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Computational Neuroscience and the Dynamics of Disease States
The goal of our workshop was formulated as:
To bring together theoreticians (computational modelers as well as experimental neuroscientists) and clinicians in order to bridge the large gap between those fields and improve the understanding of the basis of dynamical diseases
The interest in the workshop was apparent from the background of the 51 participants which included mathematicians, physicists, engineers, neurologists and neurosurgeons, many of them leading scientists in their field.
As the leading feature of the workshop we organized duo-talks for a physician and a experimentalist/theoretician. Several stimulating examples of fruitful cooperation were presented that beautifully illustrated what can be achieved when clinical needs and computational modeling are matched in an interdisciplinary way. In addition five general lectures reviewed various aspects and approaches of computational neuroscience in a clinical context
As expected, the range of topics in the meeting varied widely:
The poster session on the first day evoked stimulating discussions and gave ample attention to the eleven PhD students that attended the workshop.
Thursday afternoon was devoted to informal discussions on Parkinsonís disease, epilepsy, large scale computation and optimal models for clinical questions. Key questions for deep brain stimulation were put forward. The discussion on the modeling was particularly lively, resulting in a long list of requirements for relevant models.† A need for tools to compare detailed large scale models with coarse grained models was identified.
Participants found the meeting successful and a step in the direction of our ambitious goals. It will further interdisciplinary collaborative research in clinical neuroscience.
We are grateful for the support of the Lorentz Center and for our sponsors: The UK Mathematical Neuroscience Network, Het Swammerdam Institute (UvA) and MIRA (UT).