{"id":18850928,"url":"https://github.com/igitugraz/lsm","last_synced_at":"2025-04-14T09:51:15.844Z","repository":{"id":56451684,"uuid":"101331959","full_name":"IGITUGraz/LSM","owner":"IGITUGraz","description":"Liquid State Machines in Python and NEST","archived":false,"fork":false,"pushed_at":"2020-11-06T15:00:27.000Z","size":42,"stargazers_count":70,"open_issues_count":3,"forks_count":26,"subscribers_count":9,"default_branch":"master","last_synced_at":"2025-03-27T23:11:10.928Z","etag":null,"topics":["liquid-state-machine","lsm","recurrent-neural-networks","spiking-neural-networks"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"gpl-3.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/IGITUGraz.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2017-08-24T19:45:00.000Z","updated_at":"2025-03-20T13:08:35.000Z","dependencies_parsed_at":"2022-08-15T19:00:51.473Z","dependency_job_id":null,"html_url":"https://github.com/IGITUGraz/LSM","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/IGITUGraz%2FLSM","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/IGITUGraz%2FLSM/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/IGITUGraz%2FLSM/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/IGITUGraz%2FLSM/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/IGITUGraz","download_url":"https://codeload.github.com/IGITUGraz/LSM/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248859618,"owners_count":21173337,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["liquid-state-machine","lsm","recurrent-neural-networks","spiking-neural-networks"],"created_at":"2024-11-08T03:32:39.001Z","updated_at":"2025-04-14T09:51:15.817Z","avatar_url":"https://github.com/IGITUGraz.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Liquid State Machine (LSM)\n\nThe Liquid State Machine (LSM) ([Maass et. al. 2002][1]) is a computational model\nwhich uses the high-dimensional, complex dynamics of recurrent neural circuits to\nconduct memory-dependent readout operations on continuous input streams.\n\n[1]: http://dx.doi.org/10.1162/089976602760407955\n\nThis package provides a convenience wrapper for network construction, as well as typical\noperations on the reservoir.\n\nNote 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]).\n\n[2]: https://iopscience.iop.org/article/10.1088/1748-3190/aa7663/meta\n\n## Usage\n\nAfter cloning this repository locally, run `pip install .` in the working copy. Requires a working installation of the [NEST simulator](http://www.nest-initiative.org).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Figitugraz%2Flsm","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Figitugraz%2Flsm","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Figitugraz%2Flsm/lists"}