Modeling memory: what do we learn from attractor neural networks?
Publication
, Conference
Brunel, N; Nadal, JP
Published in: C R Acad Sci III
1998
In this paper we summarize some of the main contributions of models of recurrent neural networks with associative memory properties. We compare the behavior of these attractor neural networks with empirical data from both physiology and psychology. This type of network could be used in models with more complex functions.
Duke Scholars
Published In
C R Acad Sci III
DOI
ISSN
0764-4469
Publication Date
1998
Volume
321
Issue
2-3
Start / End Page
249 / 252
Location
France
Related Subject Headings
- Plant Biology & Botany
- Neuronal Plasticity
- Nerve Net
- Models, Psychological
- Models, Neurological
- Memory
- Learning
- Humans
- Evolutionary Biology
- 31 Biological sciences
Citation
APA
Chicago
ICMJE
MLA
NLM
Brunel, N., & Nadal, J. P. (1998). Modeling memory: what do we learn from attractor neural networks? In C R Acad Sci III (Vol. 321, pp. 249–252). France. https://doi.org/10.1016/s0764-4469(97)89830-7
Brunel, N., and J. P. Nadal. “Modeling memory: what do we learn from attractor neural networks?” In C R Acad Sci III, 321:249–52, 1998. https://doi.org/10.1016/s0764-4469(97)89830-7.
Brunel N, Nadal JP. Modeling memory: what do we learn from attractor neural networks? In: C R Acad Sci III. 1998. p. 249–52.
Brunel, N., and J. P. Nadal. “Modeling memory: what do we learn from attractor neural networks?” C R Acad Sci III, vol. 321, no. 2–3, 1998, pp. 249–52. Pubmed, doi:10.1016/s0764-4469(97)89830-7.
Brunel N, Nadal JP. Modeling memory: what do we learn from attractor neural networks? C R Acad Sci III. 1998. p. 249–252.
Published In
C R Acad Sci III
DOI
ISSN
0764-4469
Publication Date
1998
Volume
321
Issue
2-3
Start / End Page
249 / 252
Location
France
Related Subject Headings
- Plant Biology & Botany
- Neuronal Plasticity
- Nerve Net
- Models, Psychological
- Models, Neurological
- Memory
- Learning
- Humans
- Evolutionary Biology
- 31 Biological sciences