] E. Rolls,et al. View-invariant representations of familiar objects by neurons in the inferior temporal visual cortex. , 1998, Cerebral cortex.
[14] H. Tamura,et al. Visual response properties of cells in the ventral and dorsal parts of the macaque inferotemporal cortex. , 2001, Cerebral cortex.
[15] Aapo Hyvärinen,et al. Natural Image Statistics - A Probabilistic Approach to Early Computational Vision , 2009, Computational Imaging and Vision.
[16] Edmund T. Rolls,et al. Functions of the Primate Temporal Lobe Cortical Visual Areas in Invariant Visual Object and Face Recognition , 2000, Neuron.
[17] S L Moody,et al. A Model That Accounts for Activity in Primate Frontal Cortex during a Delayed Matching-to-Sample Task , 1998, The Journal of Neuroscience.
[18] Sidney R. Lehky,et al. Frontiers in Computational Neuroscience Computational Neuroscience , 2022 .
[19] G. Glover,et al. Enhancement of Object Representations in Primate Perirhinal Cortex During a Visual Working-Memory Task , 2007 .
[20] Edmund T. Rolls,et al. Neuronal selectivity, population sparseness, and ergodicity in the inferior temporal visual cortex , 2007, Biological Cybernetics.
[21] M. Pickering,et al. Eye guidance in reading and scene perception , 1998 .
[22] Tomaso Poggio,et al. Trade-Off between Object Selectivity and Tolerance in Monkey Inferotemporal Cortex , 2007, The Journal of Neuroscience.
[23] P. Fldik,et al. The Speed of Sight , 2001, Journal of Cognitive Neuroscience.
[24] R. Vogels,et al. Spatial sensitivity of macaque inferior temporal neurons , 2000, The Journal of comparative neurology.
[25] Eero P. Simoncelli,et al. Natural image statistics and neural representation. , 2001, Annual review of neuroscience.
[26] Rosario N. Mantegna,et al. Book Review: An Introduction to Econophysics, Correlations, and Complexity in Finance, N. Rosario, H. Mantegna, and H. E. Stanley, Cambridge University Press, Cambridge, 2000. , 2000 .
[27] Keiji Tanaka,et al. Object category structure in response patterns of neuronal population in monkey inferior temporal cortex. , 2007, Journal of neurophysiology.
[28] Ioannis A. Koutrouvelis,et al. Regression-Type Estimation of the Parameters of Stable Laws , 1980 .
[29] J. Pickands. Statistical Inference Using Extreme Order Statistics , 1975 .
[30] R. Adler,et al. A practical guide to heavy tails: statistical techniques and applications , 1998 .
[31] Terrence J. Sejnowski,et al. The “independent components” of natural scenes are edge filters , 1997, Vision Research.
[32] I. Biederman. Recognition-by-components: a theory of human image understanding. , 1987, Psychological review.
[33] David J. Field,et al. What Is the Goal of Sensory Coding? , 1994, Neural Computation.
[34] Mohammad Ali Baradaran Ghahfarokhi,et al. Applications of Stable Distributions in Time Series Analysis, Computer Sciences and Financial Markets , 2009 .
[35] Keiji Tanaka,et al. Effects of shape-discrimination training on the selectivity of inferotemporal cells in adult monkeys. , 1998, Journal of neurophysiology.
[36] Ehud Zohary,et al. Correlated neuronal discharge rate and its implications for psychophysical performance , 1994, Nature.
[37] M. Newman. Power laws, Pareto distributions and Zipf's law , 2005 .
[38] Stefano Panzeri,et al. Firing Rate Distributions and Efficiency of Information Transmission of Inferior Temporal Cortex Neurons to Natural Visual Stimuli , 1999, Neural Computation.
[39] Sidney R. Lehky,et al. Frontiers in Computational Neuroscience Computational Neuroscience , 2022 .
[40] E. Rolls,et al. The Neurophysiology of Backward Visual Masking: Information Analysis , 1999, Journal of Cognitive Neuroscience.
[41] S. Edelman. Constraining the neural representation of the visual world , 2002, Trends in Cognitive Sciences.
[42] C. Koch,et al. Sparse Representation in the Human Medial Temporal Lobe , 2006, The Journal of Neuroscience.
[43] Keiji Tanaka,et al. Inferotemporal cortex and object vision. , 1996, Annual review of neuroscience.
[44] G Kovács,et al. Cortical correlate of pattern backward masking. , 1995, Proceedings of the National Academy of Sciences of the United States of America.
[45] D. Marr,et al. Representation and recognition of the spatial organization of three-dimensional shapes , 1978, Proceedings of the Royal Society of London. Series B. Biological Sciences.
[46] S. Thorpe,et al. The time course of visual processing: Backward masking and natural scene categorisation , 2005, Vision Research.
[47] Minami Ito,et al. Columns for visual features of objects in monkey inferotemporal cortex , 1992, Nature.
[48] R. Quiroga,et al. Extracting information from neuronal populations : information theory and decoding approaches , 2022 .
[49] J L Gallant,et al. Sparse coding and decorrelation in primary visual cortex during natural vision. , 2000, Science.
[50] Eric P. Smith,et al. An Introduction to Statistical Modeling of Extreme Values , 2002, Technometrics.
[51] C. L. Nikias,et al. Signal processing with alpha-stable distributions and applications , 1995 .
[52] Andrew Hollingworth,et al. Eye Movements During Scene Viewing: An Overview , 1998 .
[53] K. Tanaka,et al. Divergent Projections from the Anterior Inferotemporal Area TE to the Perirhinal and Entorhinal Cortices in the Macaque Monkey , 1996, The Journal of Neuroscience.
[54] N. Logothetis,et al. Shape representation in the inferior temporal cortex of monkeys , 1995, Current Biology.
[55] Masaki Tomonaga,et al. How chimpanzees look at pictures: a comparative eye-tracking study , 2009, Proceedings of the Royal Society B: Biological Sciences.
[56] Terrence J. Sejnowski,et al. Network model of shape-from-shading: neural function arises from both receptive and projective fields , 1988, Nature.
[57] K. Hoffmann,et al. Neural Dynamics of Saccadic Suppression , 2009, Journal of Neuroscience.
[58] David J. Field,et al. Emergence of simple-cell receptive field properties by learning a sparse code for natural images , 1996, Nature.
[59] D. Tolhurst,et al. Characterizing the sparseness of neural codes , 2001, Network.
[60] Keiji Tanaka,et al. Differences in onset latency of macaque inferotemporal neural responses to primate and non-primate faces. , 2005, Journal of neurophysiology.
[61] Anthony J. Movshon,et al. Optimal representation of sensory information by neural populations , 2006, Nature Neuroscience.
[62] Alexander S. Ecker,et al. Decorrelated Neuronal Firing in Cortical Microcircuits , 2010, Science.
[63] P. Goldman-Rakic,et al. Correlated discharges among putative pyramidal neurons and interneurons in the primate prefrontal cortex. , 2002, Journal of neurophysiology.
[64] R. Desimone,et al. Clustering of perirhinal neurons with similar properties following visual experience in adult monkeys , 2000, Nature Neuroscience.
[65] Keiji Tanaka,et al. Neuronal selectivities to complex object features in the ventral visual pathway of the macaque cerebral cortex. , 1994, Journal of neurophysiology.
[66] B L McNaughton,et al. Interpreting neuronal population activity by reconstruction: unified framework with application to hippocampal place cells. , 1998, Journal of neurophysiology.
[67] E T Rolls,et al. Sparseness of the neuronal representation of stimuli in the primate temporal visual cortex. , 1995, Journal of neurophysiology.
[68] Christian W. Eurich,et al. Representational Accuracy of Stochastic Neural Populations , 2002, Neural Computation.
[69] Jeffrey S Bowers,et al. On the biological plausibility of grandmother cells: implications for neural network theories in psychology and neuroscience. , 2009, Psychological review.
[70] I. A. Koutrouvelis. An iterative procedure for the estimation of the parameters of stable laws , 1981 .
[71] David L. Sheinberg,et al. Visual object recognition. , 1996, Annual review of neuroscience.
[72] R. Desimone,et al. Stimulus-selective properties of inferior temporal neurons in the macaque , 1984, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[73] K. Chung,et al. Limit Distributions for Sums of Independent Random Variables. , 1955 .
[74] J. Corcoran. Modelling Extremal Events for Insurance and Finance , 2002 .
[75] E. Miller,et al. Experience-dependent sharpening of visual shape selectivity in inferior temporal cortex. , 2005, Cerebral cortex.
[76] Sidney R. Lehky. Fine Discrimination of Faces can be Performed Rapidly , 2000, Journal of Cognitive Neuroscience.
[77] D. Perrett,et al. Rapid serial visual presentation for the determination of neural selectivity in area STSa. , 2004, Progress in brain research.
[78] P. Levy,et al. Calcul des Probabilites , 1926, The Mathematical Gazette.
[79] TJ Gawne,et al. How independent are the messages carried by adjacent inferior temporal cortical neurons? , 1993, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[80] D. Perrett,et al. Color sensitivity of cells responsive to complex stimuli in the temporal cortex. , 2003, Journal of neurophysiology.
[81] F. Mechler,et al. Independent and Redundant Information in Nearby Cortical Neurons , 2001, Science.
[82] S. R. Lehky,et al. Comparison of shape encoding in primate dorsal and ventral visual pathways. , 2007, Journal of neurophysiology.
[83] V. Zolotarev. One-dimensional stable distributions , 1986 .
[84] N. Kanwisher,et al. Domain specificity in visual cortex. , 2006, Cerebral cortex.
[85] D. Amaral,et al. Perirhinal and parahippocampal cortices of the macaque monkey: Cortical afferents , 1994, The Journal of comparative neurology.
[86] M. Tovée,et al. Processing speed in the cerebral cortex and the neurophysiology of visual masking , 1994, Proceedings of the Royal Society of London. Series B: Biological Sciences.
[87] D. Tolhurst,et al. The Sparseness of Neuronal Responses in Ferret Primary Visual Cortex , 2009, The Journal of Neuroscience.
[88] R. Vogels,et al. Properties of shape tuning of macaque inferior temporal neurons examined using rapid serial visual presentation. , 2007, Journal of neurophysiology.
[89] Mark A. McComb. A Practical Guide to Heavy Tails , 2000, Technometrics.
[90] C. Klüppelberg,et al. Modelling Extremal Events , 1997 .
[91] M. Taqqu,et al. Stable Non-Gaussian Random Processes : Stochastic Models with Infinite Variance , 1995 .
[92] R. Desimone,et al. Selectivity and sparseness in the responses of striate complex cells , 2005, Vision Research.
[93] B. Mandelbrot. The Variation of Certain Speculative Prices , 1963 .
[94] M. A. Smith,et al. Spatial and Temporal Scales of Neuronal Correlation in Primary Visual Cortex , 2008, The Journal of Neuroscience.