
The podcast focuses on topics in theoretical/computational neuroscience and is primarily aimed at students and researchers in the field.
| Publishes | Monthly | Episodes | 38 | Founded | 2 years ago |
|---|---|---|---|---|---|
| Number of Listeners | Categories | PhysicsScienceLife Sciences | |||

While some models aim to explain qualitative features of brain activity, other aim to reproduce experimental data quantitatively. If so, model parameters must be adjusted to make the model predictions fit the experimental data.
A complication is th... more
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 thi... more
Historically, the analysis of neural recordings focused on responses of single neurons recorded by single-contact electrodes. Modern electrodes with multiple electrode contacts can instead record spikes (action potentials) from hundreds of neurons si... more
Neurons need particular sodium and potassium concentration gradients across their membranes to function. These gradients are set up by so-called ion pumps which require energy stored in ATP molecules to run.
ATP is the common energy currency in the... more
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Gaute interviews various guest scientists in the topic of computational neuroscience and theoretical neuroscience. The questions and discussion headed by Gaute makes the topic interesting and easy to follow. It’s a pleasure to listen to each episode.
Key themes from listener reviews, highlighting what works and what could be improved about the show.
How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.
Apple Podcasts | #151 | |
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Apple Podcasts | #219 | |
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Apple Podcasts | #32 | |
Apple Podcasts | #124 |
Recent interactions between the hosts and their guests.
Listeners, social reach, demographics and more for this podcast.
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This show centers on theoretical and computational neuroscience, featuring in-depth conversations with researchers who build models, run simulations, and analyze neural data. Ephemeral topics span spiking networks, neural metabolism, population coding, brain-machine interfaces, and the philosophy and methodology of computational work. Guests are often leading researchers or PhD-level contributors who blend math, biology, and computer science to advance understanding of brain function. A standout pattern is the frequent emphasis on model-based reasoning, rigorous reproducibility, and the bridge between theory and clinical or real-world applications. The format tends to combine historical context with cutting-edge methods, making it valuable ... more
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3. Dwarkesh Podcast
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Theoretical Neuroscience Podcast launched 2 years ago and published 38 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
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Recent guests on Theoretical Neuroscience Podcast include:
1. Richard Gao
2. Hans Ekkehard Plesser
3. Polina Shichkova
4. Nicolas Brunel
5. Nicole Rust
6. Mazviita Chirimuuta
7. Terrence Sejnowski
8. Etay Hay
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