Note: due to the COVID-19 pandemic, the course will be run fully online using zoom (see link below). You will need access to a computer on which you can write and run programs in the Python programming language. Slides and supplementary material can be found on OLAT. Additionally there will be a slack-channel for discussions during the week.

Zoom: https://us04web.zoom.us/j/945713098

OLAT: https://olat-ce.server.uni-frankfurt.de/olat/auth/RepositoryEntry/8154873858

Slack: https://app.slack.com/client/T0113G1S3EC/C0113EENWQ5

Overview

Theoretical Neuroscience II is building on the course Theoretical Neuroscience I. Topics include neural plasticity, network dynamics, criticality, pattern formation and self-organization in neural circuits, reservoir computing, unsupervised learning, reinforcement learning, active efficient coding

Format

This course will be very hands-on; we'll have four online meetings per day:

• 09:00 receive assignment for the day; possibly a lecture
• 11:00 Checking in to discuss questions/difficulties
• 14:00 Interim update; possibly a lecture
• 16:00 Presentation of results: two randomly picked participants present their code and results to the others