Markus Diesmann: Neuronal network models as building blocks for the classroom
Channel: NeuroMat
Date: 20/05/2020

The webinar "Neuronal network models as building blocks for the classroom" was given by Markus Diesmann, from the Institute of Neuroscience and Medicine for Computational and Systems Neuroscience, Research Centre Jülich.

In this presentation, he talks about the prominent features of the local cortical neuronal network of mammals are conserved in the evolution from mouse to man and across sensory and motor areas. This raises hope that a universal computing architecture can be found. Still, single brain functions are distributed across the brain requiring us to use models created by other scientists as building blocks. The talk discusses a model of the macaque’s vision-related areas as an example and the corresponding simulation technology implemented in the NEST code. The digitalization of computational neuroscience workflows is a chance to overcome the complexity barriers we are facing and to advance open science. This extends to the classroom.

For more informations about the series of webinars "Mathematics and Neurobiology Intertwined", access: https://neuromat.numec.prp.usp.br/content/nmweb/