Probabilistic Population Codes for Bayesian Decision Making

[1]  Xiao-Jing Wang,et al.  Similarity Effect and Optimal Control of Multiple-Choice Decision Making , 2008, Neuron.

[2]  M. Shadlen,et al.  Decision-making with multiple alternatives , 2008, Nature Neuroscience.

[3]  Byounghoon Kim,et al.  Saccade Target Selection in the Superior Colliculus: A Signal Detection Theory Approach , 2008, The Journal of Neuroscience.

[4]  Timothy D. Hanks,et al.  Bounded Integration in Parietal Cortex Underlies Decisions Even When Viewing Duration Is Dictated by the Environment , 2008, The Journal of Neuroscience.

[5]  J. Gold,et al.  The neural basis of decision making. , 2007, Annual review of neuroscience.

[6]  Philip L. Smith,et al.  Dual diffusion model for single-cell recording data from the superior colliculus in a brightness-discrimination task. , 2007, Journal of neurophysiology.

[7]  Kevin N. Gurney,et al.  The Basal Ganglia and Cortex Implement Optimal Decision Making Between Alternative Actions , 2007, Neural Computation.

[8]  Michael N. Shadlen,et al.  The Speed and Accuracy of a Simple Perceptual Decision: A Mathematical Primer. , 2007 .

[9]  Rajesh P. N. Rao,et al.  Bayesian brain : probabilistic approaches to neural coding , 2006 .

[10]  Wei Ji Ma,et al.  Bayesian inference with probabilistic population codes , 2006, Nature Neuroscience.

[11]  Jonathan D. Cohen,et al.  The physics of optimal decision making: a formal analysis of models of performance in two-alternative forced-choice tasks. , 2006, Psychological review.

[12]  P. Holmes,et al.  The dynamics of choice among multiple alternatives , 2006 .

[13]  Xiao-Jing Wang,et al.  A Recurrent Network Mechanism of Time Integration in Perceptual Decisions , 2006, The Journal of Neuroscience.

[14]  M. Shadlen,et al.  Neural Activity in Macaque Parietal Cortex Reflects Temporal Integration of Visual Motion Signals during Perceptual Decision Making , 2005, The Journal of Neuroscience.

[15]  M. A. Smith,et al.  Stimulus Dependence of Neuronal Correlation in Primary Visual Cortex of the Macaque , 2005, The Journal of Neuroscience.

[16]  Ranulfo Romo,et al.  Flexible Control of Mutual Inhibition: A Neural Model of Two-Interval Discrimination , 2005, Science.

[17]  A. Pouget,et al.  Tuning curve sharpening for orientation selectivity: coding efficiency and the impact of correlations , 2004, Nature Neuroscience.

[18]  W. Newsome,et al.  Matching Behavior and the Representation of Value in the Parietal Cortex , 2004, Science.

[19]  Philip L. Smith,et al.  Psychology and neurobiology of simple decisions , 2004, Trends in Neurosciences.

[20]  L. Paninski Maximum likelihood estimation of cascade point-process neural encoding models , 2004, Network.

[21]  R. Freeman,et al.  Orientation selectivity in the cat's striate cortex is invariant with stimulus contrast , 2004, Experimental Brain Research.

[22]  Chris Eliasmith,et al.  Neural Engineering: Computation, Representation, and Dynamics in Neurobiological Systems , 2004, IEEE Transactions on Neural Networks.

[23]  M. Shadlen,et al.  A role for neural integrators in perceptual decision making. , 2003, Cerebral cortex.

[24]  M. Shadlen,et al.  Microstimulation of visual cortex affects the speed of perceptual decisions , 2003, Nature Neuroscience.

[25]  Peter E. Latham,et al.  Optimal computation with attractor networks , 2003, Journal of Physiology-Paris.

[26]  Xiao-Jing Wang,et al.  Robust Spatial Working Memory through Homeostatic Synaptic Scaling in Heterogeneous Cortical Networks , 2003, Neuron.

[27]  John W. Clark,et al.  Neural Representation of Probabilistic Information , 2001, Neural Computation.

[28]  Xiao-Jing Wang,et al.  Probabilistic Decision Making by Slow Reverberation in Cortical Circuits , 2002, Neuron.

[29]  M. Shadlen,et al.  Response of Neurons in the Lateral Intraparietal Area during a Combined Visual Discrimination Reaction Time Task , 2002, The Journal of Neuroscience.

[30]  W. Newsome,et al.  Neural basis of a perceptual decision in the parietal cortex (area LIP) of the rhesus monkey. , 2001, Journal of neurophysiology.

[31]  A. Pouget,et al.  Efficient computation and cue integration with noisy population codes , 2001, Nature Neuroscience.

[32]  James L. McClelland,et al.  The time course of perceptual choice: the leaky, competing accumulator model. , 2001, Psychological review.

[33]  J. Gold,et al.  Neural computations that underlie decisions about sensory stimuli , 2001, Trends in Cognitive Sciences.

[34]  D. Ferster,et al.  The contribution of noise to contrast invariance of orientation tuning in cat visual cortex. , 2000, Science.

[35]  R. Carpenter,et al.  The influence of urgency on decision time , 2000, Nature Neuroscience.

[36]  Wulfram Gerstner,et al.  Noise in Integrate-and-Fire Neurons: From Stochastic Input to Escape Rates , 2000, Neural Computation.

[37]  A. Pouget,et al.  Reading population codes: a neural implementation of ideal observers , 1999, Nature Neuroscience.

[38]  Michael L. Platt,et al.  Neural correlates of decision variables in parietal cortex , 1999, Nature.

[39]  Jeffrey N. Rouder,et al.  Modeling Response Times for Two-Choice Decisions , 1998 .

[40]  W. Newsome,et al.  The Variable Discharge of Cortical Neurons: Implications for Connectivity, Computation, and Information Coding , 1998, The Journal of Neuroscience.

[41]  B. Richmond,et al.  Coding strategies in monkey V1 and inferior temporal cortices. , 1998, Journal of neurophysiology.

[42]  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.

[43]  Ehud Zohary,et al.  Correlated neuronal discharge rate and its implications for psychophysical performance , 1994, Nature.

[44]  K. H. Britten,et al.  Responses of neurons in macaque MT to stochastic motion signals , 1993, Visual Neuroscience.

[45]  D. Sparks,et al.  Population coding of saccadic eye movements by neurons in the superior colliculus , 1988, Nature.

[46]  J. Movshon,et al.  The statistical reliability of signals in single neurons in cat and monkey visual cortex , 1983, Vision Research.

[47]  D. Vickers Decision processes in visual perception , 1979 .

[48]  S. Link,et al.  A sequential theory of psychological discrimination , 1975 .

[49]  J. Andel Sequential Analysis , 2022, The SAGE Encyclopedia of Research Design.

[50]  Donald Laming,et al.  Information theory of choice-reaction times , 1968 .

[51]  I. Miller Probability, Random Variables, and Stochastic Processes , 1966 .

[52]  Athanasios Papoulis,et al.  Probability, Random Variables and Stochastic Processes , 1965 .

[53]  M. Stone Models for choice-reaction time , 1960 .

[54]  J. Wolfowitz,et al.  Optimum Character of the Sequential Probability Ratio Test , 1948 .