Research themes

Developmental and Cognitive Neuroscience

Computational models of brain function play an important role in helping us understand the brain and behaviour.  Working with psychologists and biologists, we explore brain function through computational neuroscience models.

Topics include:

  • Activity-dependent synaptic and neuronal plasticity
  • Bottom-up and top-down processing
  • Cortical versus subcortical brain pathways
  • Neuronal structure and self-organization (structure, dynamics, and function)

Members

Computational Intelligence and Machine Learning

Computational intelligence embodies a wide range of techniques, from those that are inspired from physical, chemical, social and biological systems.  In this theme we investigate in computational environments natural intelligent systems at different levels, ranging from populations and societies, to nervous systems and brains, and to genes, proteins and metabolites.

Topics include:

  • Meta-modeling in evolution in dynamic environments, multi-objective optimization
  • Multi-objective evolutionary learning
  • Semi-supervised learning, graph-based learning, and activelearning

Members

Systems Biology and Morphogenetic Engineering

Natural techniques demonstrate how a variety of biological systems can organise and classify high dimensional and high volume data.  By looking at a wider variety of natural systems, we can understand different patterns of intelligence, while benefiting from their application to difficult real-world problems.

Topics include:

  • Organising principles in neural evolution (e.g. energy constraint)
  • In silico modeling, analysis and synthesis of genetic circuits
  • Morphogenetic self-organization of collective systems (e.g., mobile sensors, computing resources), structural design

Members

Contact us

Find us

Address
Department of Computer Science
Faculty of Engineering and Physical Sciences
University of Surrey
Guildford
Surrey
GU2 7XH