ML Anthology

A Model for Fast Analog Computation Based on Unreliable Synapses

Wolfgang Maass, Thomas Natschläger
NeCo 2000 pp. 1679-1704
doi:10.1162/089976600300015303 /neco/2000/maass2000neco-model/

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.

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Cite

Text

Maass and Natschläger. "A Model for Fast Analog Computation Based on Unreliable Synapses." Neural Computation, 2000. doi:10.1162/089976600300015303

Markdown

[Maass and Natschläger. "A Model for Fast Analog Computation Based on Unreliable Synapses." Neural Computation, 2000.](https://mlanthology.org/neco/2000/maass2000neco-model/) doi:10.1162/089976600300015303

BibTeX

@article{maass2000neco-model,
  title     = {{A Model for Fast Analog Computation Based on Unreliable Synapses}},
  author    = {Maass, Wolfgang and Natschläger, Thomas},
  journal   = {Neural Computation},
  year      = {2000},
  pages     = {1679-1704},
  doi       = {10.1162/089976600300015303},
  volume    = {12},
  url       = {https://mlanthology.org/neco/2000/maass2000neco-model/}
}