Meetings:
Wednesdays, 10.15 - 11.45 am
Location:
Jerome L Greene Science Center, 6th floor room L6-087
Registration:
Please register via Courseworks
Schedule
Encoding and Decoding
- Jan 23 Intro (Fabio Stefanini) Lecture Exercise Notebook
- Jan 30 Linear & Logistic Regression (Ramon Nogueira, Josh Glaser) Material
- Feb 06 GLM & Nonlinear Regression (Ramon Nogueira, Josh Glaser) Material Notebook with Exercise
- Feb 13 Static Models for Dimensionality Reduction (Matt Whiteway) Material Notebook with Exercise
- Feb 20 Dynamic Models for Dimensionality Reduction (Shreya Saxena) Material
- Feb 27 Cosyne
- Mar 06 Cosyne
- Mar 13 Hackathon Encoding & Decoding
Mechanistic Models of Neural Circuits
- Mar 20 Intro. From Spiking Models to Population Rate Part I (Laureline Logiaco) Material more Material Exercise
- Mar 27 From Spiking Models to Population Rate Part II (Laureline Logiaco)
- Apr 03 Inhibition Stabilized Networks & Supralinear Stabilized Networks (Mario Dipoppa) Material
- Apr 10 Neural Variability in Rate Models, Spiking vs. Rate Models (Mario Dipoppa) Material
- Apr 17 Equilibrium Theory for Hopfield Model (Alessandro Ingrosso)
- Apr 24 Dynamic Mean Field Theory of Chaotic Rate Networks (Alessandro Ingrosso)
Learning in Recurrent Networks
- May 01 Intro. Learning in Recurrent Networks, Backprop Through Time (Rainer Engelken) Material Code in Flux/Julia Code in PyTorch/Python
- May 08 Least-Squares, RLS, FORCE, Kalman Filters (James Murray) Material Notebook with Exercise Solutions
- May 15 Dynamic Mean Field Theory for Low-Rank Static Solutions (Rainer Engelken) Material
- May 22 Control Theory for Low-Rank Static Solutions (James Murray) Material
- May 29 Hackathon/Mean-Field-athon
