COSYNE TUTORIALS
COSYNE tutorials offer an exciting opportunity to dive deeper into key topics at the interface of systems neuroscience and computational theory. Each session is designed for researchers and students eager to expand their knowledge through hands-on learning and insights from experts in the field. From foundational methods to cutting-edge advancements, these tutorials will equip you with practical skills and a richer understanding of the theories shaping today's research.
COSYNE 2026 Tutorials will be announced this fall. In the meantime, you can explore past COSYNE Tutorials below.
2025: Foundations of Transformers in Neuroscience | Eva Dyer, Georgia Institute of Technology
Lecture | Materials
2024: Get some SLEAP: Automating behavior quantification using deep learning | Talmo Pereira, SALK
Lectures: Part I, Part II
2023: Methods in Reinforcement Learning for Neuroscience | Kimberly Stachenfeld, DeepMind
Materials | Lecture
2022: Spiking Neural Network Models in Neuroscience | Dan Goodman, Imperial College London
Lectures
2021: Recurrent Neural Networks for Neuroscience | Speaker Kanaka Rajan, Icahn School of Medicine at Mount Sinai
Materials | Lectures
2020: Normative approaches to understanding neural coding and behavior | Speaker: Ann Hermundstad
Lecture
2019: Bayesian modeling of behavior | Speaker: Wei Ji Ma, New York University
Materials | Lecture
2018: Statistical models for neural data: from GLMs to latent variables | Speaker: Jonathan Pillow, Princeton Neuroscience Institute
Slides | Lecture
COSYNE Tutorials are sponsored by the Simons Foundation.
