Noise Removal by Nonlinear Synapses

M. C. W.  Van Rossum; R. G. Smith

doi:10.1007/978-1-4615-4831-7_50

Noise Removal by Nonlinear Synapses

M. C. W. Van Rossum, R. G. Smith

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

When many synaptic inputs convergence onto a neuron the pooled noise can overwhelm sparse input signals. However, thresholding the inputs can remove noise and signal quality can be maintained. We present here how this mechanism applies to photon detection in the retina.

Original language	English
Title of host publication	Computational Neuroscience
Subtitle of host publication	Trends in Research, 1998
Editors	James M. Bower
Place of Publication	Boston, MA
Publisher	Springer
Pages	297-302
Number of pages	6
ISBN (Electronic)	978-1-4615-4831-7
ISBN (Print)	978-1-4613-7190-8
DOIs	https://doi.org/10.1007/978-1-4615-4831-7_50
Publication status	Published - 1998

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title = "Noise Removal by Nonlinear Synapses",

abstract = "When many synaptic inputs convergence onto a neuron the pooled noise can overwhelm sparse input signals. However, thresholding the inputs can remove noise and signal quality can be maintained. We present here how this mechanism applies to photon detection in the retina.",

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DO - 10.1007/978-1-4615-4831-7_50

M3 - Chapter

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EP - 302

BT - Computational Neuroscience

A2 - Bower, James M.

PB - Springer

CY - Boston, MA

ER -

Noise Removal by Nonlinear Synapses

Abstract

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