Crossref journal-article
MIT Press - Journals
Neural Computation (281)
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.

Bibliography

Maass, W., & Natschläger, T. (2000). A Model for Fast Analog Computation Based on Unreliable Synapses. Neural Computation, 12(7), 1679–1704.

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)
Funders 0

None

@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} }