https://doi.org/10.1140/epjs/s11734-021-00152-7
Review
Building a model of the brain: from detailed connectivity maps to network organization
1
Departamento de Física, FFCLRP, Universidade de São Paulo, 14040-901, Ribeirão Preto, SP, Brazil
2
Federated Department of Biological Sciences, New Jersey Institute of Technology and Rutgers University, Newark, New Jersey, NJ, USA
3
Institut de Neurosciences des Systèmes (INS, UMR 1106) Université de Aix-Marseille, Marseille, France
4
Department of Physics, University of Ottawa, K1N 6N5, Ottawa, ON, Canada
Received:
3
December
2020
Accepted:
23
April
2021
Published online:
12
June
2021
The field of computational modeling of the brain is advancing so rapidly that now it is possible to model large scale networks representing different brain regions with a high level of biological detail in terms of numbers of neurons and synapses. For a theoretician approaching a neurobiological question, it is important to analyze the pros and cons of each of the models available. Here, we provide a tutorial review on recent models for different brain circuits, which are based on experimentally obtained connectivity maps. We discuss particularities that may be relevant to the modeler when choosing one of the reviewed models. The objective of this review is to give the reader a fair notion of the computational models covered, with emphasis on the corresponding connectivity maps, and how to use them.
© The Author(s), under exclusive licence to EDP Sciences, Springer-Verlag GmbH Germany, part of Springer Nature 2021
