Probabilistic Interpretation of Population Codes Communicated by Terrence Sanger (2009)
Richard S. Zemel, Peter Dayan, Alexandre Pouget
We present a general encoding-decoding framework for interpreting the activity of a population of units. A standard population code interpretation method, the Poisson model, starts from a description...
Communicated by Terrence Sanger Statistically Ef�cient Estimation Using Population Coding (2008)
Alexandre Pouget, Kechen Zhang, Sophie Deneve, Peter E. Latham
Coarse codes are widely used throughout the brain to encode sensory and motor variables. Methods designed to interpret these codes, such as population vector analysis, are either inef�cient (the...
Alexandre Pouget, Sophie Deneve, Jean-christophe Ducom, Peter E. Latham
Neurophysiologists are often faced with the problem of evaluating the quality of a code for a sensory or motor variable, either to relate it to the performance of the animal in a simple...
Probabilistic Interpretation of Population Codes Communicated by Terrence Sanger (2008)
Richard S. Zemel, Peter Dayan, Alexandre Pouget
We present a general encoding-decoding framework for interpreting the activity of a population of units. A standard population code interpretation method, the Poisson model, starts from a description...
Statistically Efficient Estimation Using Cortical Lateral Connections (2007)
Alexandre Pouget, Kechen Zhang
Coarse codes are widely used throughout the brain to encode sensory and motor variables. Methods designed to interpret these codes, such as population vector analysis, are either inefficient, i.e.,...
Frames of Reference in Hemineglect: A Computational Approach (2007)
A. Pouget, S. Deneve, T.J. Sejnowski, Alexandre Pouget
their trunk, which would correspond to trunk-centered neglect. Other frames of reference such as head-centered or environment centered (allocentric) are also possible. These various possibilities can...
Heeger's Normalization, Line Attractor Networks and Ideal Observers (2007)
Sophie Deneve, Alexandre Pouget, Peter Latham
Gain control by divisive inhibition, a.k.a. Heeger's normalization, seems to be a general mechanism throughout the visual cortex. We explore in this study the statistical properties of this...
Selective Integration: A Model for Disparity Estimation (2007)
Michael S. Gray, Alexandre Pouget, Re Pouget, Richard S. Zemel, Steven J. Nowlan, Terrence J. Sejnowski
Local disparity information is often sparse and noisy, which creates two conflicting demands when estimating disparity in an image region: the need to spatially average to get an accurate estimate,...
Communicated by Terrence Sanger Statistically Ef�cient Estimation Using Population Coding (2007)
Alexandre Pouget, Kechen Zhang, Sophie Deneve, Peter E. Latham
Coarse codes are widely used throughout the brain to encode sensory and motor variables. Methods designed to interpret these codes, such as population vector analysis, are either inef�cient (the...
Carlos Brody Cold, Alexandre Pouget, Amgen Inc, Aventis Pharma Ag, Bioventures Inc, Genentech Inc, ...
Abstracts of papers presented at the 2004 meeting on
Alexandre Pouget, Terrence J. Sejnowski
The basis function theory of spatial representations explains how neurons i n the parietal cortex can perform nonlinear transformations from sensory to motor coordinates. The authors present computer...
Divisive Normalization, Line Attractor Networks and Ideal Observers (1999)
Sophie Deneve, Alexandre Pouget, P.E. Latham
Gain control by divisive inhibition, a.k.a. divisive normalization, has been proposed to be a general mechanism throughout the visual cortex. We explore in this study the statistical properties of...
Narrow Vs Wide Tuning Curves: What's Best for a Population Code? (1999)
Sophie Deneve, Jean-christophe Ducom, Peter E, Alexandre Pouget Sophie, Alexandre Pouget
Neurophysiologists are often faced with the problem of evaluating the quality of a code for a sensory or motor variable, either to relate it to the performance of the animal in a simple...
Re Pougety, Terrence J Sejnowski, Alexandre Pouget
In a recently developed theory of spatial representations, the position of an object is encoded not in a particular frame of reference, as in previous models, but rather a population of neurons that...
Narrow Vs Wide Tuning Curves: What's Best for a Population Code? (1999)
Sophie Deneve, Jean-christophe Ducom, Peter E, Peter E. Latham, Alexandre Pouget, Alexandre Pouget
Neurophysiologists are often faced with the problem of evaluating the quality of a code for a sensory or motor variable, either to relate it to the performance of the animal in a simple...
Statistically Efficient Estimation Using Population Coding (1998)
Alexandre Pouget Kechen, Kechen Zhang, Sophie Deneve, Peter E. Latham, Alexandre Pouget, Alexandre Pouget
Coarse codes are widely used throughout the brain to encode sensory and motor variables. Methods designed to interpret these codes, such as population vector analysis, are either inefficient, i.e.,...
Statistically Efficient Estimation Using Population Coding (1998)
Kechen Zhang, Sophie Deneve, Peter E. Latham, Alexandre Pouget, Alexandre Pouget
Coarse codes are widely used throughout the brain to encode sensory and motor variables. Methods designed to interpret these codes, such as population vector analysis, are either inefficient, i.e.,...
Probabilistic interpretation of population codes (1998)
Richard S. Zemel, Peter Dayan, Alexandre Pouget
We present a general encoding-decoding framework for interpreting the activity of a population of units. A standard population code interpretation method, the Poisson model, starts from a description...
Probabilistic Interpretation of Population Codes (1997)
Richard Zemel, Peter Dayan, Alexandre Pouget
We present a general encoding-decoding framework for interpreting the activity of a population of units. A standard population code interpretation method, the Poisson model, starts from a description...
Probabilistic Interpretation of Population Codes (1997)
Richard S. Zemel, Peter Dayan, Alexandre Pouget
We present a general encoding-decoding framework for interpreting the activity of a population of units. A standard population code interpretation method, the Poisson model, starts from a description...
Probabilistic Interpretation of Population Codes (1997)
Richard Zemel, Peter Dayan, Alexandre Pouget
We present a theoretical framework for population codes which generalises naturally to the important case where the population provides information about a whole probability distribution over an...
Spatial Representations in the Parietal Cortex May Use Basis Functions (1995)
Alexandre Pouget, Terrence J. Sejnowski, Howard Hughes
The parietal cortex is thought to represent the egocentric positions of objects in particular coordinate systems. We propose an alternative approach to spatial perception of objects in the parietal...
Alexandre Pouget, Terrence J. Sejnowski, Howard Hughes
Introduction The term dynamic remapping has been used in many different ways but one of the clearest formulations of this concept comes from the mental rotation studies by Georgopoulos et al. (1989)....
A Neural Model of the Cortical Representation of Egocentric Distance (1994)
Alexandre Pouget, Terrence J. Sejnowski
Neurons in the visual cortex of monkeys respond selectively to the disparity between the images in the two eyes. Recent recordings have shown that some of the disparity-selective neurons in the...
Computational Models of Spatial Representation (1994)
Alexandre Pouget, All Rights Reserved
: : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : xiii I Introduction : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : 1 A. Spatial representations and...
Egocentric Spatial Representation in Early Vision (1993)
Re Pouget, Steven A. Fisher, Terrence J. Sejnowski, Howard Hughes, Alexandre Pouget
Neurons encoding simple visual features in area V1 such as orientation, direction of motion and color are organized in retinotopic maps. However, recent physiological experiments have shown that the...
A Model of Spatial Representations in Parietal Cortex Explains Hemineglect
Alexandre Pouget, Terrence J. Sejnowski
We have recently developed a theory of spatial representations in which the position of an object is not encoded in a particular frame of reference but, instead, involves neurons computing basis...
Spatial Transformations in the Parietal Cortex Using Basis Functions
Re Pouget, Terrence J. Sejnowski, Alexandre Pouget
Sensorimotor transformations are nonlinear mappings of sensory inputs to motor responses. We explore here the possibility that the responses of single neurons in the parietal cortex serve as basis...