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  Who is That? Brain Networks and Mechanisms for Identifying Individuals

Perrodin, C., Kayser, C., Abel, T., Logothetis, N., & Petkov, C. (2015). Who is That? Brain Networks and Mechanisms for Identifying Individuals. Trends in Cognitive Sciences, 19(12), 783-796. doi:10.1016/j.tics.2015.09.002.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-002A-4391-E Version Permalink: http://hdl.handle.net/21.11116/0000-0000-B498-9
Genre: Journal Article

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 Creators:
Perrodin, C1, 2, Author              
Kayser, C1, 2, Author              
Abel, TJ, Author
Logothetis, NK1, Author              
Petkov, CI1, Author              
Affiliations:
1Department Physiology of Cognitive Processes, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497798              
2Research Group Physiology of Sensory Integration, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497808              

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 Abstract: Social animals can identify conspecifics by many forms of sensory input. However, whether the neuronal computations that support this ability to identify individuals rely on modality-independent convergence or involve ongoing synergistic interactions along the multiple sensory streams remains controversial. Direct neuronal measurements at relevant brain sites could address such questions, but this requires better bridging the work in humans and animal models. Here, we overview recent studies in nonhuman primates on voice and face identity-sensitive pathways and evaluate the correspondences to relevant findings in humans. This synthesis provides insights into converging sensory streams in the primate anterior temporal lobe (ATL) for identity processing. Furthermore, we advance a model and suggest how alternative neuronal mechanisms could be tested.

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 Dates: 2015-12
 Publication Status: Published in print
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 Identifiers: DOI: 10.1016/j.tics.2015.09.002
BibTex Citekey: PerrodinKALP2015
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Title: Trends in Cognitive Sciences
Source Genre: Journal
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Pages: - Volume / Issue: 19 (12) Sequence Number: - Start / End Page: 783 - 796 Identifier: -