Episode #37: On reproducibility of modeling and 10 years with the Potjans-Diesmann network model
Автор: Theoretical Neuroscience Podcast
Загружено: 2026-01-30
Просмотров: 66
Описание:
Reproducibility is key for scientific progress. If research results cannot be reproduced and trusted, other researchers cannot build on them.
Reproducibility is a challenge also in computational neuroscience, and today’s guest has worked on how this can be remedied, for example, through standardized model description and model sharing.
He also recently organised a workshop celebrating a decade with the (reproducible) Potjans-Diesmann neural network model, which has become an important community tool.
For episode info, see https://theoreticalneuroscience.no/thn37
The podcast interview was recorded on December 12, 2025, and the full podcast lasts 1 hour and 28 minutes.
To support the podcast, become a Patreon supporter at patreon.com/TheoreticalNeurosciencePodcast .
The audio version of the podcast is available through major podcast providers such as Apple, Spotify, and Amazon Music/Audible.
Thanks for supporting the Theoretical Neuroscience Podcast!
Повторяем попытку...
Доступные форматы для скачивания:
Скачать видео
-
Информация по загрузке:
