@inproceedings{624f78f88ea448c881974835e3a2fd5d,
title = "Spike-time reliability of layered neural oscillator networks",
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.",
keywords = "Lyapunov exponents, coupled oscillators, neuronal networks, random dynamical systems, reliability, spike-time precision",
author = "Lin, {K. K.} and E. Shea-Brown and Young, {L. S.}",
note = "Publisher Copyright: {\textcopyright} 2013 American Institute of Physics.; 12th Granada Seminar on Computational and Statistical Physics: Physics, Computation, and the Mind - Advances and Challenges at Interfaces ; Conference date: 17-09-2012 Through 21-09-2012",
year = "2013",
doi = "10.1063/1.4776521",
language = "English (US)",
series = "AIP Conference Proceedings",
publisher = "American Institute of Physics Inc.",
pages = "207--209",
editor = "Cortes, {J. M.} and Garrido, {Pedro L.} and Joaquin Marro and Torres, {Joaquin J.}",
booktitle = "Physics, Computation, and the Mind - Advances and Challenges at Interfaces - Proceedings of the 12th Granada Seminar on Computational and Statistical Physics",
}