Reliability of Layered Neural Oscillator Networks

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dc.creatorLin, Kevin K.
dc.creatorShea-Brown, Eric
dc.creatorYoung, Lai-Sang
dc.date2008-05-22
dc.date.accessioned2026-07-07T09:40:26Z
dc.date.available2026-07-07T09:40:26Z
dc.descriptionWe study the reliability of large networks of coupled neural oscillators in response to fluctuating stimuli. Reliability means that a stimulus elicits essentially identical responses upon repeated presentations. We view the problem on two scales: neuronal reliability, which concerns the repeatability of spike times of individual neurons embedded within a network, and pooled-response reliability, which addresses the repeatability of the total synaptic output from the network. We find that individual embedded neurons can be reliable or unreliable depending on network conditions, whereas pooled responses of sufficiently large networks are mostly reliable. We study also the effects of noise, and find that some types affect reliability more seriously than others.
dc.identifierhttps://arxiv.org/abs/0805.3523
dc.identifierhttp://arxiv.org/abs/0805.3523
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/161485
dc.subjectNeurons and Cognition
dc.subjectDisordered Systems and Neural Networks
dc.subjectAdaptation and Self-Organizing Systems
dc.titleReliability of Layered Neural Oscillator Networks
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