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Computational Neuroscience
Monday 8 – Thursday 11, December 2008
Mathematics Research Centre, University of Warwick, UK
Organisers: Jianfeng Feng (Warwick University), David McLaughlin (New York University) and Dimitris Vavoulis (Warwick University)
The programme of the conference is now available (
pdf)
ON-LINE PROGRAMME
On-line registration is now open
Background
Computational Neuroscience requires various aspects of modern applied mathematics, together with the direct use of experimental data and design. The systems or theoretical approach in Neuroscience plays an important role and it is fully demonstrated in the wide applications of the Hodgkin-Huxley model (a PDE or a multi-compartment model with thousands of ODEs). Indeed, up to this day, Systems Neuroscience is one of the best examples of Systems Biology. In recent years, there has been an upsurge of research on the modeling of intracellular activities, single cell activity and biophysically realistic neuronal networks, and on the integration over different scales. The applications of abstract and simplified models such as the integrate-and-fire model have also become an active area of research. A related exciting field is the analysis of experimental data including multi-electrode data (local-field-potential and spike data), image data and related ohmic data.
Aim
The aim of this workshop is to bring scientists (both theoreticians and experimentalists) together to exchange ideas and identify key areas of future research, in particular to promote the development of new analytical, computational and experimental tools for the successful resolution of current problems in the field.
Format
The conference will start on Monday morning and finish on Thursday afternoon. There will be a limited number of lectures per day, to give the participants enough time for discussions and collaborations. We will invite both leading theoreticians and experimentalists to join the meeting. The workshop will be organized around the following topics: (i) experiments, models and analysis of intracellular mechanisms (ii) Single cell activity, both at the biophysical and abstract levels (iii) neuronal networks modeling and experiments (iv) dealing with experimental data in particular multi-electrode recordings and reverse engineering approaches.
Speakers
01. Gareth Leng (Edinburgh)
02. Paul Bressloff (Utah)
03. Susanne Ditlevsen (Copenhagen)
04. Karl Friston (UCL)
05. Andre Longtin (Ottawa)
06. Stephen Coombes (Nottingham)
07. Stefan Klampfl (Austria)
08. Erik De Schutter (Japan)
09. Ding Mingzhou (Florida)
10. Xiao-Jing Wang (Yale)
11. Shun-ichi Amari (RIKEN, Japan)
12. Wulfram Gerstner (EPFL)
13. Henry Tuckwell (Max Planck Institute, MiS)
14. Hugh Robinson (Cambridge)
15. Claude Meunier (Paris)
16. Jurgen Jost (Max Planck Institute, MiS)
17. Hiroyuki Nakahara (RIKEN)
18. David Cai (New York)
19. Roger Traub (IBM Research, SUNY Downstate Medical Centre)
20. Jianfeng Feng (Warwick)
21. Stefan Klampfl (Austria)
22. Colin Ingram (Newcastle)
23. Magnus Richardson (Warwick)
24. David McLaughlin (New York)
25. Rasmus Petersen (Manchester)
26. Grigory Osipov (Nizhny Novgorod)
Venue
Talks will be held in the Mathematics Institute. This is building 35 of the Warwick central campus.
Note that the university is located at the outskirts of Coventry and not in Warwick.
See http://www2.warwick.ac.uk/about/visiting/ for travel details and http://www2.warwick.ac.uk/about/visiting/maps/ for maps of the central campus.
In case you come by car, parking is available for delegates at Car Park 15.
