| EPSRC Reference: |
GR/S61904/01 |
| Title: |
Networks in biology: topology & dynamics |
| Principal Investigator: |
Barahona, Professor M |
| Other Investigators: |
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| Researcher Co-Investigators: |
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| Project Partners: |
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| Department: |
Bioengineering |
| Organisation: |
Imperial College London |
| Scheme: |
Standard Research (Pre-FEC) |
| Starts: |
01 October 2004 |
Ends: |
30 September 2007 |
Value (£): |
143,924
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| EPSRC Research Topic Classifications: |
| Logic & Combinatorics |
Mathematical Analysis |
| Non-linear Systems Mathematics |
Numerical Analysis |
| Theoretical biology |
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| EPSRC Industrial Sector Classifications: |
| Communications |
Electronics |
| Healthcare |
Transport Systems and Vehicles |
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| Panel History: |
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Summary on Grant Application Form |
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We propose to systematically investigate the interdependence of dynamical behavior and network architecture in biologically relevant networks of interconnected nonlinear elements. To do this, we will follow two complementary avenues. On one hand, we consider systems whose well-known dynamics enables us to isolate the effect of topology on the dynamical outcome. A relevant example is the study of synchronicity in neuronal networks. We will investigate its relation with structural properties of the network and will also investigate the effect of noise and edge deletion. Because neuronal synchronicity plays a role in sensorial activity, these dynamical features will be interpreted in terms of input-output response of neuronal arrays to simple stimuli. The second direction will follow an alternative path aimed at deriving which connectivity features are relevant in metabolic (enzymatic) biochemical networks, a particular class of dynamics of extreme biological importance. These dynamical equations are intricately tied with the topological component, thus we will investigate the robustness of the dynamics beyond linear sensitivity analysis by exploring the influence of the topology on phase space. We will rephrase some of these dynamically relevant features in the higher-level language of (feedback) control.
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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.imperial.ac.uk |