STIMULUS ENCODING BY MULTIDIMENSIONAL RECEPTIVE FIELDS IN SINGLE CELLS AND CELL POPULATIONS IN VI OF AWAKE MONKEY

Edward Stern, Ad Aertsen, Eilon Vaadia, Shaul Hochstein

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Multiple single neuron responses were recorded from a single electrode in VI of alert, behaving monkeys. Drifting sinusoidal gratings were presented in the cells' overlapping receptive fields, and the stimulus was varied along several visual dimensions. The degree of dimensional separability was calculated for a large population of neurons, and found to be a continuum. Several cells showed different temporal response dependencies to variation of different stimulus dimensions, i.e. the tuning of the modulated firing was not necessarily the same as that of the mean firing rate. We describe a multidimensional receptive field, and use simultaneously recorded responses to compute a multi-neuron receptive field, describing the information processing capabilities of a group of cells. Using dynamic correlation analysis, we propose several computational schemes for multidimensional spatiotemporal tuning for groups of cells. The implications for neuronal coding of stimuli are discussed.

Original languageEnglish
Title of host publicationAdvances in Neural Information Processing Systems 5, NIPS 1992
EditorsStephen Jose Hanson, Jack D. Cowan, C. Lee Giles
PublisherNeural information processing systems foundation
Pages377-384
Number of pages8
ISBN (Electronic)1558602747, 9781558602748
DOIs
StatePublished - 1992
Event5th Advances in Neural Information Processing Systems, NIPS 1992 - Denver, United States
Duration: 30 Nov 19923 Dec 1992

Publication series

NameAdvances in Neural Information Processing Systems
Volume5
ISSN (Print)1049-5258

Conference

Conference5th Advances in Neural Information Processing Systems, NIPS 1992
Country/TerritoryUnited States
CityDenver
Period30/11/923/12/92

Bibliographical note

Publisher Copyright:
© 1992 Neural information processing systems foundation. All rights reserved.

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