Skip to main content

Lund University Publications

LUND UNIVERSITY LIBRARIES

Power function forgetting curves as an emergent property of biologically plausible neural network models

Sikström, Sverker LU orcid (1999) In International Journal of Psychology 34(6). p.460-464
Abstract

Empirical forgetting curve data have been shown to follow a power function. In contrast, many connectionist models predict either an exponential decay or flat forgetting curves. This paper simulates power function forgetting curves in a Hopfield network modified to incorporate the more biologically realistic assumptions of bounded weights and a distribution of learning rates. The modified model produces power function forgetting curves. The bounded weights introduce exponential decay for individual weights, and a power function forgetting curve when summing exponential decays with different learning rates. Because these assumptions are biologically reasonable, power function forgetting curves may be an emergent property of biological... (More)

Empirical forgetting curve data have been shown to follow a power function. In contrast, many connectionist models predict either an exponential decay or flat forgetting curves. This paper simulates power function forgetting curves in a Hopfield network modified to incorporate the more biologically realistic assumptions of bounded weights and a distribution of learning rates. The modified model produces power function forgetting curves. The bounded weights introduce exponential decay for individual weights, and a power function forgetting curve when summing exponential decays with different learning rates. Because these assumptions are biologically reasonable, power function forgetting curves may be an emergent property of biological networks. The results fit empirical data and indicate that forgetting curves restrict possible implementation of models of memory.

(Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
International Journal of Psychology
volume
34
issue
6
pages
5 pages
publisher
Psychology Press
external identifiers
  • scopus:0033269361
ISSN
0020-7594
DOI
10.1080/002075999399828
language
English
LU publication?
yes
id
56b9036a-98b2-40e8-bbae-0d29cdf2a1b5
date added to LUP
2021-11-04 14:26:15
date last changed
2022-02-02 01:05:48
@article{56b9036a-98b2-40e8-bbae-0d29cdf2a1b5,
  abstract     = {{<p>Empirical forgetting curve data have been shown to follow a power function. In contrast, many connectionist models predict either an exponential decay or flat forgetting curves. This paper simulates power function forgetting curves in a Hopfield network modified to incorporate the more biologically realistic assumptions of bounded weights and a distribution of learning rates. The modified model produces power function forgetting curves. The bounded weights introduce exponential decay for individual weights, and a power function forgetting curve when summing exponential decays with different learning rates. Because these assumptions are biologically reasonable, power function forgetting curves may be an emergent property of biological networks. The results fit empirical data and indicate that forgetting curves restrict possible implementation of models of memory.</p>}},
  author       = {{Sikström, Sverker}},
  issn         = {{0020-7594}},
  language     = {{eng}},
  number       = {{6}},
  pages        = {{460--464}},
  publisher    = {{Psychology Press}},
  series       = {{International Journal of Psychology}},
  title        = {{Power function forgetting curves as an emergent property of biologically plausible neural network models}},
  url          = {{http://dx.doi.org/10.1080/002075999399828}},
  doi          = {{10.1080/002075999399828}},
  volume       = {{34}},
  year         = {{1999}},
}