The upward bias in measures of information derived from limited data samples

How well can we estimate the information carried in neuronal responses from limited samples?

Neural Computation

Stable and rapid recurrent processing in realistic autoassociative memories

Neural Computation

On decoding the responses of a population of neurons from short time windows

Neural Computation

Information loss in an optimal maximum likelihood decoding

Neural Computation

Dynamical working memory and timed responses: the role of reverberating loops in the olivo-cerebellar system

Neural Computation

Information-geometric measure for neural spikes

Neural Computation

Estimation of entropy and mutual information

Neural Computation

Estimating Entropy Rates with Bayesian Confidence Intervals

Neural Computation

Analyzing Neural Responses to Natural Signals: Maximally Informative Dimensions

Neural Computation

How Many Clusters? An Information-Theoretic Perspective

Neural Computation

Asymptotic Bias in Information Estimates and the Exponential (Bell) Polynomials

Neural Computation

Estimating Information Rates with Confidence Intervals in Neural Spike Trains

Neural Computation

Inferring Connectivity of Genetic Regulatory Networks Using Information-Theoretic Criteria

IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)

Mutual information expansion for studying the role of correlations in population codes: How important are autocorrelations?

Neural Computation

Indices for testing neural codes

Neural Computation

2010 Special Issue: Information-theoretic methods for studying population codes

Neural Networks

2010 Special Issue: Multineuronal vectorization is more efficient than time-segmental vectorization for information extraction from neuronal activities in the inferior temporal cortex

Neural Networks

How synaptic release probability shapes neuronal transmission: Information-theoretic analysis in a cerebellar granule cell

Neural Computation

Information theory in neuroscience

Journal of Computational Neuroscience

A comprehensive evaluation of mutual information analysis using a fair evaluation framework

CRYPTO'11 Proceedings of the 31st annual conference on Advances in cryptology

Improved similarity measures for small sets of spike trains

Neural Computation

Characterizing responses of translation-invariant neurons to natural stimuli: Maximally informative invariant dimensions

Neural Computation

Unsupervised classification and visualization of unstructured text for the support of interdisciplinary collaboration

Proceedings of the 17th ACM conference on Computer supported cooperative work & social computing

Adaptive thresholding in structure learning of a Bayesian network

IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence

Synergy, redundancy, and multivariate information measures: an experimentalist's perspective

Journal of Computational Neuroscience