| EPSRC Reference: |
GR/S30443/01 |
| Title: |
Understanding simple decision making - a modelling approach |
| Principal Investigator: |
Feng, Professor J |
| Other Investigators: |
|
| Researcher Co-Investigators: |
|
| Project Partners: |
|
| Department: |
Sch of Engineering and Informatics |
| Organisation: |
University of Sussex |
| Scheme: |
Standard Research (Pre-FEC) |
| Starts: |
01 October 2003 |
Ends: |
30 September 2006 |
Value (£): |
114,335
|
| EPSRC Research Topic Classifications: |
| Artificial Intelligence |
Biomedical neuroscience |
| Non-linear Systems Mathematics |
Numerical Analysis |
| Statistics & Appl. Probability |
|
|
| EPSRC Industrial Sector Classifications: |
| No relevance to Underpinning Sectors |
|
|
| Related Grants: |
|
| Panel History: |
|
|
Summary on Grant Application Form |
|
Our main objective is to develop theory and models which account for experimentally observed phenomena on decision making, based upon mathematical foundations. This is a timely and international hotly pursued topic. We expect that our approach will reveal principles that underlie simple decision making, including discrimination tasks performed by a cortical neuron system and motor control by a motor system. By applying nonlinear dynamics theory, variational calculus and statistical theory (decision theory, extrame value theory) to neuronal models we expect to understand how to improve decision making. By applying stochastic control theory, we want to implement a biological control system. On the other hand, our approach would opne up many new and challenging problems in mathematics including analytically solving the optimal control problem using the variational calculus, establishing a biological control theory of movement, developing a decision theory based upon biologically observed phenomena, developing a novel learning rule to improve the discrimination capacity, studying the stability and convergence of such a learning rule and so on.
|
|
Key Findings |
|
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
|
|
Potential use in non-academic contexts |
|
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
|
|
Impacts |
|
| Description |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk |
| Summary |
|
| Date Materialised |
|
|
|
|
Sectors submitted by the Researcher |
|
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
|
| Project URL: |
|
| Further Information: |
|
| Organisation Website: |
http://www.sussex.ac.uk |