July 3-5, 2017, University of Reading, United Kingdom.
Neural Mass Modelling and Neural Field Theory is a growing and very active area
of research with important applications in medicine and technology. Activities
range from the simulation of neural populations to the analysis of neural field
equations, from neural modelling of cognitive and psychological processes to
controlling artificial devices.
The connection between these models and measurement data, including large-scale
data assimilation tasks, is of high interest to many researchers and a key challenge
to move into real-world applications. The integration of models with data assimilation
is a core milestone of systems to achieve a high-quality forecast skill.
The 4th ICNFT includes a tutorial afternoon with introduction to theory and practice
of data assimilation by leading experts in the field.
Confirmed keynote speakers:
John Spencer, East Anglia U
Wilhelm Stannert, TU Berlin
Timothy Sauer, George Mason University
Rosalyn Moran, U Bristol
David Grayden, U Melbourne
Stephen Coombes, University of Nottingham
Ingo Bojak, University of Reading
Roland Potthast, DWD/University of Reading
Axel Hutt, DWD/University of Reading
Contributed talks are welcome, please see the web page
http://www.inverseproblems.info/icnft2017 for more details.
Hope to see you in Reading
The organizers Roland Potthast, Axel Hutt, Stephen Coombes, Ingo Bojak,
Peter beim Graben, Douglas Saddy and Ingeborg Lasser.