https://github.com/igitugraz/lsm
Liquid State Machines in Python and NEST
https://github.com/igitugraz/lsm
liquid-state-machine lsm recurrent-neural-networks spiking-neural-networks
Last synced: about 1 month ago
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Liquid State Machines in Python and NEST
- Host: GitHub
- URL: https://github.com/igitugraz/lsm
- Owner: IGITUGraz
- License: gpl-3.0
- Created: 2017-08-24T19:45:00.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2020-11-06T15:00:27.000Z (over 4 years ago)
- Last Synced: 2025-03-27T23:11:10.928Z (about 2 months ago)
- Topics: liquid-state-machine, lsm, recurrent-neural-networks, spiking-neural-networks
- Language: Python
- Homepage:
- Size: 41 KB
- Stars: 70
- Watchers: 9
- Forks: 26
- Open Issues: 3
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Liquid State Machine (LSM)
The Liquid State Machine (LSM) ([Maass et. al. 2002][1]) is a computational model
which uses the high-dimensional, complex dynamics of recurrent neural circuits to
conduct memory-dependent readout operations on continuous input streams.
[1]: http://dx.doi.org/10.1162/089976602760407955
This package provides a convenience wrapper for network construction, as well as typical
operations on the reservoir.
Note that this code does not implement the exact model in ([Maass et. al. 2002][1]), but rather a slightly simplified model. This code was used in ([Kaiser et al. 2017][2]).
[2]: https://iopscience.iop.org/article/10.1088/1748-3190/aa7663/meta
## Usage
After cloning this repository locally, run `pip install .` in the working copy. Requires a working installation of the [NEST simulator](http://www.nest-initiative.org).