Table of Contents

Broadband Coding with Dynamic Synapses

  1. John E. Lewis3,4
  1. 1Max Planck Institute for the Physics of Complex Systems, 01187 Dresden, Germany, and
  2. Departments of 2Physics and
  3. 3Biology and
  4. 4Center for Neural Dynamics, University of Ottawa, Ottawa, Ontario, Canada KIN 6N5
  1. Correspondence should be addressed to John E. Lewis, Department of Biology, University of Ottawa, 30 Marie-Curie, Ottawa, Ontario, Canada K1N 6N5. jlewis{at}uottawa.ca

Abstract

Short-term synaptic plasticity (STP) can significantly alter the amplitudes of synaptic responses in ways that depend on presynaptic history. Thus, it is widely assumed that STP acts as a filter for specific patterns of presynaptic inputs, and as a result can play key roles in neuronal information processing. To evaluate this assumption and directly quantify the effects of STP on information transmission, we consider a population of independent synaptic inputs to a model neuron. We show using standard information theoretic approaches that the changes in synaptic response amplitude resulting from STP interact with the related effects on fluctuations in membrane conductance, such that information transmission is broadband (no frequency-dependent filtering occurs), regardless of whether synaptic depression or facilitation dominates. Interestingly, this broadband transmission is preserved in the postsynaptic spike train as long as the postsynaptic neuron's baseline firing rate is relatively high; in contrast, low baseline firing rates lead to STP-dependent effects. Thus, background inputs that control the firing state of a postsynaptic neuron can gate the effects of STP on information transmission.