- Abstract:
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We use an established neural network model of the primate visual system to show how neurons might learn to encode the gender of faces. The model consists of a hierarchy of 4 competitive neuronal layers with associatively modifiable feedforward synaptic connections between successive layers. During training, the network was presented with many realistic images of male and female faces, during which the synaptic connections are modified using biologically plausible local associative learning ru...
Expand abstract - Publication status:
- Published
- Peer review status:
- Peer reviewed
- Version:
- Accepted manuscript
- Files:
-
-
(pdf, 1.4MB)
-
- Publisher copy:
- 10.1037/rev0000049
-
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- Publisher:
- American Psychological Association Publisher's website
- Journal:
- Psychological Review Journal website
- Publication date:
- 2017-01-05
- Acceptance date:
- 2016-10-06
- DOI:
- ISSN:
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1939-1471
- Pubs id:
-
pubs:673337
- URN:
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uri:20c9269a-e5cb-40b0-ac02-1e2b44c4acc0
- UUID:
-
uuid:20c9269a-e5cb-40b0-ac02-1e2b44c4acc0
- Local pid:
- pubs:673337
- Copyright holder:
- American Psychological Association
- Copyright date:
- 2017
- Notes:
- © 2017 American Psychological Association
Journal article
The neural representation of the gender of faces in the primate visual system: A computer modeling study
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