Controlling neuronal sensitivity to synchronous input

Frances S. Chance, Alex D. Reyes

Research output: Contribution to journalArticle

Abstract

Neurons in vivo are continuously bombarded by synaptic input-so how can they detect particular inputs against this background of synaptic activity? We study how modulating background synaptic input can change neuronal sensitivity to a subset of synchronized inputs. We find that changes in net excitation or inhibition vary both the probability of detecting synchronous input and also the probability of a false-positive response. Varying the level of background input can modulate probability of synchrony detection independently of false-positive probability.

Original languageEnglish (US)
Pages (from-to)27-31
Number of pages5
JournalNeurocomputing
Volume58-60
DOIs
StatePublished - Jun 2004

Keywords

  • Background activity
  • Efficacy
  • Noise
  • Receiver-operating characteristic curve
  • Signal detection

ASJC Scopus subject areas

  • Computer Science Applications
  • Cognitive Neuroscience
  • Artificial Intelligence

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