Article

Refractoriness and neural precision

Authors:

Michael J. Berry, II and

Markus MeisterAuthors Info & Claims

NIPS'97: Proceedings of the 10th International Conference on Neural Information Processing Systems

December 1997

Pages 110 - 116

Published: 01 December 1997 Publication History

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Abstract

The relationship between a neuron's refractory period and the precision of its response to identical stimuli was investigated. We constructed a model of a spiking neuron that combines probabilistic firing with a refractory period. For realistic refractoriness, the model closely reproduced both the average firing rate and the response precision of a retinal ganglion cell. The model is based on a "free" firing rate, which exists in the absence of refractoriness. This function may be a better description of a spiking neuron's response than the peri-stimulus time histogram.

References

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Berry, M. J., D. K. Warland, and M. Meister, The Structure and Precision of Retinal Spike Trains. PNAS, USA, 1997. 94: pp. 5411-5416.

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Berry II, M. J. and Markus Meister, Refractoriness and Neural Precision. J. Neurosci., 1998. in press.

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De Ruyter van Steveninck, R. R., G. D. Lewen, S. P. Strong, R. Koberle, and W. Bialek, Reliability and Variability in Neural Spike Trains. Science, 1997. 275: pp. 1805-1808.

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Meister, M., J. Pine, and D. A. Baylor, Multi-Neuronal Signals from the Retina: Acquisition and Analysis. J. Neurosci. Methods, 1994. 51: pp. 95-106.

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Rieke, F., D. K. Warland, R. R. de Ruyter van Steveninck, and W. Bialek, Spikes: Exploring the Neural Code. 1997, Cambridge, MA: MIT Press.

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NIPS'97: Proceedings of the 10th International Conference on Neural Information Processing Systems

December 1997

1077 pages

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MIT Press

Cambridge, MA, United States

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Published: 01 December 1997

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Spike Timing Precision and Neural Error Correction: Local Behavior

Interspike interval correlations, memory, adaptation, and refractoriness in a leaky integrate-and-fire model with threshold fatigue

Precision constrained stochastic resonance in a feedforward neural network

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