Detection and identification of speech sounds using cortical activity patterns

Highlights • New classifier uses cortical activity to locate and identify consonants in real time. • The classifier predicts the behavioral performance of rats on speech discrimination. • Rats can identify a target sound in a stream presented up to 10 syllables per second. • The temporal processing...

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Veröffentlicht in:	Neuroscience 2014-01, Vol.258, p.292-306
Hauptverfasser:	Centanni, T.M, Sloan, A.M, Reed, A.C, Engineer, C.T, Rennaker, R.L, Kilgard, M.P
Format:	Artikel
Sprache:	eng
Schlagworte:	Acoustic Stimulation Animals auditory cortex Auditory Cortex - physiology Auditory Perception - physiology Biological and medical sciences classifier coding Computer Simulation Discrimination (Psychology) - physiology Ear and associated structures. Auditory pathways and centers. Hearing. Vocal organ. Phonation. Sound production. Echolocation Electrodes, Implanted Female Fundamental and applied biological sciences. Psychology Neurology Neurons - physiology Neuropsychological Tests Normal Distribution Phonetics rat Rats Rats, Sprague-Dawley Signal Processing, Computer-Assisted Speech Perception - physiology Task Performance and Analysis temporal patterns Time Factors Vertebrates: nervous system and sense organs Wakefulness - physiology
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Zusammenfassung:	Highlights • New classifier uses cortical activity to locate and identify consonants in real time. • The classifier predicts the behavioral performance of rats on speech discrimination. • Rats can identify a target sound in a stream presented up to 10 syllables per second. • The temporal processing limit of rats for speech discrimination mimics that of humans. • Spatial smoothing of neural data can compensate for un-correlated neural recordings.
ISSN:	0306-4522 1873-7544
DOI:	10.1016/j.neuroscience.2013.11.030