neurolib

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F21%3A00550948" target="_blank" >RIV/67985807:_____/21:00550948 - isvavai.cz</a>
Result on the web
<a href="https://github.com/neurolib-dev/neurolib" target="_blank" >https://github.com/neurolib-dev/neurolib</a>
DOI - Digital Object Identifier
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Result language
angličtina
Original language name
neurolib
Original language description
neurolib is a simulation and optimization framework for whole-brain modeling. It allows you to implement your own neural mass models which can simulate fMRI BOLD activity. neurolib helps you to analyse your simulations, to load and handle structural and functional brain data, and to use powerful evolutionary algorithms to tune your model's parameters and fit it to empirical data. You can chose from different neural mass models to simulate the activity of each brain area. The main implementation is a mean-field model of spiking adaptive exponential integrate-and-fire neurons (AdEx) called ALNModel where each brain area contains two populations of excitatory and inhibitory neurons.
Czech name
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Czech description
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Project
<a href="/en/project/EF19_074%2F0016209" target="_blank" >EF19_074/0016209: Modelling the sleeping brain: towards a neural mass model of sleep rhythms and their interactions</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Internal product ID
neurolib
Technical parameters
neurolib is a python library, and as such requires working installation of python. neurolib is tested and runs without problems on Linux systems (python versions 3.6 — 3.8) and macOS systems (python versions 3.6 — 3.7). neurolib requires several third-party python libraries (such as numpy, scipy, xarray and others), all of these are open sourced and will be installed automatically during neurolib installation via pip.
Economical parameters
neurolib is very easy-to-use python library for whole-brain modelling. Due to the use of numba compiler, it is one of the fastest brain simulator to the best of our knowledge. Its modular structure allows for easy prototyping of new models, and thanks to the MultiModel framework it easily allows for heterogeneous modelling, where multiple model types and definitions can be coupled together and simulated as a whole. Moreover, it is the only brain simulation library that comes with built-in module for parameter explorations and parameter optimisation using genetic algorithms. neurolib is available under MIT licence.
Owner IČO
67985807
Owner name
Ústav informatiky AV ČR, v. v. i.

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