Introduction to Computational Neuroscience – Tutorials (M.Sc.)

Tutorials focusing on practical implementation in Python of concepts covered during the lecture Introduction to Computational Neuroscience. Topics included neural coding, rate neuronal models, spike-timing and rate-based plasticity, dimensionality reduction, and reinforcement learning.

Presented 8 out of 13 (1.5h/week) tutorials

Tutorial material can be found here: tutorial notebooks (all material was created during the previous year by Sebastian Onasch)
I was responsible and presented from tutorial 5 onward + one extra tutorial I created on introduction to dynamical systems

Co-lecturer: Dr. Andre Ferreira Castro