The Core System for General-purpose Brain Dynamics Programming Framework.
Project description
braincore
implements the core system for the next generation of BrainPy
framework.
Compared to BrainPy 2.0, braincore
provides a range of distinctive features that facilitate precise, convenient, and high-performance modeling of large-scale brain dynamics. These notable features encompass:
- Robust program transformations built upon a straightforward and intuitive
State
system, enabling powerful computations. - Integration of
physical units
, ensuring seamless compatibility with brain science data and enhancing the accuracy of simulations. - Utilization of advanced and precise
numerical differential equation solvers
, enabling accurate representation of complex brain dynamics. - Support for
parallelization
across multiple devices, facilitating efficient computation and enabling scalability for large-scale simulations.
By leveraging these unique capabilities, braincore empowers researchers and scientists to conduct comprehensive and accurate analyses of brain dynamics on a larger scale, fostering advancements in the understanding of the intricate workings of the brain.
Installation
You can install braincore
via pip:
pip install braincore --upgrade
Documentation
The official documentation is hosted on Read the Docs: https://braincore.readthedocs.io/
See also the BDP ecosystem
-
brainpy
: The solution for the general-purpose brain dynamics programming. -
braincore
: The core system for the next generation of BrainPy framework. -
braintools
: The tools for the brain dynamics simulation and analysis. -
brainscale
: The scalable online learning for biological spiking neural networks.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
Built Distribution
File details
Details for the file braincore-0.0.3-py2.py3-none-any.whl
.
File metadata
- Download URL: braincore-0.0.3-py2.py3-none-any.whl
- Upload date:
- Size: 168.3 kB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.5
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 2acce859179d40a796d12d81ee708f1f67ef2effe45f364bf3369174867ffea4 |
|
MD5 | 9aaa365bcb3eb872edc24de2ea661ae6 |
|
BLAKE2b-256 | 02af9ed8bea510356d3ac1ea582c8b834bd11d887fd29974fee70b3511ee6e1e |