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.
References
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Dates
Type | When |
---|---|
Created | 23 years, 1 month ago (July 27, 2002, 7:56 a.m.) |
Deposited | 4 years, 5 months ago (March 12, 2021, 4:47 p.m.) |
Indexed | 4 months, 3 weeks ago (April 12, 2025, 1:47 a.m.) |
Issued | 25 years, 2 months ago (July 1, 2000) |
Published | 25 years, 2 months ago (July 1, 2000) |
Published Print | 25 years, 2 months ago (July 1, 2000) |
@article{Maass_2000, title={A Model for Fast Analog Computation Based on Unreliable Synapses}, volume={12}, ISSN={1530-888X}, url={http://dx.doi.org/10.1162/089976600300015303}, DOI={10.1162/089976600300015303}, number={7}, journal={Neural Computation}, publisher={MIT Press - Journals}, author={Maass, Wolfgang and Natschläger, Thomas}, year={2000}, month=jul, pages={1679–1704} }