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  Neural responses to natural sounds in the auditory midbrain: A model comparison

Lyzwa, D. (2015). Neural responses to natural sounds in the auditory midbrain: A model comparison. Neural Networks (IJCNN). doi:10.1109/IJCNN.2015.7280730.

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 Urheber:
Lyzwa, Dominika1, Autor           
Affiliations:
1Department of Nonlinear Dynamics, Max Planck Institute for Dynamics and Self-Organization, Max Planck Society, DE, ou_2063286              

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 Zusammenfassung: Abstract-The inferior colliculus (IC) is the main converging
station in the auditory midbrain and important for processing
of complex sounds. However, the functional mapping of natural
complex sounds to its neural representation is not yet very well
understood, and good modeling approaches would be useful.
To evaluate prediction models, we use recordings from groups
of neurons in the Ie of guinea pigs which were acoustically
presented a set of 11 conspecific vocalizations. The different
vocalizations display various envelope types and spectral contents.
Using cross-correlation, we compare the predicted and recorded
temporal neural responses for two approaches. The first model is
a modification of the biophysically detailed Meddis model, and the
second one is a filtering approach around the neuron's preferred
frequency. Surprisingly, we find that for responses to natural
sounds from groups of neurons, the filtering approach yields
better predictions than the biophysically detailed model. Thus,
the collective, integrated response can be well described by a
frequency-band selective representation.

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Sprache(n): eng - English
 Datum: 2015
 Publikationsstatus: Online veröffentlicht
 Seiten: -
 Ort, Verlag, Ausgabe: -
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 Art der Begutachtung: -
 Identifikatoren: DOI: 10.1109/IJCNN.2015.7280730
BibTex Citekey: Lyzwa2015
 Art des Abschluß: -

Veranstaltung

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Titel: International Joint Conference on Neural Networks 2015
Veranstaltungsort: Killarney
Start-/Enddatum: 2015-07-12 - 2015-07-17

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Titel: Neural Networks (IJCNN)
Genre der Quelle: Zeitschrift
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Ort, Verlag, Ausgabe: -
Seiten: 7 Band / Heft: - Artikelnummer: - Start- / Endseite: - Identifikator: -