Speaker
Ms
Ekaterina Brocke
(KTH CSC CB)
Description
Multiscale modeling attracts an increasing number of neuroscientists to study how
different levels of organization (networks of neurons, cells, synapses, biochemical
level) interact with each other across multiple scales of space and time to mediate
different brain functions. Different scales can be described by different physical
and mathematical formalisms thus making it non trivial to connect the scales in terms
of both mathematical and practical challenges. With the aim of getting a grasp of the
task complexity, we developed several multiscale models constituted from small models
simulated in different neural simulation environments and connected through Python.
In this talk, we will discuss numerical challenges which arise from these initial
steps as well as the requirements for building a simulation framework that will
support multiscale co-simulations.
Primary author
Ms
Ekaterina Brocke
(KTH CSC CB)
Co-authors
Dr
Michael Hanke
(KTH)
Dr
Mikael Djurfeldt
(PDC INCF)