
The podcast focuses on topics in theoretical/computational neuroscience and is primarily aimed at students and researchers in the field.
| Publishes | Monthly | Episodes | 41 | Founded | 3 years ago |
|---|---|---|---|---|---|
| Number of Listeners | Categories | PhysicsScienceLife Sciences | |||

Most neural network models till date have assumed all neurons to be identical, or at least that all neurons within a population are identical. In reality, no two neurons are completely the same.
Is this due to unavoidable "biological noise" that th... more
Fruit flies need a short-term (working) memory to keep their direction when they navigate their way to the fruit by smelling.
Mean-field ring models was theoretically suggested to encode stimulus orientations 30 years and was observed in fruit-fly ... more
Starting with the work of pioneers like Wilson and Cowan in the 1970s, mean‑field models have become a dominant tool for modeling neural activity at the level of neuronal populations.
Despite their popularity, most mean‑field models have been heuri... more
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
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This is by far the best podcast on neuroscience and how the brain works. Great guests amplified by a host who helps break things down for the audience.
The host does a great job of making his guests shine. He gets them to explain things so that the listeners can understand while still allowing the guests to be the star of the show.
By listening to this show, I’m actually learning.
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 | #185 | |
Apple Podcasts | #246 | |
Apple Podcasts | #249 | |
Apple Podcasts | #96 | |
Apple Podcasts | #125 | |
Apple Podcasts | #146 |
Recent interactions between the hosts and their guests.
Listeners, social reach, demographics and more for this podcast.
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A cutting-edge show focused on theoretical and computational neuroscience, bringing together experimentalists, theorists, and method developers to discuss how neural systems are modeled, simulated, and understood. Episodes span topics from mean-field population dynamics and spiking networks to brain metabolism, neural plasticity, and consciousness theories, often weaving together data, modeling, and connectomics to illuminate core brain function. Notably, the program frequently features researchers with deep technical expertise, multiple perspectives, and a pragmatic view on reproducibility and translational impact. For potential listeners, it offers rigorous science presented with accessible explanations, making it well-suited for students... more
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Theoretical Neuroscience Podcast launched 3 years ago and published 41 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. David Dahmen
2. Katherine Nagel
3. Tilo Schwalger
4. Richard Gao
5. Hans Ekkehard Plesser
6. Polina Shichkova
7. Nicolas Brunel
8. Nicole Rust
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