# On reproducibility of modeling and 10 years with the Potjans-Diesmann network model - with Hans Ekkehard Plesser - #37

Page: https://stenobird.com/podcast/theoretical-neuroscience-podcast-6657149/on-reproducibility-of-modeling-and-10-years-with-the-potjans-diesmann-network-model-with-hans-ekkehard-plesser-37
Text version: https://stenobird.com/podcast/theoretical-neuroscience-podcast-6657149/on-reproducibility-of-modeling-and-10-years-with-the-potjans-diesmann-network-model-with-hans-ekkehard-plesser-37.md
Podcast: [Theoretical Neuroscience Podcast](https://stenobird.com/podcast/theoretical-neuroscience-podcast-6657149)
Published: 2026-01-31T06:00:00+00:00
Episode link: https://431c9cd0-a1ff-4f9a-ac41-4fca68240d88.libsyn.com/on-reproducibility-of-modelling-and-10-years-with-the-potjans-diesmann-network-model-with-hans-ekkehard-plesser-37
Audio file: https://traffic.libsyn.com/secure/431c9cd0-a1ff-4f9a-ac41-4fca68240d88/ThN-037-HansEkkehardPlesser_mixdown.mp3?dest-id=4181327
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Duration seconds: 5329

## Resource

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.

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## Transcript

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