English: The webinar "Neuronal network models as building blocks for the classroom" was given by Markus Diesmann and Sebastian Spreizer, from the Institute of Neuroscience and Medicine for Computational and Systems Neuroscience, Research Centre Jülich...In this presentation, they talk 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. With graphical user interfaces like NEST Desktop, presented online in the talk, students can learn about neuroscience concepts and understand the purpose of mathematical models without the need to master the details of programming. NEST Desktop runs installation-free in the browser based on a client-server architecture and is therefore suitable for e-learning and a contribution to equal opportunities...For more informations about the series of webinars "Mathematics and Neurobiology Intertwined", access: https://neuromat.numec.prp.usp.br/content/nmweb/