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

Information loss in an optimal maximum likelihood decoding

Neural Computation

Representational accuracy of stochastic neural populations

Neural Computation

Information-geometric measure for neural spikes

Neural Computation

Optimal short-term population coding: when fisher information fails

Neural Computation

Simulation studies of the speed of recurrent processing

Emergent neural computational architectures based on neuroscience

Decoding the Population Responses of Retinal Ganglions Cells Using Information Theory

IWANN '01 Proceedings of the 6th International Work-Conference on Artificial and Natural Neural Networks: Connectionist Models of Neurons, Learning Processes and Artificial Intelligence-Part I

Simulation Studies of the Speed of Recurrent Processing

Emergent Neural Computational Architectures Based on Neuroscience - Towards Neuroscience-Inspired Computing

Rate Coding Versus Temporal Order Coding: What the Retinal Ganglion Cells Tell the Visual Cortex

Neural Computation

A Model of Invariant Object Recognition in the Visual System: Learning Rules, Activation Functions, Lateral Inhibition, and Information-Based Performance Measures

Neural Computation

Efficient Computation Based on Stochastic Spikes

Neural Computation

Parameters of spike trains observed in a short time window

Neural Computation

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

Neural Computation

A finite-sample, distribution-free, probabilistic lower bound on mutual information

Neural Computation

The Ising decoder: reading out the activity of large neural ensembles

Journal of Computational Neuroscience