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  Physiologically inspired neural model for the prototype-referenced encoding of faces

Giese, M., & Leopold, D. (2004). Physiologically inspired neural model for the prototype-referenced encoding of faces. Poster presented at Thirteenth Annual Computational Neuroscience Meeting (CNS*2004), Baltimore, MD, USA.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0005-62DA-7 Version Permalink: http://hdl.handle.net/21.11116/0000-0005-62DB-6
Genre: Poster

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 Creators:
Giese, MA, Author              
Leopold, DA1, 2, Author              
Affiliations:
1Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794              
2Department Physiology of Cognitive Processes, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497798              

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 Abstract: Due to the lack of electrophysiological data the neural basis of the encoding of faces is largely unclear. We present a model for the neural encoding of face spaces that is based on new electrophysiological results. It reproduces important properties of the physiological data and shows that faces might be encoded exploiting a \em norm-based rather than an \em examplebased neural representation. This implies that the encoding exploits an internal representation of an average (norm) face that might be derived by averaging over the previous stimulus history.

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 Dates: 2004-07
 Publication Status: Published online
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Title: Thirteenth Annual Computational Neuroscience Meeting (CNS*2004)
Place of Event: Baltimore, MD, USA
Start-/End Date: 2004-07-18 - 2004-07-22

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Title: Thirteenth Annual Computational Neuroscience Meeting (CNS*2004)
Source Genre: Proceedings
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Pages: - Volume / Issue: - Sequence Number: 124 Start / End Page: 43 Identifier: -