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Textbook: 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 textbook, based on the composition and interests of the class. We will also have guest lectures on some of these topics from experts here at UW. Here's a tentative list of topics:
- Basic Neurobiology
- Neural Encoding: Spikes, Firing Rates, and Receptive Fields (Chapters 1-2)
- Neural Decoding and Population Codes (Chapter 3)
- Information Theory (Chapter 4)
- Single Neurons: Integrate-and-Fire and Compartmental (Chapters 5-6)
- Network Models: Feedforward and Recurrent Networks (Chapter 7)
- Synaptic Plasticity and Learning (Chapters 8-9)
Many but not necessarily all of these topics will be covered (as time
permits). Here's the current schedule:
| Date |
Topic |
Presenter |
| March 27 |
Introduction and Basic Neurobiology |
Raj |
| March 29 |
Neural Encoding I
Spike trains, firing rates, receptive fields, spike train statistics |
Adrienne |
| April 3 |
Neural Encoding II
Reverse correlation, descriptive neuron models |
Adrienne |
| April 5 |
Guest Lecture |
Fred Rieke (PBIO) |
| April 10 |
Neural Decoding
Stimulus reconstruction and signal detection theory |
Adrienne |
| April 12 |
Modeling Single Neurons and Synapses |
Adrienne |
| April 17 |
Compartmental and Biophysical Models of Neurons |
Brian |
| April 19 |
Guest Lecture |
Mike Shadlen (PBIO) |
| April 24 |
Population Coding |
Adrienne |
| April 26 |
Information Theory and Neural Coding
Mutual information, coding efficiency, entropy |
Adrienne |
| May 1 |
Network Models I |
Raj |
| May 3 |
Network Models II |
Raj |
| May 8 |
Learning Networks |
Raj |
| May 10 |
Unsupervised Learning |
Raj |
| May 15 |
Supervised Learning |
Raj |
| May 17 |
Reinforcement Learning |
Raj |
| May 22 |
Guest Lecture: Learning and Memory |
Bharathi Jagadeesh (PBIO) |
| May 24 |
Course Summary |
Raj |
| May 29 |
No Class: Work on projects |
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| May 31 |
No Class: Work on projects |
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| June 4, Monday, 10:30-12:20pm |
Project presentations (written reports also due) |
Student teams |
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