Emergent dynamics in a model of visual cortex

Research output: Contribution to journalArticlepeer-review


This paper proposes that the network dynamics of the mammalian visual cortex are highly structured and strongly shaped by temporally localized barrages of excitatory and inhibitory firing we call 'multiple-firing events' (MFEs). Our proposal is based on careful study of a network of spiking neurons built to reflect the coarse physiology of a small patch of layer 2/3 of V1. When appropriately benchmarked this network is capable of reproducing the qualitative features of a range of phenomena observed in the real visual cortex, including spontaneous background patterns, orientation-specific responses, surround suppression and gamma-band oscillations. Detailed investigation into the relevant regimes reveals causal relationships among dynamical events driven by a strong competition between the excitatory and inhibitory populations. It suggests that along with firing rates, MFE characteristics can be a powerful signature of a regime. Testable predictions based on model observations and dynamical analysis are proposed.

Original languageEnglish (US)
Pages (from-to)155-167
Number of pages13
JournalJournal of Computational Neuroscience
Issue number2
StatePublished - Oct 2013


  • Cascade
  • Dynamical systems
  • Visual cortex

ASJC Scopus subject areas

  • Sensory Systems
  • Cognitive Neuroscience
  • Cellular and Molecular Neuroscience


Dive into the research topics of 'Emergent dynamics in a model of visual cortex'. Together they form a unique fingerprint.

Cite this