dc.contributor.author
Meckenhäuser, Gundula
dc.contributor.author
Krämer, Stefanie
dc.contributor.author
Farkhooi, Farzad
dc.contributor.author
Ronacher, Bernhard
dc.contributor.author
Nawrot, Martin P.
dc.date.accessioned
2018-06-08T03:07:57Z
dc.date.available
2015-01-09T08:49:50.643Z
dc.identifier.uri
https://refubium.fu-berlin.de/handle/fub188/14552
dc.identifier.uri
http://dx.doi.org/10.17169/refubium-18744
dc.description.abstract
Acoustic communication plays a key role for mate attraction in grasshoppers.
Males use songs to advertise themselves to females. Females evaluate the song
pattern, a repetitive structure of sound syllables separated by short pauses,
to recognize a conspecific male and as proxy to its fitness. In their natural
habitat females often receive songs with degraded temporal structure.
Perturbations may, for example, result from the overlap with other songs. We
studied the response behavior of females to songs that show different signal
degradations. A perturbation of an otherwise attractive song at later
positions in the syllable diminished the behavioral response, whereas the same
perturbation at the onset of a syllable did not affect song attractiveness. We
applied naïve Bayes classifiers to the spike trains of identified neurons in
the auditory pathway to explore how sensory evidence about the acoustic
stimulus and its attractiveness is represented in the neuronal responses. We
find that populations of three or more neurons were sufficient to reliably
decode the acoustic stimulus and to predict its behavioral relevance from the
single-trial integrated firing rate. A simple model of decision making
simulates the female response behavior. It computes for each syllable the
likelihood for the presence of an attractive song pattern as evidenced by the
population firing rate. Integration across syllables allows the likelihood to
reach a decision threshold and to elicit the behavioral response. The close
match between model performance and animal behavior shows that a spike rate
code is sufficient to enable song pattern recognition.
en
dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
dc.subject.ddc
500 Naturwissenschaften und Mathematik::570 Biowissenschaften; Biologie
dc.title
Neural representation of calling songs and their behavioral relevance in the
grasshopper auditory system
dc.type
Wissenschaftlicher Artikel
dcterms.bibliographicCitation
Frontiers in Systems Neuroscience. - 8 (2014), Artikel Nr. 183
dcterms.bibliographicCitation.doi
10.3389/fnsys.2014.00183
dcterms.bibliographicCitation.url
http://dx.doi.org/10.3389/fnsys.2014.00183
refubium.affiliation
Biologie, Chemie, Pharmazie
de
refubium.mycore.fudocsId
FUDOCS_document_000000021548
refubium.note.author
Der Artikel wurde in einer Open-Access-Zeitschrift publiziert.
refubium.resourceType.isindependentpub
no
refubium.mycore.derivateId
FUDOCS_derivate_000000004337
dcterms.accessRights.openaire
open access