I am a lecturer (equiv. to Assist. Prof.) at the University of Birmingham at the Centre of Computational Neuroscience and Cognitive Robotics, within the School of Psychology.
The purpose of computational neuroscience is to study the computations performed by the brain and the central nervous system.
Implicit in this (by my definition) is the assumption that the brain performs computations i.e. information processing that serves a purpose. The processes in the brain are thus not presumed random but instead serve to somehow improve the conditions for the organism. It is therefore critical when analysing a neurological system to take into account what function it serves.
My own research specifically develops and tests models of optimal information processing in the human brain taking inspiration from both economics and machine learning (two disciplines very focused on optimality!)
To do this I use primarily Bayesian and Reinforcement Learning models to study human behaviour in e.g. perception and decision making, utilising experimental techniques such as psychophysics, fMRI and even pharmacology.
University of Birmingham
School of Psychology
Birmingham B15 2TT
Email: u dot beierholm at bham dot ac dot uk