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Main research interests:
- Auditory-scene analysis
and its neural basis
What goes on in our brain when we follow someone's
voice in a
crowd, or a violin in the orchestra? How does our ability to attend
selectively to a sound source -
while ignoring others - come about? Why do hearing -impaired
individuals have enormous difficulties with
this? How can we build machines that mimic this elusive ability?
- Pitch perception and its neural basis
Pitch is one of the most important perceptual attributes
of sounds. It plays a crucial role in music (melody), speech (prosody),
and
auditory-scene analysis (we rely on it to track a voice amid
others). Our seemingly effortless ability to perceive pitch belies the
complexity of the underlying mechanisms.
- Mathematical models of perception and of
its relationship with neural response
Mathematical models play an increasingly important role in
psychology
and neuroscience. Bayesian probability, statistical
decision theory,
and signal-detection theory provide a useful and principled
framework for studies of auditory perception and of its relationship
with neural activity.
For additional information, see: Publications
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