Course materials for Advanced Topics in Theoretical Neuroscience 2025 at Center for Theoretical Neuoscience, Columbia University.

Topics and Speakers

January

• 1/22/25: Path Integrals and Chaotic RNNs – Owen Marschall
• 1/29/25: Biophysics Tricks for Computation – Salomon Muller

February

• 2/5/25: Representation Geometry in Task-Optimized Neural Networks – Bin Wang
• 2/12/25: Bayesian Theory of Neural Networks – Haozhe Shan
• 2/19/25: Bifurcation Analysis – Klavdia Zemlianova
• 2/26/25: Linear Transformers – Rainer Engelken

March

• 3/5/25: Task-Optimized Models of Brain Regions – Tahereh Toosi
• 3/12/25: Information Theory – Jeff Johnston
• 3/19/25: No class (Spring Break)
• 3/26/25: No class (COSYNE)

April

• 4/2/25: No class (COSYNE)
• 4/9/25: Synaptic Plasticity – Kris Wu
• 4/16/25: Connectivity motifs and their functional implications in recurrent neural networks – Samuel Muscinelli
• 4/23/25: Meta-Learning (part 1) – Kaushik Lakshminarasimhan
• 4/30/25: Meta-Learning (part 2) – Kaushik Lakshminarasimhan

May

• 5/7/25: Student Presentations