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Lectures will comprise of slides plus white-board based discussions. The schedule of lecture topics and weekly reading assignments can be found here.
Lecture Slides and Reading:
03/29/2011 Introduction and Basic Neurobiology
03/31/2011 What is the Neural Code?
04/05/2011 Functional Models of Neural Computation. Related papers: 1, 2, 3.
04/07/2011 Neural Decoding
04/12/2011 Noisy Integration and Signal Detection in Neurons (Fred Rieke)
04/14/2011 Information Theory and Neural Coding. Related papers: 1, 2, 3, 4.
04/19/2011 Biophysical Models of Neurons and Synapses. Related papers: 1, 2, 3.
04/21/2011 Dendritic Computation. Related papers: 1, 2.
04/26/2011 Dynamics of Single Neurons (On-board lecture). Related articles on Scholarpedia.
04/28/2011 Network Models
05/03/2011 Recurrent Networks
05/05/2011 Eric Shea-Brown's Guest Lecture
05/10/2011 Learning (the Hebb way)
05/12/2011 Unsupervised Learning. Related papers: 1, 2.
05/17/2011 From Unsupervised to Supervised Learning. Related papers: 1, 2, 3. Perceptron Applet.
05/19/2011 From Supervised to Reinforcement Learning. Related papers: 1, 2, 3, 4, 5. Reinforcement learning demo.
05/31/2011 Decision Making (Guest lecture by Mike Shadlen)
06/02/2011 Course Summary
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