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Details of Grant 

EPSRC Reference: EP/F033516/1
Title: Modular Neural Simulation with Reconfigurable Hardware
Principal Investigator: Shanahan, Professor M
Other Investigators:
Luk, Professor W
Researcher Co-Investigators:
Project Partners:
Department: Computing
Organisation: Imperial College London
Scheme: Standard Research
Starts: 01 September 2008 Ends: 29 February 2012 Value (£): 628,211
EPSRC Research Topic Classifications:
Artificial Intelligence System on Chip
EPSRC Industrial Sector Classifications:
Information Technologies
Related Grants:
Panel History:
Panel DatePanel NameOutcome
24 Jan 2008 ICT Prioritisation Panel (Technology) Announced
Summary on Grant Application Form
This project aims to: (1) provide a development environment for the modular design of complex, large scale neural networks, either for use in computational neuroscience, or for engineering major neural network applications, (2) explore techniques for efficiently and productively mapping such neural networks onto reconfigurable hardware by exploiting parallelism, reconfigurability and design re-use, and (3) demonstrate the resulting hardware and software capabilities by scaling up and accelerating a recently developed brain-inspired control architecture for cognitive robotics, as well as other applications.
Key Findings
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Potential use in non-academic contexts
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Impacts
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Summary
Date Materialised
Sectors submitted by the Researcher
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Project URL:  
Further Information:  
Organisation Website: http://www.imperial.ac.uk