{"id":18595436,"url":"https://github.com/ericjang/rnn-dynamics","last_synced_at":"2026-01-21T08:38:39.317Z","repository":{"id":31485607,"uuid":"35049745","full_name":"ericjang/RNN-dynamics","owner":"ericjang","description":"Code and report for APMA136 Final Project","archived":false,"fork":false,"pushed_at":"2015-05-06T05:44:09.000Z","size":1260,"stargazers_count":19,"open_issues_count":0,"forks_count":1,"subscribers_count":4,"default_branch":"master","last_synced_at":"2024-12-26T20:42:56.842Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Matlab","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/ericjang.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":"2015-05-04T17:45:37.000Z","updated_at":"2024-08-21T03:47:45.000Z","dependencies_parsed_at":"2022-09-05T23:10:14.079Z","dependency_job_id":null,"html_url":"https://github.com/ericjang/RNN-dynamics","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/ericjang%2FRNN-dynamics","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ericjang%2FRNN-dynamics/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ericjang%2FRNN-dynamics/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ericjang%2FRNN-dynamics/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/ericjang","download_url":"https://codeload.github.com/ericjang/RNN-dynamics/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":239379322,"owners_count":19628684,"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":[],"created_at":"2024-11-07T01:19:44.001Z","updated_at":"2025-11-02T05:30:30.730Z","avatar_url":"https://github.com/ericjang.png","language":"Matlab","funding_links":[],"categories":[],"sub_categories":[],"readme":"# RNN-dynamics\n\nCode for my APMA136 Final Project, based on \"Opening the Black Box : Low-Dimensional Dynamics in High-Dimensional Recurrent Neural Networks\".\n\nCodes for `simple2d`, `threebit_flipflop`, `motor_control` tasks are found in respective subdirectories. All code written by Eric Jang, under the MIT license. Most of the code is implemented in MATLAB, although there is a bit of python here and there.\n\n## Trained Submanifold Attractor\n3-bit Flip Flop\n\n![Imgur!](http://i.imgur.com/4bBZevB.gif)\n\n\n4-bit Flip-Flop\n\n![Imgur!](http://i.imgur.com/umIvYsU.gif)\n\n4-bit Flip-Flop, Logistic Nonlinearity\n\n![Imgur!](http://i.imgur.com/EwYzp9n.gif)\n\n4-bit Flip-Flop, pre-trained on 3-bit FF\n\n![Imgur!](http://i.imgur.com/GRZyFwO.gif)\n\n## Formation of Phase Space from Training\n\n3-bit FF\n\n![Imgur!](http://i.imgur.com/S2LXC7i.gif)\n\n4-bit FF\n\n![Imgur!](http://i.imgur.com/QyMiRGL.gif)\n\nFormal, academic writeup and informal blog posts are coming soon.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fericjang%2Frnn-dynamics","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fericjang%2Frnn-dynamics","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fericjang%2Frnn-dynamics/lists"}