Mini-symposium on the interaction between modelling and experiments in neuroscience
At 13:00 on Wednesday June 5th, CINPLA will host guest speakers from Universities in France, Norway, Sweden and the USA on the interaction between modelling and experiments in neuroscience.
One of the hallmarks of physics and many of the engineering sciences is the tight interaction between mathematical modelling and experiments. This interaction has also proved successful in bridging scales in complex systems, the most prominent example here perhaps being numerical weather forecasting on which modern meteorology is based.
There are also many nice examples of successful interactions between modelling and experiments in physiology. However, the collaboration between the experimental and modelling communities is still less developed than, for example, in physics.
This mini-symposium will discuss reasons for this and how to improve the interaction in physiology. We are fortunate to host experts from the field with extensive and wide-ranging experience in mathematical physiology and of interacting with experimentalists and they shall share their perspectives based on their own experiences.
The symposium will end with a panel debate inviting questions from the audience.
The symposium is open to all. If you would like to join for the dinner-social after the program please complete the registration form from this link. Registration deadline of Friday 31st May.
Wednesday June 5th – 13:00
Auditorium 2, Georg Sverdrup's hus
13.00-13.15: Marianne Fyhn, UiO: Opening & Cross-disciplinarity at CINPLA
13.15-13.45: James Keener, University of Utah: TBD
13.45-14.15: Yoichiro Mori, University of Minnesota: A computational model of cortical spreading depression
14.15-14.30: - break –
14.30-15.00: Astrid Prinz, Emory University: Neuron and small circuit solution space structure in experiment and modeling
15.00-15.30: Arvind Kumar, Royal Technical University Stockholm: Theory vs experiments in neuroscience: only a division of methods
15.30-16.00: Andrew Davison, Paris-Saclay Institute of Neuroscience: Tools for systematic, quantitative model validation against experimental data
16.00-16.30: Panel debate