Building a model of the brain: from detailed connectivity maps to network organization

Autor:	Shimoura, Renan Oliveira, Pena, Rodrigo F. O., Lima, Vinicius, Kamiji, Nilton L., Girardi-Schappo, Mauricio, Roque, Antonio C.
Rok vydání:	2021
Předmět:	Physics - Biological Physics Condensed Matter - Disordered Systems and Neural Networks Nonlinear Sciences - Adaptation and Self-Organizing Systems Quantitative Biology - Neurons and Cognition
Zdroj:	Eur. Phys. J. Spec. Top. (2021)
Druh dokumentu:	Working Paper
DOI:	10.1140/epjs/s11734-021-00152-7
Popis:	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 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. Comment: 35 pages, 5 figures
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2106.03995 Zobrazit plný text záznamu View this record from Arxiv