Stimulus-selective spiking is driven by the relative timing of synchronous excitation and disinhibition in cat striate neurons in vivo

Rony Azouz, Charles M. Gray

Research output: Contribution to journalArticlepeer-review

21 Scopus citations

Abstract

What patterns of synaptic input cause cortical neurons to fire action potentials? Are they stochastic in nature, or do action potentials arise from the specific timing of synaptic input? We addressed these questions by measuring the membrane potential fluctuations associated with the generation of visually evoked action potentials in cat striate cortical neurons in vivo. In response to visual stimulation, action potentials occurred at the crest of large-amplitude, transient depolarizations (TDs) riding on sustained depolarization of the membrane potential. The magnitude, duration and rate of depolarization of these transient events were tuned for stimulus orientation. Using numerical simulations, we find that these transient events can arise from the temporal interplay between synchronous excitation and inhibition. To validate these findings, we made conductance measurements, at the preferred stimulus orientation, and showed that the TDs arise either from an increase in excitatory conductance, or from a combination of increased excitatory and decreased inhibitory conductance, both riding on sustained changes in synaptic conductances. The properties of the TDs and their underlying conductance suggest that they arise from a specific temporal interplay between synchronous excitatory and inhibitory synaptic inputs. Our results illustrate a mechanism by which the timing of synaptic inputs determines much of the spiking activity in striate cortical neurons.

Original languageEnglish
Pages (from-to)1286-1300
Number of pages15
JournalEuropean Journal of Neuroscience
Volume28
Issue number7
DOIs
StatePublished - 1 Oct 2008

Keywords

  • Excitation
  • Inhibition
  • Synaptic conductances
  • Synaptic integration
  • Synchronization
  • Visual cortex

ASJC Scopus subject areas

  • General Neuroscience

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