Spike-time reliability of layered neural oscillator networks

Kevin Lin, E. Shea-Brown, L. S. Young

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

Abstract

If a network of neurons is repeatedly driven by the same fluctuating signal, will it give the same response each time? If so, the network is said to be reliable. Reliability is of interest in computational neuroscience because the degree to which a network is reliable constrains its ability to encode information in precise temporal patterns of spikes. This note outlines how the question of reliability may be fruitfully formulated and studied within the framework of random dynamical systems theory. A specific network architecture, that of a single-layer network, is examined. For the type of single-neuron dynamics and coupling considered here, single-layer networks are found to be very reliable. A qualitative explanation is proposed for this phenomenon.

Original languageEnglish (US)
Title of host publicationPhysics, Computation, and the Mind - Advances and Challenges at Interfaces - Proceedings of the 12th Granada Seminar on Computational and Statistical Physics
PublisherAmerican Institute of Physics Inc.
Pages207-209
Number of pages3
Volume1510
ISBN (Electronic)9780735411289
DOIs
StatePublished - 2013
Event12th Granada Seminar on Computational and Statistical Physics: Physics, Computation, and the Mind - Advances and Challenges at Interfaces - La Herradura, Spain
Duration: Sep 17 2012Sep 21 2012

Other

Other12th Granada Seminar on Computational and Statistical Physics: Physics, Computation, and the Mind - Advances and Challenges at Interfaces
CountrySpain
CityLa Herradura
Period9/17/129/21/12

Fingerprint

spikes
oscillators
neurons
neurology
dynamical systems

Keywords

  • coupled oscillators
  • Lyapunov exponents
  • neuronal networks
  • random dynamical systems
  • reliability
  • spike-time precision

ASJC Scopus subject areas

  • Physics and Astronomy(all)

Cite this

Lin, K., Shea-Brown, E., & Young, L. S. (2013). Spike-time reliability of layered neural oscillator networks. In Physics, Computation, and the Mind - Advances and Challenges at Interfaces - Proceedings of the 12th Granada Seminar on Computational and Statistical Physics (Vol. 1510, pp. 207-209). American Institute of Physics Inc.. https://doi.org/10.1063/1.4776521

Spike-time reliability of layered neural oscillator networks. / Lin, Kevin; Shea-Brown, E.; Young, L. S.

Physics, Computation, and the Mind - Advances and Challenges at Interfaces - Proceedings of the 12th Granada Seminar on Computational and Statistical Physics. Vol. 1510 American Institute of Physics Inc., 2013. p. 207-209.

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

Lin, K, Shea-Brown, E & Young, LS 2013, Spike-time reliability of layered neural oscillator networks. in Physics, Computation, and the Mind - Advances and Challenges at Interfaces - Proceedings of the 12th Granada Seminar on Computational and Statistical Physics. vol. 1510, American Institute of Physics Inc., pp. 207-209, 12th Granada Seminar on Computational and Statistical Physics: Physics, Computation, and the Mind - Advances and Challenges at Interfaces, La Herradura, Spain, 9/17/12. https://doi.org/10.1063/1.4776521
Lin K, Shea-Brown E, Young LS. Spike-time reliability of layered neural oscillator networks. In Physics, Computation, and the Mind - Advances and Challenges at Interfaces - Proceedings of the 12th Granada Seminar on Computational and Statistical Physics. Vol. 1510. American Institute of Physics Inc. 2013. p. 207-209 https://doi.org/10.1063/1.4776521
Lin, Kevin ; Shea-Brown, E. ; Young, L. S. / Spike-time reliability of layered neural oscillator networks. Physics, Computation, and the Mind - Advances and Challenges at Interfaces - Proceedings of the 12th Granada Seminar on Computational and Statistical Physics. Vol. 1510 American Institute of Physics Inc., 2013. pp. 207-209
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