Monthly
288 pp. per issue
6 x 9, illustrated
ISSN
0899-7667
E-ISSN
1530-888X
2014 Impact factor:
2.21

Neural Computation

July 1, 2000, Vol. 12, No. 7, Pages 1679-1704
(doi: 10.1162/089976600300015303)
© 2000 Massachusetts Institute of Technology
A Model for Fast Analog Computation Based on Unreliable Synapses
Article PDF (1.24 MB)
Abstract

We investigate through theoretical analysis and computer simulations the consequences of unreliable synapses for fast analog computations in networks of spiking neurons, with analog variables encoded by the current firing activities of pools of spiking neurons. Our results suggest a possible functional role for the well-established unreliability of synaptic transmission on the network level. We also investigate computations on time series and Hebbian learning in this context of space-rate coding in networks of spiking neurons with unreliable synapses.