Computational Neuroscience

Computational Neuroscience is a branch of neuroscience which employs mathematical models, theoretical analysis and abstractions of the brain to understand the principles that govern the development, structure, physiology, and cognitive abilities of the nervous system. Computational neuroscience focuses on the description of biologically plausible neurons and their physiology and dynamics, and it is therefore not concerned with biologically unrealistic disciplines such as connectivity, machine learning, artificial neural networks, artificial intelligence, and computational learning theory. 

This study track is intended for those with either a background in neurobiology or informatics looking to gain a basic understanding of computational neuroscience.

Introduction to computational neuroscience

How to gain the recommended background knowledge for success in computational neuroscience
Cajal Programme

Cajal Course in Computational Neuroscience

The CAJAL computational neuroscience courses are held at the Champalimaud Centre for the Unknown, Lisbon, Portugal. They are part of the CAJAL Advanced Neuroscience Training Programme, which offers state-of-the-art hands-on training courses in neuroscience.