Article
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
Status | Published |
---|---|
Publication date | 30/04/2009 |
Publication date online | 20/03/2009 |
URL | |
Publisher | Massachusetts Institute of Technology Press (MIT Press) |
Publisher URL | |
ISSN | 0899-7667 |
eISSN | 1530-888X |
People (1)
Emeritus Professor, Computing Science