Weill Cornell Medical College
Understanding the Computations in Primary Visual Cortex: Does Tweaking the Standard Model Suffice?
Wednesday 27th of May 2009 at 12:00pm
A central problem in systems neuroscience is to understand the nature of
cortical computations, and how they are implemented. Primary visual
cortex is an excellent model system for addressing these questions,
since its inputs are readily controlled and its anatomy is
well-understood. Most studies have suggested that neurons of primary
visual cortex can be modeled as a bank of feedforward filters and simple
nonlinearities. However, here we present evidence of widespread and
dramatic differences between the computations performed by real cortical
neurons and computations of models based on a feedforward cascade.
These differences suggest that a strongly recurrent network is an
appropriate basic framework for understanding cortical computations.
508-20 Evans Hall
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