Dear All,
The CEU Department of Cognitive Science and the Center for Cognitive Computation (CCC)
invites you to the following talk.
Speaker: Gašper Tkačik (Institute of Science and Technology Austria)
Statistical analysis, optimality, and efficient attentional modulation
Abstract: This talk consists of two parts. In the first part, I will briefly outline a way
to unify normative (optimization) theories of biological system function with statistical
inference. This is achieved a coherent Bayesian framework that embeds a normative theory
into a family of maximum-entropy ‘‘optimization priors.’’ This family defines a smooth
interpolation between a data-rich inference regime and a data-limited prediction regime. I
will use simple examples from neuroscience to show how this framework allows one to
address a number of fundamental statistical challenges relating to inference in
high-dimensional, biological problems.
In the second part, I will present recent work on efficient sensory coding in systems with
top-down feedback. In a normative model of dynamic population coding in visual cortex, a
perceptual observer constantly and optimally tunes the sensory population to solve a
perceptual inference task while maintaining coding efficiency. This optimal behavior leads
to attention-like modulation and explains a number of seemingly disparate cortical
phenomena.
Time: 17:00, Monday, December 18., 2023.
Location: CEU, 1051 Budapest, Nádor u. 15, Room 202. and Zoom (Meeting ID: 995 5149
4059<https://ceu-edu.zoom.us/j/99551494059?pwd=ekxKZVVpS3FNekFvUFJQRmpWTVBadz09>
Passcode: 086066)
Chair: Máté Lengyel
Please, be informed that video/photo recording might take place at the event and the
edited version of the video material might be published to communicate or promote
CEU's activities. Please, find our Privacy Notice
here<https://www.ceu.edu/privacy>cy>.
Best regards,
Ildikó Varga
Department Coordinator (Budapest)
Department of Cognitive Science
[cid:e022cb9a-e42a-416e-adba-f0259e74797b]
H-1051 Budapest
Nador u. 15. FT room 404
tel: +36-1 327-3000 2941
http://www.ceu.edu<http://www.ceu.edu/>
http://cognitivescience.ceu.edu<http://cognitivescience.ceu.edu/>
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