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  Emergence of transformation-tolerant representations of visual objects in rat lateral extrastriate cortex

Tafazoli, S., Safaai, H., De Franceschi, G., Rosselli, F. B., Vanzella, W., Riggi, M., et al. (2017). Emergence of transformation-tolerant representations of visual objects in rat lateral extrastriate cortex. eLife, 6: e22794. doi:10.7554/eLife.22794.

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Tafazoli_2017_Emergence.pdf (Verlagsversion), 4MB
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Tafazoli, S., Autor
Safaai, H., Autor
De Franceschi, G., Autor
Rosselli, Federica Bianca1, Autor
Vanzella, W., Autor
Riggi, M., Autor
Buffolo, F., Autor
Panzeri, S., Autor
Zoccolan, D., Autor
Affiliations:
1Department of Behavior and Brain Organization, Center of Advanced European Studies and Research (caesar), Max Planck Society, Ludwig-Erhard-Allee 2, 53175 Bonn, DE, ou_2173678              

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 Zusammenfassung: Rodents are emerging as increasingly popular models of visual functions. Yet, evidence that rodent visual cortex is capable of advanced visual processing, such as object recognition, is limited. Here we investigate how neurons located along the progression of extrastriate areas that, in the rat brain, run laterally to primary visual cortex, encode object information. We found a progressive functional specialization of neural responses along these areas, with: (1) a sharp reduction of the amount of low-level, energy-related visual information encoded by neuronal firing; and (2) a substantial increase in the ability of both single neurons and neuronal populations to support discrimination of visual objects under identity-preserving transformations (e.g., position and size changes). These findings strongly argue for the existence of a rat object-processing pathway, and point to the rodents as promising models to dissect the neuronal circuitry underlying transformation-tolerant recognition of visual objects.

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Sprache(n): eng - English
 Datum: 2017-04-11
 Publikationsstatus: Online veröffentlicht
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 Ort, Verlag, Ausgabe: -
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 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.7554/eLife.22794.
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Titel: eLife
Genre der Quelle: Zeitschrift
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Ort, Verlag, Ausgabe: Cambridge : eLife Sciences Publications
Seiten: - Band / Heft: 6 Artikelnummer: e22794 Start- / Endseite: - Identifikator: Anderer: 2050-084X
CoNE: https://pure.mpg.de/cone/journals/resource/2050-084X