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Lectures will comprise of slides plus white-board based discussions. The schedule of lecture topics can be found here.
Lecture Slides and Reading:
03/31/2009 Introduction and Basic Neurobiology
04/02/2009 What is the Neural Code?
04/07/2009 Functional Models of Neural Computation
04/09/2009 Neural Decoding and Biophysical Models
04/14/2009 Dynamics of Single Neurons (Mike Famulare)
04/16/2009 Quantifying Spike-Timing Precision (Fred Rieke)
04/21/2009 Dynamics of Neural Populations (Eric Shea-Brown)
04/23/2009 Dendritic Computation
04/28/2009 Information Theory and Neural Coding
04/30/2009 Neural Decoding, Signal Detection Theory, and Bayesian Inference
05/05/2009 Network Models
05/07/2009 Recurrent Networks
05/12/2009 Learning Networks
05/21/2009 Unsupervised Learning
05/26/2009 Supervised Learning
06/02/2009 Reinforcement Learning
06/04/2009 Course Summary
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