Computational Neuroscience and Neuroinformatics

In computational neuroscience and neuroinformatics we study how the brain processes information. A major goal is to understand how, in contrast to most computer systems, the brain is so robust and adaptive. These insights will be important to build better future hardware and software. At the same time, tools from informatics such as image analysis, computer simulation, and machine learning are essential to accelerate neuroscientific discovery.

Faculty

• David Willshaw: Computational models of development of the nervous system
• James A. Bednar: Simulations of the development of the visual cortex
• Peggy Seriès: Bayesian approaches to cognition and perception
• Mark van Rossum: Synaptic plasticity, coding in the visual system, noise in the nervous system
• Douglas Armstrong: molecular neuroinformatics, network models, behavioural models

Joining us

Undergraduates: As an undergraduate in the School of Informatics, you can do projects in our institute.

MSc students: You should apply directly to the School for information. Once you are a student you can follow the courses and do projects in our institute.

PhD students: We host the Neuroinformatics and Computational Neuroscience DTC, which is the UK's largest graduate programme in this area, and are part of the European Eurospin Erasmus Mundus programme in neuroinformatics.

Other: Please contact the individual researchers directly.

Events

• DTC Workshop Series
• The Neural Coding and Bayesian Methods Journal Club
• Neurons & Systems Journal Club

Classes

We teach a number of MSc courses in these subjects:

• Neural Computation
• Computational Neuroscience of Vision
• Computational Cognitive Neuroscience
• Neural Information Processing