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

arXiv: https://arxiv.org/abs/2106.03995 · HTML: https://mlsanity.com/paper/2106.03995/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 7 Jun 2021.

## Built on by (most cited first, 1 of 1)

- [Learning About Learning: A Path from Spin Glasses to Artificial Intelligence](https://mlsanity.com/paper/2601.07635/) (2026)

## Abstract (arXiv)

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.