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DTSTART;TZID=America/New_York:20221202T090000
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SUMMARY:Bharath Chandrasekaran (University of Pittsburgh)
DESCRIPTION:\n"Neural Systems Underlying Speech Categorization"\n\nDr. B
	harath Chandrasekaran\, Professor and Vice Chair of Research in the Depa
	rtment of Communication Science and Disorders\, University of Pittsburgh
	\n\nFriday\, December 2\, 9:00–10:30 a.m. EST\, 127 Moore Building and v
	irtually via Zoom\n\nSpeech signals are multidimensional\, acoustically 
	variable\, and temporally ephemeral. A significant computational challen
	ge in speech perception (and more broadly\, audition) is categorization\
	, that is\, mapping continuous\, multidimensional\, and variable acousti
	c signals into discrete\, behavioral equivalence classes. Despite the en
	ormity of this computational challenge\, native speech perception is rap
	id and automatic. In contrast\, learning novel speech categories is effo
	rtful\, and is considered a challenging computational task for the matur
	e brain. In this talk\, Dr. Chandrasekaran elucidate mechanisms underlyi
	ng how novel speech categories are acquired and represented in the matur
	e brain. He will demonstrate that (1) neural representations of novel sp
	eech categories arise within a few hundred trials in the adult associati
	ve auditory cortex\, (2) pre-attentive signal reconstruction in the earl
	y auditory system is subject to behaviorally relevant experience-depende
	nt plasticity\, and (3) the robustness of structural and functional conn
	ectivity within the sound-to- reward cortico-striatal stream relate to i
	ndividual differences in learning outcome. Finally\, he will discuss ong
	oing experiments that leverage neurobiology to design optimal behavioral
	 training and targeted interventions.\n\nFor more details: https://event
	s.la.psu.edu/event/bharath-chandrasekaran-university-of-pittsburgh/
X-ALT-DESC;FMTTYPE=text/html:<html><head></head><body><p><strong>"Neural
	 Systems Underlying Speech Categorization"</strong></p><p><strong>Dr. Bh
	arath Chandrasekaran, Professor and Vice Chair of Research in the Depart
	ment of Communication Science and Disorders, University of Pittsburgh</s
	trong></p><p><strong>Friday, December 2, 9:00–10:30 a.m. EST, 127 Moore 
	Building </strong><strong>and virtually via Zoom</strong></p><p>Speech s
	ignals are multidimensional, acoustically variable, and temporally ephem
	eral. A significant computational challenge in speech perception (and mo
	re broadly, audition) is categorization, that is, mapping continuous, mu
	ltidimensional, and variable acoustic signals into discrete, behavioral 
	equivalence classes. Despite the enormity of this computational challeng
	e, native speech perception is rapid and automatic. In contrast, learnin
	g novel speech categories is effortful, and is considered a challenging 
	computational task for the mature brain. In this talk, Dr. Chandrasekara
	n elucidate mechanisms underlying how novel speech categories are acquir
	ed and represented in the mature brain. He will demonstrate that (1) neu
	ral representations of novel speech categories arise within a few hundre
	d trials in the adult associative auditory cortex, (2) pre-attentive sig
	nal reconstruction in the early auditory system is subject to behavioral
	ly relevant experience-dependent plasticity, and (3) the robustness of s
	tructural and functional connectivity within the sound-to- reward cortic
	o-striatal stream relate to individual differences in learning outcome. 
	Finally, he will discuss ongoing experiments that leverage neurobiology 
	to design optimal behavioral training and targeted interventions.</p><p>
	For more details: <a href='https://events.la.psu.edu/event/bharath-chand
	rasekaran-university-of-pittsburgh/'>https://events.la.psu.edu/event/bha
	rath-chandrasekaran-university-of-pittsburgh/</a></p></body></html>
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