Reconstructing stimulus velocity from neuronal responses in area MT

Wyeth Bair, James R. Cavanaugh, J. Anthony Movshon

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We employed a white-noise velocity signal to study the dynamics of the response of single neurons in the cortical area MT to visual motion. Responses were quantified using reverse correlation, optimal linear reconstruction filters, and reconstruction signal-to-noise ratio (SNR). The SNR and lower bound estimates of information rate were lower than we expected. Ninety percent of the information was transmitted below 18 Hz, and the highest lower bound on bit rate was 12 bits/s. A simulated opponent motion energy sub-unit with Poisson spike statistics was able to out-perform the MT neurons. The temporal integration window, measured from the reverse correlation half-width, ranged from 30-90 ms. The window was narrower when a stimulus moved faster, but did not change when temporal frequency was held constant.

Original languageEnglish (US)
Title of host publicationAdvances in Neural Information Processing Systems 9 - Proceedings of the 1996 Conference, NIPS 1996
PublisherNeural information processing systems foundation
Pages34-40
Number of pages7
ISBN (Print)0262100657, 9780262100656
StatePublished - 1997
Event10th Annual Conference on Neural Information Processing Systems, NIPS 1996 - Denver, CO, United States
Duration: Dec 2 1996Dec 5 1996

Publication series

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

Other

Other10th Annual Conference on Neural Information Processing Systems, NIPS 1996
CountryUnited States
CityDenver, CO
Period12/2/9612/5/96

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems
  • Signal Processing

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  • Cite this

    Bair, W., Cavanaugh, J. R., & Movshon, J. A. (1997). Reconstructing stimulus velocity from neuronal responses in area MT. In Advances in Neural Information Processing Systems 9 - Proceedings of the 1996 Conference, NIPS 1996 (pp. 34-40). (Advances in Neural Information Processing Systems). Neural information processing systems foundation.