0550948 - ÚI 2022 RIV CZ eng L4 - Software
Cakan, C. - Jajcay, Nikolaneurolib.
Internal code: neurolib ; 2021
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.
Economic 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.
R&D Projects: GA MŠMT(CZ) EF19_074/0016209
Institutional support: RVO:67985807
Keywords : brain modelling * population models * python
OECD category: Neurosciences (including psychophysiology
https://github.com/neurolib-dev/neurolib
Permanent Link: http://hdl.handle.net/11104/0326235
