{"id":15469000,"url":"https://github.com/ajaysub110/mnist-pygenn","last_synced_at":"2025-07-31T10:08:03.326Z","repository":{"id":113985917,"uuid":"176902026","full_name":"ajaysub110/mnist-pygenn","owner":"ajaysub110","description":"Implementation of the paper 'Unsupervised learning of digit recognition using spike-timing-dependent plasticity' by Peter Diehl and Matthew Cook, using the PyGeNN (Python interface of GeNN) SNN framework","archived":false,"fork":false,"pushed_at":"2019-10-06T08:50:35.000Z","size":28834,"stargazers_count":12,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-04-07T08:38:02.624Z","etag":null,"topics":["genn","machine-learning","spiking-neural-networks"],"latest_commit_sha":null,"homepage":"","language":"C++","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/ajaysub110.png","metadata":{"files":{"readme":"readme.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2019-03-21T08:29:34.000Z","updated_at":"2024-11-21T08:00:47.000Z","dependencies_parsed_at":null,"dependency_job_id":"2de436df-3f6c-427a-96f6-db5f689823a9","html_url":"https://github.com/ajaysub110/mnist-pygenn","commit_stats":{"total_commits":13,"total_committers":1,"mean_commits":13.0,"dds":0.0,"last_synced_commit":"76b2572f8901c388878679ca4557bb927ba089c9"},"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/ajaysub110/mnist-pygenn","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ajaysub110%2Fmnist-pygenn","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ajaysub110%2Fmnist-pygenn/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ajaysub110%2Fmnist-pygenn/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ajaysub110%2Fmnist-pygenn/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/ajaysub110","download_url":"https://codeload.github.com/ajaysub110/mnist-pygenn/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ajaysub110%2Fmnist-pygenn/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":262240207,"owners_count":23280472,"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":["genn","machine-learning","spiking-neural-networks"],"created_at":"2024-10-02T01:48:44.922Z","updated_at":"2025-06-27T10:35:35.369Z","avatar_url":"https://github.com/ajaysub110.png","language":"C++","funding_links":[],"categories":[],"sub_categories":[],"readme":"## MNIST PyGeNN\n\nImplementation of the paper 'Unsupervised learning of digit recognition using spike-timing-dependent plasticity' by Peter Diehl and Matthew Cook, using the PyGeNN (Python interface of GeNN) SNN framework.\n\n### To Do:\n- [x] Create LIF neuron, synapse and STDP weight update models\n- [x] Create LIF neuron and synapse populations\n- [x] Load and prepare MNIST data\n- [x] Create Poisson input model and input population with variable frequency\n- [x] Write simulation code\n- [x] Add training and classification code\n- [x] Add lateral inhibition and one vs one connections\n- [ ] Obtain results and plot accuracies\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fajaysub110%2Fmnist-pygenn","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fajaysub110%2Fmnist-pygenn","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fajaysub110%2Fmnist-pygenn/lists"}