Transient Information Flow in a Network of Excitatory and Inhibitory Model Neurons: Role of Noise and Signal Autocorrelation
| dc.creator | Mayor, Julien | |
| dc.creator | Gerstner, Wulfram | |
| dc.date | 2005-02-23 | |
| dc.date.accessioned | 2026-07-07T05:58:56Z | |
| dc.date.available | 2026-07-07T05:58:56Z | |
| dc.description | We investigate the performance of sparsely-connected networks of integrate-and-fire neurons for ultra-short term information processing. We exploit the fact that the population activity of networks with balanced excitation and inhibition can switch from an oscillatory firing regime to a state of asynchronous irregular firing or quiescence depending on the rate of external background spikes. We find that in terms of information buffering the network performs best for a moderate, non-zero, amount of noise. Analogous to the phenomenon of stochastic resonance the performance decreases for higher and lower noise levels. The optimal amount of noise corresponds to the transition zone between a quiescent state and a regime of stochastic dynamics. This provides a potential explanation on the role of non-oscillatory population activity in a simplified model of cortical micro-circuits. | |
| dc.description | 27 pages, 7 figures, to appear in J. Physiology (Paris) Vol. 98 | |
| dc.identifier | https://arxiv.org/abs/q-bio/0502030 | |
| dc.identifier | http://arxiv.org/abs/q-bio/0502030 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/88549 | |
| dc.subject | Neurons and Cognition | |
| dc.title | Transient Information Flow in a Network of Excitatory and Inhibitory Model Neurons: Role of Noise and Signal Autocorrelation | |
| dc.type | text |