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Details of Grant 

EPSRC Reference: EP/C510771/1
Title: Dynamics and control for assemblies of coupled oscillators: adaption, synchronization and computation
Principal Investigator: Ashwin, Professor P
Other Investigators:
Townley, Professor S
Researcher Co-Investigators:
Project Partners:
Department: Mathematical Sciences
Organisation: University of Exeter
Scheme: Standard Research (Pre-FEC)
Starts: 01 August 2005 Ends: 31 January 2009 Value (£): 219,915
EPSRC Research Topic Classifications:
Non-linear Systems Mathematics
EPSRC Industrial Sector Classifications:
No relevance to Underpinning Sectors
Related Grants:
Panel History:  
Summary on Grant Application Form
In neural systems, a large number of similar dynamically active cells (oscillators) are coupled together in such a way that one can perform computational tasks. Although neural networks have been very successful at using the analogy with neural systems especially for interpolation and fitting, so far there has however been comparatively little success at understanding exactly how groups of cells perform computing other than for quite specific functions. In particular one would like to be able to understand the computational abilities of networks of simple oscillators in such questions as: how do they encode memory states over long and short term, and what are the dynamics that lead to rapid decision making based on inputs from a very large number of sources.This project aims to use recent developments in the understanding of coupled oscillator dynamics for improved models of the dynamics in such systems. In particular, we will examine systems with robust heteroclinic attractors that allow one to encode many states efficiently and to switch between them rapidly. In doing so we will provide new modelling, interpretation and prediction tools for neural processing systems.
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Organisation Website: http://www.ex.ac.uk