{"id":17686733,"url":"https://github.com/lacerbi/workshop-bristol-2019","last_synced_at":"2025-05-13T00:37:12.744Z","repository":{"id":97691771,"uuid":"185542871","full_name":"lacerbi/workshop-bristol-2019","owner":"lacerbi","description":"Introductory workshop to modeling and model fitting in psychophysics and neuroscience","archived":false,"fork":false,"pushed_at":"2019-05-09T13:02:56.000Z","size":3143,"stargazers_count":11,"open_issues_count":0,"forks_count":1,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-04-01T05:11:17.123Z","etag":null,"topics":["computational-neuroscience","matlab","modeling","optimization","tutorial"],"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/lacerbi.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,"governance":null}},"created_at":"2019-05-08T06:18:58.000Z","updated_at":"2021-12-16T03:24:17.000Z","dependencies_parsed_at":"2023-04-19T21:02:19.794Z","dependency_job_id":null,"html_url":"https://github.com/lacerbi/workshop-bristol-2019","commit_stats":{"total_commits":12,"total_committers":1,"mean_commits":12.0,"dds":0.0,"last_synced_commit":"a8c8845266e6d0f5669a789b43ba557f1b98b921"},"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/lacerbi%2Fworkshop-bristol-2019","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/lacerbi%2Fworkshop-bristol-2019/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/lacerbi%2Fworkshop-bristol-2019/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/lacerbi%2Fworkshop-bristol-2019/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/lacerbi","download_url":"https://codeload.github.com/lacerbi/workshop-bristol-2019/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":253850767,"owners_count":21973666,"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":["computational-neuroscience","matlab","modeling","optimization","tutorial"],"created_at":"2024-10-24T10:45:48.718Z","updated_at":"2025-05-13T00:37:12.706Z","avatar_url":"https://github.com/lacerbi.png","language":"MATLAB","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Introduction to modeling and model fitting in psychophysics and neuroscience (2019)\n\nThis repository contains materials for an introductory workshop to modeling and model fitting in psychophysics and neuroscience (with a focus on optimization and maximum-likelihood fitting), part of which I presented at the Bristol Neuroscience group in May 2019. I gave slightly different versions of this tutorial at several other institutions and summer schools (see [here](http://luigiacerbi.com/tutorials/)).\n\n- **Tutorial slides** are available [here](https://github.com/lacerbi/workshop-bristol-2019/blob/master/docs/acerbi-bristol-workshop-may2019.pdf).\n- The **main script** for the tutorial is [ModelingTutorial.m](https://github.com/lacerbi/workshop-bristol-2019/blob/master/ModelingTutorial.m).\n\nTo run some of the model-fitting algorithms in the tutorial you need to download and install the following MATLAB toolboxes:\n  - Bayesian Adaptive Direct Search (BADS): https://github.com/lacerbi/bads\n  - Variational Bayesian Monte Carlo (VBMC): https://github.com/lacerbi/vbmc\n\nFor more info about my work in computational neuroscience and machine learning, follow me on Twitter: https://twitter.com/AcerbiLuigi\n\n**Example: Optimization of Rosenbrock's function with BADS** ![Example: Optimization of Rosenbrock's function with BADS](https://github.com/lacerbi/workshop-bristol-2019/blob/master/docs/bads-optimviz.gif \"Example: Optimization of Rosenbrock's function with BADS\")\n\nFor more visualizations of optimization algorithms at work, see [here](https://github.com/lacerbi/optimviz).\n\n\n## License\n\nCode and scripts in this repository are released under the terms of the [MIT License](https://github.com/lacerbi/workshop-bristol-2019/blob/master/LICENSE).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flacerbi%2Fworkshop-bristol-2019","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Flacerbi%2Fworkshop-bristol-2019","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flacerbi%2Fworkshop-bristol-2019/lists"}