Episode #37: On reproducibility of modeling and 10 years with the Potjans-Diesmann network model скачать в хорошем качестве

Episode #37: On reproducibility of modeling and 10 years with the Potjans-Diesmann network model

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!