Building a model of the brain: from detailed connectivity maps to network organization
Document Type
Article
Publication Date
10-1-2021
Abstract
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.
Identifier
85107817296 (Scopus)
Publication Title
European Physical Journal Special Topics
External Full Text Location
https://doi.org/10.1140/epjs/s11734-021-00152-7
e-ISSN
19516401
ISSN
19516355
First Page
2887
Last Page
2909
Issue
14-15
Volume
230
Grant
2013/07699-0
Fund Ref
Fundação de Amparo à Pesquisa do Estado de São Paulo
Recommended Citation
Shimoura, Renan Oliveira; Pena, Rodrigo F.O.; Lima, Vinicius; Kamiji, Nilton L.; Girardi-Schappo, Mauricio; and Roque, Antonio C., "Building a model of the brain: from detailed connectivity maps to network organization" (2021). Faculty Publications. 3790.
https://digitalcommons.njit.edu/fac_pubs/3790