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02327nab a22002177a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
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CITU |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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20230223165841.0 |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
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td |
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220823b ||||| |||| 00| 0 eng d |
| 041 ## - LANGUAGE CODE |
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| Language code of text/sound track or separate title |
eng. |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
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| Preferred name for the person |
Minot, Thomas |
| Relator term |
author |
| 245 14 - TITLE STATEMENT |
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| Title |
The neural representation of the gender of faces in the primate visual system : |
| Remainder of title |
a computer modeling study |
| 264 #4 - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
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| Date of publication, distribution, etc |
2017 |
| 520 3# - SUMMARY, ETC. |
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| Summary, etc |
Abstract<br/><br/>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 rules. After training, we found that different subsets of output neurons have learned to respond exclusively to either male or female faces. With the inclusion of short range excitation within each neuronal layer to implement a self-organizing map architecture, neurons representing either male or female faces were clustered together in the output layer. This learning process is entirely unsupervised, as the gender of the face images is not explicitly labeled and provided to the network as a supervisory training signal. These simulations are extended to training the network on rotating faces. It is found that by using a trace learning rule incorporating a temporal memory trace of recent neuronal activity, neurons responding selectively to either male or female faces were also able to learn to respond invariantly over different views of the faces. This kind of trace learning has been previously shown to operate within the primate visual system by neurophysiological and psychophysical studies. The computer simulations described here predict that similar neurons encoding the gender of faces will be present within the primate visual system. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
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| Personal name |
Dury, Hannah L. |
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author |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
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| Personal name |
Eguchi, Akihiro |
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author |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
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| Personal name |
Humphreys, Glyn W. |
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author |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
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| Personal name |
Stringer, Simon M. |
| Relator term |
author |
| 773 0# - HOST ITEM ENTRY |
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| Title |
Psychological Review |
| Relationship information |
vol.124 no. 2: (March 2017), pages 154-167 |
| 942 ## - ADDED ENTRY ELEMENTS |
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| Source of classification or shelving scheme |
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| Item type |
JOURNAL ARTICLE |