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Stimulus encoding within the barn owl optic tectum using gamma oscillations vs. spike rate: a modeling approach.

Publication ,  Journal Article
Patel, M; Reed, M
Published in: Network (Bristol, England)
January 2013

The optic tectum of the barn owl is a multimodal structure with multiple layers, with each layer topographically organized according to spatial receptive field. The response of a site to a stimulus can be measured as either spike rate or local field potential (LFP) gamma (25-90 Hz) power; within superficial layers, spike rate and gamma power spatial tuning curves are narrow and contrast-response functions rise slowly. Within deeper layers, however, spike rate tuning curves broaden and gamma power contrast-response functions sharpen. In this work, we employ a computational model to describe the inputs required to generate these transformations from superficial to deep layers and show that gamma power and spike rate can act as parallel information processing streams.

Duke Scholars

Published In

Network (Bristol, England)

DOI

EISSN

1361-6536

ISSN

0954-898X

Publication Date

January 2013

Volume

24

Issue

2

Start / End Page

52 / 74

Related Subject Headings

  • Superior Colliculi
  • Strigiformes
  • Neurology & Neurosurgery
  • Models, Neurological
  • Computer Simulation
  • Animals
  • 17 Psychology and Cognitive Sciences
  • 11 Medical and Health Sciences
  • 08 Information and Computing Sciences
 

Citation

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Patel, M., & Reed, M. (2013). Stimulus encoding within the barn owl optic tectum using gamma oscillations vs. spike rate: a modeling approach. Network (Bristol, England), 24(2), 52–74. https://doi.org/10.3109/0954898x.2013.763405
Patel, Mainak, and Mike Reed. “Stimulus encoding within the barn owl optic tectum using gamma oscillations vs. spike rate: a modeling approach.Network (Bristol, England) 24, no. 2 (January 2013): 52–74. https://doi.org/10.3109/0954898x.2013.763405.
Patel, Mainak, and Mike Reed. “Stimulus encoding within the barn owl optic tectum using gamma oscillations vs. spike rate: a modeling approach.Network (Bristol, England), vol. 24, no. 2, Jan. 2013, pp. 52–74. Epmc, doi:10.3109/0954898x.2013.763405.

Published In

Network (Bristol, England)

DOI

EISSN

1361-6536

ISSN

0954-898X

Publication Date

January 2013

Volume

24

Issue

2

Start / End Page

52 / 74

Related Subject Headings

  • Superior Colliculi
  • Strigiformes
  • Neurology & Neurosurgery
  • Models, Neurological
  • Computer Simulation
  • Animals
  • 17 Psychology and Cognitive Sciences
  • 11 Medical and Health Sciences
  • 08 Information and Computing Sciences