Barry J. Richmond

发表

Barry J. Richmond, 2004, Journal of Computational Neuroscience.

Using Temporal Coding Neuronal Classification of Stationary Visual Stimuli Using Response Models to Estimate Channel Capacity for

Barry J. Richmond, C. Wiener, B. Richmond, 2016 .

Decoding cortical neuronal signals: Network models, information estimation and spatial tuning

Barry J. Richmond, John A. Hertz, Troels W. Kjær, 1994, Journal of Computational Neuroscience.

Anomalous response variability in a balanced cortical network model

Barry J. Richmond, John A. Hertz, Kristian Nilsen, 2002, Neurocomputing.

Modeling the Violation of Reward Maximization and Invariance in Reinforcement Schedules

Barry J. Richmond, Giancarlo La Camera, B. Richmond, 2008, PLoS Comput. Biol..

The relation between V1 neuronal responses and eye movement-like stimulus presentations

Barry J. Richmond, John A. Hertz, Timothy J. Gawne, 1999, Neurocomputing.

Unbiased measures of transmitted information and channel capacity from multivariate neuronal data

Barry J. Richmond, Timothy J. Gawne, Lance M. Optican, 1991, Biological Cybernetics.

A convolutional neural network for estimating synaptic connectivity from spike trains

Kenji Kawano, Barry J. Richmond, Shigeru Shinomoto, 2020, Scientific Reports.

Neurons as ideal change-point detectors

Barry J. Richmond, Shigeru Shinomoto, Hideaki Kim, 2011, Journal of Computational Neuroscience.

Information flow and temporal coding in primate pattern vision

Barry J. Richmond, John A. Hertz, Troels W. Kjær, 1995, Journal of Computational Neuroscience.

Short-Term Memory Trace in Rapidly Adapting Synapses of Inferior Temporal Cortex

Zheng Liu, Barry J. Richmond, Lance M. Optican, 2008, PLoS Comput. Biol..

How Well Can We Estimate the Information Carried in Neuronal Responses from Limited Samples?

Stefano Panzeri, Barry J. Richmond, David Golomb, 1997, Neural Computation.

A Comparison of Descriptive Models of a Single Spike Train by Information-Geometric Measure

Shun-ichi Amari, Barry J. Richmond, Hiroyuki Nakahara, 2006, Neural Computation.

Stochasticity, spikes and decoding: sufficiency and utility of order statistics

Barry J. Richmond, B. Richmond, 2009, Biological Cybernetics.

In vivo imaging of designer receptor that enables to modify reward-related behavior in monkeys

Barry J. Richmond, Hiroyuki Kaneko, Yoko Kato, 2014 .

Reconstructing neuronal circuitry from parallel spike trains

Katsunori Kitano, Markus Diesmann, Barry J. Richmond, 2019, Nature Communications.

On computer science, visual science, and the physiological utility of models

Barry J. Richmond, Michael E. Goldberg, B. Richmond, 1985, Behavioral and Brain Sciences.

Is Visual Processing in Primates Strictly Hierarchical

Barry J. Richmond, Samarth Chandra, Mark A.G. Eldridge, 2016 .

Measuring Natural Neural Processing with Artificial Neural Networks

Emad N. Eskandar, Barry J. Richmond, John A. Hertz, 1992, Int. J. Neural Syst..

Decoding of Neuronal Signals in Visual Pattern Recognition

Emad N. Eskandar, Barry J. Richmond, John A. Hertz, 1991, NIPS.

Stochastic Modeling of Neuronal Responses

Barry J. Richmond, 2011 .

Information spectroscopy of single neurons

Barry J. Richmond, John Hertz, Troels W. Kjaer, 1995 .

Reconstructing neuronal circuitry from parallel spike trains

Katsunori Kitano, Barry J. Richmond, Shigeru Shinomoto, 2018, Nature Communications.

Differential Encoding of Factors Influencing Predicted Reward Value in Monkey Rostral Anterior Cingulate Cortex

Barry J. Richmond, Koji Toda, Yasuko Sugase-Miyamoto, 2012, PloS one.

Combining Order Statistics with Bayes Theorem for Millisecond-by-Millisecond Decoding of Spike Trains

Barry J. Richmond, Matthew C. Wiener, 2006 .

Coarse Temporal Measures Redundant Direction Information With That From Excess Synchrony in Motor Cortical Neurons Provides

Nicholas G. Hatsopoulos, Barry J. Richmond, John P. Donoghue, 2001 .

Consistency of Encoding in Monkey Visual Cortex

Barry J. Richmond, Mike W. Oram, Matthew C. Wiener, 2001, The Journal of Neuroscience.

Comparison of single spike train descriptive models by information geometric measure

Shun-ichi Amari, Barry J. Richmond, Hiroyuki Nakahara, 2005 .

A Comparison of Descriptive Models of a Single Spike Train by Information-Geometric Measure

Shun-ichi Amari, Barry J. Richmond, Hiroyuki Nakahara, 2006 .

Predicting Future Rewards

Barry J. Richmond, Munetaka Shidara, B. Richmond, 2003, Science.

Effect of visual noise on pattern recognition

Barry J. Richmond, Munetaka Shidara, B. Richmond, 2005, Experimental Brain Research.

Response Features Determining Spike Times

Barry J. Richmond, Mike W. Oram, Matthew C. Wiener, 1999, Neural plasticity.