Enabling Scalable Online Learning for Brain Dynamics.
Project description
BrainTrace
Eligibility Trace-based Online Learning for Brain Dynamics
braintrace provides online learning algorithms for biological neural networks.
It has been integrated into our establishing brain modeling ecosystem.
Installation
braintrace can run on Python 3.10+ installed on Linux, MacOS, and Windows. You can install braintrace via pip:
pip install braintrace --upgrade
Alternatively, you can install BrainX, which bundles braintrace with other compatible packages for a comprehensive brain modeling ecosystem:
pip install BrainX -U
Documentation
The official documentation is hosted on Read the Docs: https://braintrace.readthedocs.io
See also the ecosystem
braintrace is one part of our brain simulation ecosystem: https://brainmodeling.readthedocs.io/
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 Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file braintrace-0.1.1.tar.gz.
File metadata
- Download URL: braintrace-0.1.1.tar.gz
- Upload date:
- Size: 147.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.13.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
960cbe58a4e245eff450905775ed5961a54e4000d78bc859aa2969150fa4af2b
|
|
| MD5 |
63b2b54b05d72dbb1e6c8c9e80284fa4
|
|
| BLAKE2b-256 |
b7a3b0fde7ac12999275b8d104e886e7e16046b5f55081bf6d6118ab4ef40c0e
|
File details
Details for the file braintrace-0.1.1-py2.py3-none-any.whl.
File metadata
- Download URL: braintrace-0.1.1-py2.py3-none-any.whl
- Upload date:
- Size: 183.4 kB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.13.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
25cf8c58e425bc7c6176b624689069b825992884d3afb3cc16531f1db1ff6c59
|
|
| MD5 |
be756137659a2934216cdfd2166b3da2
|
|
| BLAKE2b-256 |
00ba919978316a3f3042136eb9d8752c2914f0fdb4ae9b60fba51ef21517c307
|