Here's a tentative list of topics (chapters refer
to the Dayan and Abbott textbook):
Date |
Topic |
Reading |
Presenter |
April 2 |
Introduction and Basic Neurobiology |
Read lecture slides |
Raj |
April 4 |
Neural Encoding: Spikes, Tuning Curves,
and Linear/Nonlinear Encoding Models |
Chaps. 1 and 2 |
Adrienne |
April 9 |
Neural Decoding and Signal Detection Theory |
Chap. 3 |
Adrienne |
April 11 |
Guest Lecture: Noisy Integration and Signal Detection in Neurons |
Read lecture slides |
Fred Rieke (PBIO) |
April 16 |
Population Codes and Bayesian Decoding |
Chap. 3 |
Adrienne |
April 18 |
Information Theory and Neural Coding |
Chap. 4 |
Adrienne |
April 23 |
Biophysical Modeling of Single Neurons |
Chap. 5 |
Adrienne |
April 25 |
Dendritic Computation and Reduced Neuron Models |
Chaps. 5, 6 and lecture slides |
Adrienne |
April 30 |
Synapse and Network Models |
Chaps. 5 and 7 |
Raj |
May 2 |
Guest Lecture: Modeling Visual Cortical Neurons and Networks |
Read lecture slides |
Wyeth Bair (BIOSTR) |
May 7 |
Special Lecture: Neural Decoding for Brain-Computer Interfacing |
Read lecture slides |
Jeremiah Wander |
May 9 |
Feedforward and Recurrent Networks |
Chap. 7 |
Raj |
May 14 |
Plasticity and Learning in Networks |
Chap. 8 |
Raj |
May 16 |
Dynamics of Neural Populations (Guest Lecture) |
Read lecture slides |
Eric Shea-Brown (AMATH) |
May 21 |
Unsupervised and Supervised Learning |
Chaps. 8 and 10 |
Raj |
May 23 |
Classical Conditioning and Reinforcement Learning |
Chap. 9 |
Raj |
May 28 |
Guest Lecture: Operant Conditioning for Brain-Computer Interfacing |
Read lecture slides |
Eb Fetz (PBIO) |
May 30 |
Course Review |
Read lecture slides |
Raj and Adrienne |
June 4 |
No class: Meet with course staff or work on group project |
|
|
June 6 |
No class: Meet with course staff or work on group project |
|
|
June 10, Monday, 10:30am-12:20pm |
Group project presentations (written reports due via email to Raj and Adrienne before June 11 midnight) |
|
Student teams |