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Textbook: Theoretical
Neuroscience: Computational and Mathematical Modeling of Neural
Systems by Peter Dayan and Larry Abbott, MIT Press, 2001. Errata
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 tentative schedule:
| Date |
Topic |
Presenter |
| January 3 |
Introduction and Basic Neurobiology |
Raj |
| January 5 |
Neural Encoding I
Spike trains, firing rates, receptive fields, spike train statistics |
Adrienne |
| January 10 |
Neural Encoding II
Reverse correlation, descriptive neuron models |
Adrienne |
| January 12 |
Neural Decoding
Stimulus reconstruction and signal detection theory |
Adrienne |
| January 17 |
No Class (University Holiday) |
| January 19 |
Modeling Single Neurons and Synapses |
Raj |
| January 24 |
Compartmental and Biophysical Models of Neurons |
Kai |
| January 26 |
Population Coding |
Adrienne |
| January 31 |
Guest Lecture |
Mike Shadlen (PBIO) |
| February 2 |
Information Theory and Neural Coding
Mutual information, coding efficiency, entropy |
Adrienne |
| February 7 |
Network Models I |
Raj |
| February 9 |
Network Models II |
Raj |
| February 14 |
Learning Networks |
Raj |
| February 16 |
Unsupervised Learning |
Raj |
| February 21 |
No Class (University Holiday) |
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| February 23 |
Supervised Learning |
Raj |
| February 28 |
Guest Lecture: Learning and Memory |
Bharathi Jagadeesh (PBIO) |
| March 2 |
Reinforcement Learning |
Raj |
| March 7 |
Course Summary |
Raj |
| March 9 |
No Class: Work on projects |
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| March 14, 2:30-4:30pm |
Project presentations (written reports also due) |
Student teams |
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