CSE 528 Syllabus and Schedule

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Textbook: Required: Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems by Peter Dayan and Larry Abbott, MIT Press. We'll be covering selected topics from the Dayan and Abbott textbook, along with guest lectures on some of these topics from experts here at UW (see schedule below). Here's a tentative list of topics (chapters refer to the Dayan and Abbott textbook): Basic Neurobiology Neural Encoding: Spikes, Firing Rates, and Encoding Models (Chapters 1-2) Neural Decoding, Signal Detection Theory, and Population Codes (Chapter 3) Information Theory and Neural Coding (Chapter 4) Biophysical Neuron Models and Dendritic Computation (Chapters 5-6) Network Models: Feedforward and Recurrent Networks (Chapter 7) Synaptic Plasticity and Learning (Chapters 8-10) Many but not necessarily all of these topics will be covered. Here's the current schedule: Date Topic Reading Presenter January 4 Introduction and Basic Neurobiology Read lecture slides Raj January 6 Vectors, Eigenvectors and Dynamical Systems Lecture notes Tutorial videos Rich Pang January 11 Neural Encoding: Spikes, Tuning Curves, and Linear/Nonlinear Encoding Models Chaps. 1 and 2 Adrienne January 13 Neural Decoding and Signal Detection Theory Chap. 3 Adrienne January 18 Population Codes and Bayesian Decoding Chap. 3 Adrienne January 20 (NOTE LOCATION: HUB 250) Guest Lecture in HUB 250: Predictive Coding in the Primary Visual Cortex Michael Berry (Princeton) January 25 Guest Lecture: Data-Driven Modeling of Neural Systems Bing Brunton (BIO) January 27 Information Theory and Neural Coding Chap. 4 Rich Pang February 1 Biophysical Modeling of Single Neurons Chap. 5 Adrienne February 3 Dendritic Computation and Reduced Neuron Models Chaps. 5, 6 and lecture slides Adrienne February 8 Synapse and Network Models Chaps. 5 and 7 Raj February 10 Feedforward and Recurrent Networks Chap. 7 Raj February 15 Guest Lecture: Collective Activity and Population Codes Eric Shea-Brown (AMATH) February 17 Plasticity and Learning in Networks Chap. 8 Raj February 22 Unsupervised and Supervised Learning Chaps. 8 and 10 Raj February 24 Guest Lecture: Inducing Plasticity with Brain-Computer Interfaces Stavros Zanos (PBIO) March 1 Classical Conditioning and Reinforcement Learning Chap. 9 Raj March 3 Course Review Read lecture slides Raj and Adrienne March 8 Group project presentations I Student teams March 10 Group project presentations II Student teams March 12 Written reports due via email to Raj, Adrienne, and Rich before March 12 midnight Student teams

	Department of Computer Science & Engineering University of Washington Box 352350 Seattle, WA  98195-2350 (206) 543-1695 voice, (206) 543-2969 FAX [comments to rao@cs.washington.edu]