Mistuning detection performance of ferrets in a go/no-go task | Zendy

Natsumi Y. Homma | Zendy; Victoria M. Bajo | Zendy; Max F. K. Happel | Zendy; Fernando R. Nodal | Zendy; Andrew J. King | Zendy

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Mistuning detection performance of ferrets in a go/no-go task

Author(s) -

Natsumi Y. Homma,

Victoria M. Bajo,

Max F. K. Happel,

Fernando R. Nodal,

Andrew J. King

Publication year - 2016

Publication title -

the journal of the acoustical society of america

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.619

H-Index - 187

eISSN - 1520-8524

pISSN - 0001-4966

DOI - 10.1121/1.4954378

Subject(s) - mistuning , sensitivity (control systems) , computer science , basis (linear algebra) , task (project management) , harmonics , signal (programming language) , perception , speech recognition , degree (music) , harmonic , acoustics , mathematics , psychology , physics , vibration , neuroscience , engineering , geometry , systems engineering , quantum mechanics , voltage , electronic engineering , programming language

The harmonic structure of sounds is an important grouping cue in auditory scene analysis. The ability of ferrets to detect mistuned harmonics was measured using a go/no-go task paradigm. Psychometric functions plotting sensitivity as a function of degree of mistuning were used to evaluate behavioral performance using signal detection theory. The mean (± sem) threshold for mistuning detection was 0.8±0.1 Hz, with sensitivity indices and reaction times depending on the degree of mistuning. These data provide a basis for investigation of the neural basis for the perception of complex sounds in ferrets, an increasingly used animal model in auditory research.

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