The HaxbyLab@Dartmouth

Neural Computation: Population Coding of High-Level Representations

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Neural Computation: Population Coding of High-Level Representations

Dates:Thursday, August 18 and Friday, August 19
Times:9:00am-5:00pm
Address:Occom’s commons, Goldstein Hall (see Workshop map and Campus map)
Contact:Courtney Rogers
Full Schedule:PDF, DOCX
Navigation:The theme | Highlights | Speakers | Discussant | Events | Sponsors

The theme

Computational approaches to modeling stimulus and cognitive spaces, how that information is encoded in neural activity, and how to decode measurements of neural activity to identify the information that is represented.

Highlights

Speakers

In alphabetical order, with the talk titles

Charles Cadieu (UC Berkeley)

Learning Intermediate-Level Representations of Form and Motion from Natural Movies

Ed Connor (Johns Hopkins)

Neural coding of object structure in the ventral visual pathway

Jim DiCarlo (MIT)

Untangling object recognition: Which neuronal population codes can explain human object recognition performance?

Jack Gallant (UC Berkeley)

Using voxel-wise encoding models to discover brain representations and to decode brain activity

Jim Haxby (Dartmouth)

Building common, high-dimensional models of neural representational spaces

Nikolaus Kriegeskorte (Cambridge CBU)

Representational similarity analysis of visual-object population codes

Tom Mitchell (CMU)

What neural activity encodes about stimuli, where and when

Alice O’Toole (UT Dallas)

Understanding neural representation of facial identity, race, and viewpoint: Constraining the neural with the perceptual

Tomaso Poggio (MIT)

The computational magic of the ventral stream: Towards a theory

Eero Simoncelli (NYU)

Metamers of the ventral stream

Discussant

Hervé Abdi (UT Dallas)

Events

Wednesday, August 17, 6:00–10:00pm – Welcome reception
Dartmouth Outing Club at Occom Pond, with catering provided by Maple Street Catering.

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