Inference and computation with population codes.
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[1] D. Hubel,et al. Receptive fields, binocular interaction and functional architecture in the cat's visual cortex , 1962, The Journal of physiology.
[2] Athanasios Papoulis,et al. Probability, Random Variables and Stochastic Processes , 1965 .
[3] D. M. Green,et al. Signal detection theory and psychophysics , 1966 .
[4] M. Degroot. Optimal Statistical Decisions , 1970 .
[5] J. O'Keefe,et al. The hippocampus as a spatial map. Preliminary evidence from unit activity in the freely-moving rat. , 1971, Brain research.
[6] D. Rubin,et al. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .
[7] A. Dean. The relationship between response amplitude and contrast for cat striate cortical neurones. , 1981, The Journal of physiology.
[8] P. Thompson. Perceived rate of movement depends on contrast , 1982, Vision Research.
[9] A P Georgopoulos,et al. On the relations between the direction of two-dimensional arm movements and cell discharge in primate motor cortex , 1982, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[10] Stephen Grossberg,et al. Absolute stability of global pattern formation and parallel memory storage by competitive neural networks , 1983, IEEE Transactions on Systems, Man, and Cybernetics.
[11] J. Movshon,et al. The statistical reliability of signals in single neurons in cat and monkey visual cortex , 1983, Vision Research.
[12] D C Van Essen,et al. Functional properties of neurons in middle temporal visual area of the macaque monkey. I. Selectivity for stimulus direction, speed, and orientation. , 1983, Journal of neurophysiology.
[13] R. M. Siegel,et al. Encoding of spatial location by posterior parietal neurons. , 1985, Science.
[14] E H Adelson,et al. Spatiotemporal energy models for the perception of motion. , 1985, Journal of the Optical Society of America. A, Optics and image science.
[15] A. J. Mistlin,et al. Visual cells in the temporal cortex sensitive to face view and gaze direction , 1985, Proceedings of the Royal Society of London. Series B. Biological Sciences.
[16] D. Regan,et al. Postadaptation orientation discrimination. , 1985, Journal of the Optical Society of America. A, Optics and image science.
[17] I. Ohzawa,et al. The effects of contrast on visual orientation and spatial frequency discrimination: a comparison of single cells and behavior. , 1987, Journal of neurophysiology.
[18] D. Sparks,et al. Population coding of saccadic eye movements by neurons in the superior colliculus , 1988, Nature.
[19] T. Poggio. A theory of how the brain might work. , 1990, Cold Spring Harbor symposia on quantitative biology.
[20] Alexandre Pouget,et al. Connectionist Models of Orientation Identification , 1991 .
[21] Tomaso Poggio,et al. Computational vision and regularization theory , 1985, Nature.
[22] J P Miller,et al. Representation of sensory information in the cricket cercal sensory system. II. Information theoretic calculation of system accuracy and optimal tuning-curve widths of four primary interneurons. , 1991, Journal of neurophysiology.
[23] E. Adelson,et al. Directionally selective complex cells and the computation of motion energy in cat visual cortex , 1992, Vision Research.
[24] D. Heeger. Normalization of cell responses in cat striate cortex , 1992, Visual Neuroscience.
[25] P. Thompson,et al. Human speed perception is contrast dependent , 1992, Vision Research.
[26] P. Földiák,et al. The ‘Ideal Homunculus’: Statistical Inference from Neural Population Responses , 1993 .
[27] H Sompolinsky,et al. Simple models for reading neuronal population codes. , 1993, Proceedings of the National Academy of Sciences of the United States of America.
[28] Zhaoping Li,et al. Toward a Theory of the Striate Cortex , 1994, Neural Computation.
[29] Mark E. Nelson,et al. A Mechanism for Neuronal Gain Control by Descending Pathways , 1994, Neural Computation.
[30] M. Graziano,et al. Tuning of MST neurons to spiral motions , 1994, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[31] Terrence J. Sejnowski,et al. Spatial Representations in the Parietal Cortex May Use Basis Functions , 1994, NIPS.
[32] Ehud Zohary,et al. Correlated neuronal discharge rate and its implications for psychophysical performance , 1994, Nature.
[33] H. Sompolinsky,et al. Theory of orientation tuning in visual cortex. , 1995, Proceedings of the National Academy of Sciences of the United States of America.
[34] L F Abbott,et al. Transfer of coded information from sensory to motor networks , 1995, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[35] Christopher M. Bishop,et al. Neural networks for pattern recognition , 1995 .
[36] L. Abbott,et al. A model of multiplicative neural responses in parietal cortex. , 1996, Proceedings of the National Academy of Sciences of the United States of America.
[37] J. Movshon,et al. A computational analysis of the relationship between neuronal and behavioral responses to visual motion , 1996, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[38] K. Zhang,et al. Representation of spatial orientation by the intrinsic dynamics of the head-direction cell ensemble: a theory , 1996, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[39] H S Seung,et al. How the brain keeps the eyes still. , 1996, Proceedings of the National Academy of Sciences of the United States of America.
[40] T. Sanger,et al. Probability density estimation for the interpretation of neural population codes. , 1996, Journal of neurophysiology.
[41] N. Logothetis,et al. Activity changes in early visual cortex reflect monkeys' percepts during binocular rivalry , 1996, Nature.
[42] Peter Dayan,et al. Combining Probabilistic Population Codes , 1997, IJCAI.
[43] R. Wurtz,et al. Responses of MT and MST neurons to one and two moving objects in the receptive field. , 1997, Journal of neurophysiology.
[44] T. Sejnowski,et al. Spatial Transformations in the Parietal Cortex Using Basis Functions , 1997, Journal of Cognitive Neuroscience.
[45] Nicolas Brunel,et al. Mutual Information, Fisher Information, and Population Coding , 1998, Neural Computation.
[46] Peter E. Latham,et al. Statistically Efficient Estimation Using Population Coding , 1998, Neural Computation.
[47] D. Perrett,et al. The `Ideal Homunculus': decoding neural population signals , 1998, Trends in Neurosciences.
[48] A. P. Georgopoulos,et al. Variability and Correlated Noise in the Discharge of Neurons in Motor and Parietal Areas of the Primate Cortex , 1998, The Journal of Neuroscience.
[49] B. Richmond,et al. Coding strategies in monkey V1 and inferior temporal cortices. , 1998, Journal of neurophysiology.
[50] Haim Sompolinsky,et al. The Effect of Correlations on the Fisher Information of Population Codes , 1998, NIPS.
[51] Alexandre Pouget,et al. Probabilistic Interpretation of Population Codes , 1996, Neural Computation.
[52] Richard A. Andersen,et al. Gaze coding in the posterior parietal cortex , 1998 .
[53] Peter Dayan,et al. The Effect of Correlated Variability on the Accuracy of a Population Code , 1999, Neural Computation.
[54] Peter E. Latham,et al. Narrow Versus Wide Tuning Curves: What's Best for a Population Code? , 1999, Neural Computation.
[55] Michael L. Platt,et al. Neural correlates of decision variables in parietal cortex , 1999, Nature.
[56] Daniel Kersten,et al. High-level Vision as Statistical Inference , 1999 .
[57] R. Snowden,et al. The Effect of Contrast upon Perceived Speed: A General Phenomenon? , 1999, Perception.
[58] Alexander Borst,et al. Information theory and neural coding , 1999, Nature Neuroscience.
[59] John J. Hopfield,et al. Neural networks and physical systems with emergent collective computational abilities , 1999 .
[60] A. Pouget,et al. Reading population codes: a neural implementation of ideal observers , 1999, Nature Neuroscience.
[61] Thomas J. Anastasio,et al. Using Bayes' Rule to Model Multisensory Enhancement in the Superior Colliculus , 2000, Neural Computation.
[62] P. Goldman-Rakic,et al. Synaptic mechanisms and network dynamics underlying spatial working memory in a cortical network model. , 2000, Cerebral cortex.
[63] Stefan Treue,et al. Seeing multiple directions of motion—physiology and psychophysics , 2000, Nature Neuroscience.
[64] Christian W. Eurich,et al. Multidimensional Encoding Strategy of Spiking Neurons , 2000, Neural Computation.
[65] Stefan Treue,et al. Different populations of neurons contribute to the detection and discrimination of visual motion , 2001, Vision Research.
[66] Si Wu,et al. Population Coding with Correlation and an Unfaithful Model , 2001, Neural Computation.
[67] R. Blake. © 2001 Kluwer Academic Publishers. Printed in the Netherlands. 5 A Primer on Binocular Rivalry, Including Current Controversies , 2000 .
[68] David J. Fleet,et al. Velocity Likelihoods in Biological and Machine Vision , 2001 .
[69] H. Sompolinsky,et al. Population coding in neuronal systems with correlated noise. , 2001, Physical review. E, Statistical, nonlinear, and soft matter physics.
[70] J. Gold,et al. Neural computations that underlie decisions about sensory stimuli , 2001, Trends in Cognitive Sciences.
[71] A. Pouget,et al. Efficient computation and cue integration with noisy population codes , 2001, Nature Neuroscience.
[72] M. Ernst,et al. Humans integrate visual and haptic information in a statistically optimal fashion , 2002, Nature.
[73] R. Jacobs. What determines visual cue reliability? , 2002, Trends in Cognitive Sciences.
[74] J. Cowan,et al. The visual cortex as a crystal , 2002 .
[75] M. Carandini,et al. Testing the Bayesian model of perceived speed , 2002, Vision Research.
[76] Edward H. Adelson,et al. Motion illusions as optimal percepts , 2002, Nature Neuroscience.
[77] Matthias Bethge,et al. Optimal Short-Term Population Coding: When Fisher Information Fails , 2002, Neural Computation.
[78] Frances S. Chance,et al. Gain Modulation from Background Synaptic Input , 2002, Neuron.
[79] Christian W. Eurich,et al. Representational Accuracy of Stochastic Neural Populations , 2002, Neural Computation.
[80] N. Logothetis,et al. Visual competition , 2002, Nature Reviews Neuroscience.
[81] Alexandre Pouget,et al. A computational perspective on the neural basis of multisensory spatial representations , 2002, Nature Reviews Neuroscience.
[82] Bruno A. Olshausen,et al. Book Review , 2003, Journal of Cognitive Neuroscience.
[83] M. Paradiso,et al. A theory for the use of visual orientation information which exploits the columnar structure of striate cortex , 2004, Biological Cybernetics.
[84] Emilio Salinas,et al. Vector reconstruction from firing rates , 1994, Journal of Computational Neuroscience.
[85] R. Freeman,et al. Orientation selectivity in the cat's striate cortex is invariant with stimulus contrast , 2004, Experimental Brain Research.
[86] Jan J. Koenderink,et al. Information in channel-coded systems: correlated receivers , 1992, Biological Cybernetics.
[87] Jan J. Koenderink,et al. Discrimination thresholds for channel-coded systems , 1992, Biological Cybernetics.