The Center for Cognitive Neuroscience at Dartmouth and the Neukom Institute hosted the workshop, “Neural Computation: Population Coding of High-Level Representations”. The workshop, August 18 and 19, 2011 consisted of talks by about a dozen speakers with an emphasis on extensive discussion after each talk.
The theme of the workshop was computational approaches to modeling how complex stimuli are encoded in population responses and how to decode brain activity to identify the information content that is represented in population responses. The talks emphasized work in visual neuroscience but were not limited to visual representation.
In addition to the high-profile speakers, each speaker was invited to bring a junior member from their lab – grad student, post-doc, or junior faculty. A poster session to highlight the work of the junior colleagues was included as an effective way to enrich discussion and enable one-on-one discussions with senior investigators.
Videos of the speakers (in alphabetical order):
Learning Intermediate-Level Representations of Form and Motion from Natural Movies
Neural coding of object structure in the ventral visual pathway
Untangling object recognition: Which neuronal population codes can explain human object recognition performance?
Using voxel-wise encoding models to discover brain representations and to decode brain activity
Building common, high-dimensional models of neural representational spaces
Representational similarity analysis of visual-object population codes
What neural activity encodes about stimuli, where and when
Understanding neural representation of facial identity, race, and viewpoint: Constraining the neural with the perceptual
The computational magic of the ventral stream: Towards a theory
Metamers of the ventral stream
Last Updated: 5/7/12