Work

Reliability of layered neural oscillator networks

Year: 2009

Type: article

Abstract: We study the reliability of large networks of pulse-coupled 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 oscillators embedded within a network, and pooledresponse reliability, which addresses the repeatability of the total output from the network.We find that individual embedded oscillators can be reliable or unreliable depending on network conditions, whereas pooled responses of sufficiently large networks are mostly reliable.

Source: Communications in Mathematical Sciences

DOI: 10.4310/cms.2009.v7.n1.a12

Authors: Kevin. K. Lin, Eric Shea-Brown, Lai-Sang Young

Institutions: University of Arizona, University of Washington, Courant Institute of Mathematical Sciences, New York University

Language: English

Topic: Neural dynamics and brain function

Subfield: Cognitive Neuroscience

Field: Neuroscience

Domain: Life Sciences

Open Access status: bronze

Funder: National Science Foundation

OpenAlex ID: W2964290459