Controlling neuronal sensitivity to synchronous input

Frances S. Chance, Alexander 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

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Neurons

Keywords

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

ASJC Scopus subject areas

  • Artificial Intelligence
  • Cellular and Molecular Neuroscience

Cite this

Controlling neuronal sensitivity to synchronous input. / Chance, Frances S.; Reyes, Alexander.

In: Neurocomputing, Vol. 58-60, 06.2004, p. 27-31.

Research output: Contribution to journalArticle

Chance, Frances S. ; Reyes, Alexander. / Controlling neuronal sensitivity to synchronous input. In: Neurocomputing. 2004 ; Vol. 58-60. pp. 27-31.
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