Back
Full-text
Journal article

Cross-intensity functions and the estimate of spike-time jitter.

  • Hahnloser RH Institute of Neuroinformatics UZH/ETHZ, Winterthurerstrasse 190, 8057, Zürich, Switzerland. rich@ini.phys.ethz.ch
  • 2007-03-28
Published in:
  • Biological cybernetics. - 2007
Animals
Confidence Intervals
Kinetics
Models, Neurological
Nerve Net
Neurons
Probability
Receptors, AMPA
Sleep
Songbirds
Synapses
English Correlation measures are important tools for the analysis of simultaneously recorded spike trains. A well-known measure with probabilistic interpretation is the cross-intensity function (CIF), which is an estimate of the conditional probability that a neuron spikes as a function of the time lag to spikes in another neuron. The non-commutative nature of the CIF is particularly useful when different neuron classes are studied that can be distinguished based on their anatomy or physiology. Here we explore the utility of the CIF for estimating spike-time jitter in synaptic interactions between neuron pairs of connected classes. When applied to spike train pairs from sleeping songbirds, we are able to distinguish fast synaptic interactions mediated primarily by AMPA receptors from slower interactions mediated by NMDA receptors. We also find that spike jitter increases with the time lag between spikes, reflecting the accumulation of noise in neural activity sequences, such as in synfire chains. In conclusion, we demonstrate some new utility of the CIF as a spike-train measure.
Language
  • English
Open access status
green
Identifiers
Persistent URL
https://sonar.ch/global/documents/71688
Statistics
Document views: 26 File downloads:
  • Full-text: 0