Chaos and reliability in balanced spiking networks with temporal drive

Guillaume Lajoie, Kevin Lin, Eric Shea-Brown

Research output: Contribution to journalArticle

16 Citations (Scopus)

Abstract

Biological information processing is often carried out by complex networks of interconnected dynamical units. A basic question about such networks is that of reliability: If the same signal is presented many times with the network in different initial states, will the system entrain to the signal in a repeatable way? Reliability is of particular interest in neuroscience, where large, complex networks of excitatory and inhibitory cells are ubiquitous. These networks are known to autonomously produce strongly chaotic dynamics - an obvious threat to reliability. Here, we show that such chaos persists in the presence of weak and strong stimuli, but that even in the presence of chaos, intermittent periods of highly reliable spiking often coexist with unreliable activity. We elucidate the local dynamical mechanisms involved in this intermittent reliability, and investigate the relationship between this phenomenon and certain time-dependent attractors arising from the dynamics. A conclusion is that chaotic dynamics do not have to be an obstacle to precise spike responses, a fact with implications for signal coding in large networks.

Original languageEnglish (US)
Article number052901
JournalPhysical Review E - Statistical, Nonlinear, and Soft Matter Physics
Volume87
Issue number5
DOIs
StatePublished - May 6 2013

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spiking
Neurosciences
Automatic Data Processing
chaos
Chaos
Chaotic Dynamics
Complex Networks
Neuroscience
Information Processing
Spike
neurology
Attractor
Coding
spikes
stimuli
Unit
Cell
coding
cells

ASJC Scopus subject areas

  • Condensed Matter Physics
  • Statistical and Nonlinear Physics
  • Statistics and Probability
  • Medicine(all)

Cite this

Chaos and reliability in balanced spiking networks with temporal drive. / Lajoie, Guillaume; Lin, Kevin; Shea-Brown, Eric.

In: Physical Review E - Statistical, Nonlinear, and Soft Matter Physics, Vol. 87, No. 5, 052901, 06.05.2013.

Research output: Contribution to journalArticle

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