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Related Experiment Videos

Rate and timing in cortical synaptic plasticity.

Sacha B Nelson1, Per Jesper Sjöström, Gina G Turrigiano

  • 1Department of Biology and Volen Center for Complex Systems, Brandeis University, Mailstop 008, 415 South Street, Waltham, MA 02454-9110, USA. nelson@brandeis.edu

Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences
|March 11, 2003
PubMed
Summary
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Cortical neurons

Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Synaptic Plasticity

Background:

  • Ongoing debate regarding information transmission in cortical neurons: average firing rates versus precise spike timing.
  • Understanding the factors controlling synaptic plasticity is crucial for neural coding and memory.

Purpose of the Study:

  • To investigate which features of neural spike trains govern plasticity at cortical synapses.
  • To develop a quantitative model describing the interplay of firing rate and spike timing in synaptic plasticity.

Main Methods:

  • Utilized paired recordings in brain slices.
  • Developed a quantitative and predictive model for cortical plasticity.

Main Results:

  • Established a joint dependence of cortical plasticity on both the rate and relative timing of pre- and postsynaptic neuronal firing.

Related Experiment Videos

  • The developed model quantitatively predicts synaptic plasticity based on these spike train features.

    • Conclusions:

    • Synaptic plasticity at cortical synapses is controlled by a combination of firing rate and precise spike timing.
    • These findings suggest that both average firing rates and precise spike timing are important components of the neural code that can be stored and retrieved.