| EPSRC Reference: |
GR/T11029/01 |
| Title: |
Non-linear Media based Computers: Chemical & Neuronal Networks through Machine Learning |
| Principal Investigator: |
Bull, Professor L |
| Other Investigators: |
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| Researcher Co-Investigators: |
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| Project Partners: |
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| Department: |
Faculty of Environment and Technology |
| Organisation: |
University of the West of England |
| Scheme: |
Standard Research (Pre-FEC) |
| Starts: |
01 December 2004 |
Ends: |
30 November 2008 |
Value (£): |
594,382
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| EPSRC Research Topic Classifications: |
| Biomedical neuroscience |
Fundamentals of Computing |
| Gas & Solution Phase Reactions |
New & Emerging Comp. Paradigms |
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Summary on Grant Application Form |
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There is growing interest in research into the development of hybrid wetware-silicon devices focused on exploiting their potential for 'non-linear computing'. The aim is to harness the as yet only partially understood intricate dynamics of non-linear media to perform complex 'computations' (potentially) more effectively than with traditional architectures and to further the understanding of how such systems function. The area provides the prospect of radically new forms of machines and is enabled by improving capabilities in wetware-silicon interfacing. The research proposed here will present an approach by which networks of non-linear media - neurons and reaction-diffusion systems - can be produced to achieve a user-defined computation (or behaviour) in a way that allows control of the media used and the substrate in which they exist. Simulated evolutionary algorithms will be used to design the appropriate network structures by searching a defined space of preparation procedures to create a computing resource capable of satisfying a given objective(s).
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Key Findings |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Potential use in non-academic contexts |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Impacts |
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| Description |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk |
| Summary |
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| Date Materialised |
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Sectors submitted by the Researcher |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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| Project URL: |
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| Further Information: |
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| Organisation Website: |
http://www.uwe.ac.uk |