- Neural basis of vocal learning in songbirds
- Auditory physiology
- Speech perception
Professor, University of California, Berkeley
Department of Psychology
The overarching goal of our laboratory is to understand how complex natural sounds, such as human speech, music and animal vocalizations, are detected and recognized by the brain. We study the nature of the communication signals used by humans (speech and music) and animals using behavioral and statistical approaches. We study the auditory system of humans and songbirds using neurophysiological techniques. We use computational methods to generate theories of audition, to study sounds and to analyze our neural data.
Elie JE and Theunissen FE (2016). “The vocal repertoire of the domesticated zebra finch: a data-driven approach to decipher the information-bearing acoustic features of communication signals.” Anim Cogn. 19(2):285-315.
Elie JE and Theunissen FE (2015). “Meaning in the avian auditory cortex: neural representation of communication calls.” Eur J Neurosci. 41(5):546-67.
Lee T and Theunissen F (2015). “A single microphone noise reduction algorithm based on the detection and reconstruction of spectro-temporal features.” Proceedings of the Royal Society of London A: Mathematical, Physical and Engineering Sciences, 471(2184).
Amin N, Gastpar M, and Theunissen FE (2013). “Selective and efficient neural coding of communication signals depends on early acoustic and social environment.” PLoS One. 22;8(4):e61417.
Moore RC, Lee T, and Theunissen FE (2013). “Noise-invariant neurons in the avian auditory cortex: hearing the song in noise.” PLoS Comput Biol. 9(3):e1002942.