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  Widespread and Opponent fMRI Signals Represent Sound Location in Macaque Auditory Cortex

Ortiz-Rios, M., Azevedo, F., Kuśmierek, P., Balla, D., Munk, M., Keliris, G., et al. (2017). Widespread and Opponent fMRI Signals Represent Sound Location in Macaque Auditory Cortex. Neuron, 93(4), 971-983. doi:10.1016/j.neuron.2017.01.013.

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Ortiz-Rios, M1, Autor           
Azevedo, FAC1, 2, Autor           
Kuśmierek, P, Autor
Balla, DZ1, 2, 3, Autor           
Munk, MH1, Autor           
Keliris, GA1, Autor           
Logothetis, NK1, 2, Autor           
Rauschecker, JP, Autor           
Affiliations:
1Department Physiology of Cognitive Processes, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497798              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794              
3Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497796              

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 Zusammenfassung: In primates, posterior auditory cortical areas are thought to be part of a dorsal auditory pathway that processes spatial information. But how posterior (and other) auditory areas represent acoustic space remains a matter of debate. Here we provide new evidence based on functional magnetic resonance imaging (fMRI) of the macaque indicating that space is predominantly represented by a distributed hemifield code rather than by a local spatial topography. Hemifield tuning in cortical and subcortical regions emerges from an opponent hemispheric pattern of activation and deactivation that depends on the availability of interaural delay cues. Importantly, these opponent signals allow responses in posterior regions to segregate space similarly to a hemifield code representation. Taken together, our results reconcile seemingly contradictory views by showing that the representation of space follows closely a hemifield code and suggest that enhanced posterior-dorsal spatial specificity in primates might emerge from this form of coding.

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 Datum: 2017-02
 Publikationsstatus: Erschienen
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 Identifikatoren: DOI: 10.1016/j.neuron.2017.01.013
BibTex Citekey: OrtizRiosAKBMKLR2017
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Titel: Neuron
Genre der Quelle: Zeitschrift
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Seiten: - Band / Heft: 93 (4) Artikelnummer: - Start- / Endseite: 971 - 983 Identifikator: -