Paper Info
Title
On the relation between bursts and dynamic synapse properties: a modulation-based ansatz.
Abstract
When entering a synapse, presynaptic pulse trains are filtered according to the recent pulse history at the synapse and also with respect to their own pulse time course. Various behavioral models have tried to reproduce these complex filtering properties. In particular, the quantal model of neurotransmitter release has been shown to be highly selective for particular presynaptic pulse patterns. However, since the original, pulse-iterative quantal model does not lend itself to mathematical analysis, investigations have only been carried out via simulations. In contrast, we derive a comprehensive explicit expression for the quantal model. We show the correlation between the parameters of this explicit expression and the preferred spike train pattern of the synapse. In particular, our analysis of the transmission of modulated pulse trains across a dynamic synapse links the original parameters of the quantal model to the transmission efficacy of two major spiking regimes, that is, bursting and constant-rate ones.
Year
DOI
Venue
2009
10.1155/2009/658474
Comp. Int. and Neurosc.
Keywords
Field
DocType
dynamic synapse property,pulse-iterative quantal model,various behavioral model,modulation-based ansatz,recent pulse history,modulated pulse train,dynamic synapse,comprehensive explicit expression,presynaptic pulse train,quantal model,own pulse time course,particular presynaptic pulse pattern,bioinformatics,biomedical research
Ansatz,Bursting,Synapse,Spike train,Computer science,Filter (signal processing),Modulation,Pulse (signal processing),Artificial intelligence,Machine learning
Journal
Volume
ISSN
Citations 
2009,
1687-5273
1
PageRank 
References 
Authors
0.40
7
3
Name
Order
Citations
PageRank
Christian Mayr17215.71
Johannes Partzsch28914.56
Rene Schüffny3244.95