Meetings:

Wednesay, 10.00 - 11.30 am

Location:

L4.078 (will eventually be L5.084, but check email announcements) Jerome L. Greene Science Center, Broadway, New York, NY

Registration:

Please register via Courseworks, the course is also open to external guests

Schedule

Information theory

• Jan 25 Information theory (Jeff Johnston) Material
• Feb 01 Fisher information (Jeff Johnston)
• Feb 08 Gaussian Information bottleneck (Rainer Engelken)

Learning systems

• Feb 15 Expectation Maximization (Ji Xia)
• Feb 22 Reinforcement learning I (Kaushik Lakshminarasimhan)
• Mar 01 Reinforcement learning II (Kaushik Lakshminarasimhan)
• Mar 08 no session (Cosyne)
• Mar 15 no session (spring break)
• Mar 22 Feedforward architectures I (Samuel Muscinelli)
• Mar 29 Feedforward architectures II (Samuel Muscinelli)

Neural dynamics and computations

• Apr 05 Oscillations and Wilson-Cowan model (Patricia Cooney)
• Apr 12 Mean-field theory and perturbative approaches (Agostina Palmigiano)
• Apr 19 Low-rank neural networks I (Manuel Beiran)
• Apr 26 Low-rank neural networks II (Manuel Beiran)

• May 03 Single-neuron computations (Salomon Muller)

• 10 May Student presentations