{"id":16040708,"url":"https://github.com/danfarrow/dual-n-back-training","last_synced_at":"2025-03-12T16:18:00.497Z","repository":{"id":150092381,"uuid":"293716574","full_name":"danfarrow/dual-n-back-training","owner":"danfarrow","description":null,"archived":false,"fork":false,"pushed_at":"2021-02-26T10:08:42.000Z","size":127,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-01-19T09:13:31.724Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"JavaScript","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/danfarrow.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":"2020-09-08T06:06:10.000Z","updated_at":"2024-07-14T01:54:15.000Z","dependencies_parsed_at":"2023-06-25T23:33:16.798Z","dependency_job_id":null,"html_url":"https://github.com/danfarrow/dual-n-back-training","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/danfarrow%2Fdual-n-back-training","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/danfarrow%2Fdual-n-back-training/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/danfarrow%2Fdual-n-back-training/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/danfarrow%2Fdual-n-back-training/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/danfarrow","download_url":"https://codeload.github.com/danfarrow/dual-n-back-training/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":243249011,"owners_count":20260768,"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":"2024-10-08T23:21:01.876Z","updated_at":"2025-03-12T16:18:00.474Z","avatar_url":"https://github.com/danfarrow.png","language":"JavaScript","funding_links":[],"categories":[],"sub_categories":[],"readme":"## Dual N-Back training\n\nPersonal project to build a JS Dual N-Back training app\n\n[Demo here](https://danfarrow.github.io/dualnback/)\n\n### What is dual n-back training?\n\nFor my purposes it’s a tool for exercising \u0026 training my working memory, but I couldn’t say for sure if it’s had any benefit yet. However, making this app in JavaScript has been a useful exercise!\n\nhttps://en.wikipedia.org/wiki/N-back#Dual_n-back\n\n### Instructions\n\nYou will be shown a series of coloured squares. Each time the square changes you will be mentally comparing it with the square 2 steps back to determine if the colour or position (or both) match.\n\nPress the __Q__ key to report a colour match and __E__ for a position match.\n\nFor example:\n\n* Round 1: Red square, top left - no previous round to compare\n* Round 2: Blue square, top right - no previous round to compare\n* Round 3: Red square, top right - compare with round 1: colour match\n* Round 4: Red square, top right - compare with round 2: position match\n* Round 5: Yellow square, bottom right - compare with round 3: no match\n* Round 6: Red square, top right - compare with round 4: colour \u0026 position match\n\n### Scoring\n\nEach correctly reported match scores 1 point. Each incorrectly reported match or unreported match loses 1 point.\n\nAfter 20 rounds your score will display along with the possible score.\n\n### @todo\n* Add onscreen buttons for touchscreen\n* [Use webpack for full build](https://webpack.js.org/guides/asset-management/)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdanfarrow%2Fdual-n-back-training","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdanfarrow%2Fdual-n-back-training","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdanfarrow%2Fdual-n-back-training/lists"}