Volume 30, Issue 1

Search all Journal of Computational Neuroscience articles

February 2011

Special Issue on Methods of Information Theory

Issue Editors:

Alexander G. Dimitrov,
Aurel Lazar,
Jonathan Victor

12 articles in this issue

Information theory in neuroscience
Alexander G. Dimitrov
Aurel A. Lazar
Jonathan D. Victor
EditorialNotes 29 January 2011 Pages: 1 - 5
On directed information theory and Granger causality graphs
Pierre-Olivier Amblard
Olivier J. J. Michel
OriginalPaper 24 March 2010 Pages: 7 - 16
Estimating the directed information to infer causal relationships in ensemble neural spike train recordings
Christopher J. Quinn
Todd P. Coleman
Nicholas G. Hatsopoulos
OriginalPaper 26 June 2010 Pages: 17 - 44
Transfer entropy—a model-free measure of effective connectivity for the neurosciences
Raul Vicente
Michael Wibral
Gordon Pipa
OriginalPaper Open access 13 August 2010 Pages: 45 - 67
Synaptic information transfer in computer models of neocortical columns
Samuel A. Neymotin
Kimberle M. Jacobs
William W. Lytton
OriginalPaper 17 June 2010 Pages: 69 - 84
Multivariate information-theoretic measures reveal directed information structure and task relevant changes in fMRI connectivity
Joseph T. Lizier
Jakob Heinzle
Mikhail Prokopenko
OriginalPaper 27 August 2010 Pages: 85 - 107
Local non-linear interactions in the visual cortex may reflect global decorrelation
Simo Vanni
Tom Rosenström
OriginalPaper 27 April 2010 Pages: 109 - 124
Information-geometric measure of 3-neuron firing patterns characterizes scale-dependence in cortical networks
Ifije E. Ohiorhenuan
Jonathan D. Victor
OriginalPaper 16 July 2010 Pages: 125 - 141
System identification of Drosophila olfactory sensory neurons
Anmo J. Kim
Aurel A. Lazar
Yevgeniy B. Slutskiy
OriginalPaper 21 August 2010 Pages: 143 - 161
Characterizing the fine structure of a neural sensory code through information distortion
Alexander G. Dimitrov
Graham I. Cummins
Zane N. Aldworth
OriginalPaper 21 August 2010 Pages: 163 - 179
Automating the design of informative sequences of sensory stimuli
Jeremy Lewi
David M. Schneider
Liam Paninski
OriginalPaper 16 June 2010 Pages: 181 - 200
A metric space approach to the information channel capacity of spike trains
James B. Gillespie
Conor J. Houghton
OriginalPaper 23 October 2010 Pages: 201 - 209

Volume 30, Issue 1

Information theory in neuroscience

On directed information theory and Granger causality graphs

Estimating the directed information to infer causal relationships in ensemble neural spike train recordings

Transfer entropy—a model-free measure of effective connectivity for the neurosciences

Synaptic information transfer in computer models of neocortical columns

Multivariate information-theoretic measures reveal directed information structure and task relevant changes in fMRI connectivity

Local non-linear interactions in the visual cortex may reflect global decorrelation

Information-geometric measure of 3-neuron firing patterns characterizes scale-dependence in cortical networks

System identification of Drosophila olfactory sensory neurons

Characterizing the fine structure of a neural sensory code through information distortion

Automating the design of informative sequences of sensory stimuli

A metric space approach to the information channel capacity of spike trains

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