Neural Computation: Population Coding of High-Level Representations¶
Dates: | Thursday, August 18 and Friday, August 19 |
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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.
Sponsors¶
Sponsored by the Center for Cognitive Neuroscience, the Neukom Institute for Computational Sciences, and the Deans .