Information representation with an ensemble of Hodgkin-Huxley neurons

Authors:
Aurel A. Lazar
Affiliations:
Department of Electrical Engineering, Columbia University, New York, NY 10027, USA
Venue:
Neurocomputing
Year:
2007

Citing 1
Cited 2

Multichannel time encoding with integrate-and-fire neurons

Neurocomputing

Faithful representation of stimuli with a population of integrate-and-fire neurons

Neural Computation
Population encoding with Hodgkin-Huxley neurons

IEEE Transactions on Information Theory - Special issue on information theory in molecular biology and neuroscience

Quantified Score

Hi-index	0.02

Visualization

Abstract

Motivated by the natural representation of stimuli in sensory systems, we investigate the representation of a bandlimited signal by an ensemble of Hodgkin-Huxley neurons with multiplicative coupling. We show that such a neuronal ensemble is I/O equivalent with an ensemble of integrate-and-fire neurons with variable threshold. The value of the threshold sequence is explicitly given. We describe a general algorithm for recovering the stimulus at the input of the neuronal ensemble.