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Article

Wide-band information transmission at the calyx of Held

Details

Citation

Yang Z, Hennig MH, Postlethwaite M, Forsythe ID & Graham B (2009) Wide-band information transmission at the calyx of Held. Neural Computation, 21 (4), pp. 991-1017. http://www.mitpressjournals.org/loi/neco; https://doi.org/10.1162/neco.2008.02-08-714

Abstract
We use a mathematical model of the calyx of Held to explore information transmission at this giant glutamatergic synapse. The significant depression of the postsynaptic response to repeated stimulation in vitro is a result of various activity-dependent processes in multiple time scales, which can be reproduced by multiexponential functions in this model. When stimulated by Poisson-distributed spike trains the amplitude of the postsynaptic current varies considerably with the preceding interspike intervals. Here we quantify the information contained in the postsynaptic current amplitude about preceding interspike intervals and determine the impact of different pre- and postsynaptic factors on information transmission. The mutual information between presynaptic spike times and the amplitude of the postsynaptic response in general decreases as the mean stimulation rate increases, but remains high even at frequencies greater than 100 Hz, unlike at many neocortical synapses. The maintenance of information transmission is attributable largely to vesicle recycling rates at low frequencies of stimulation, shifting to vesicle release probability at high frequencies. Also at higher frequencies the synapse operates largely in a release ready mode in which most release sites contain a release-ready vesicle and release probabilities are low.

Keywords
computational neuroscience; short term synaptic dynamics; information theory; Artificial intelligence Computer programs; Neural networks Computer science; Fuzzy logic; Computational intelligence

Journal
Neural Computation: Volume 21, Issue 4

StatusPublished
Publication date30/04/2009
Publication date online20/03/2009
URL
PublisherMassachusetts Institute of Technology Press (MIT Press)
Publisher URL
ISSN0899-7667
eISSN1530-888X

People (1)

Professor Bruce Graham

Professor Bruce Graham

Emeritus Professor, Computing Science

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