Science

Theoretical Neuroscience Podcast

by Gaute Einevoll

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Latest episodes

On neuromorphic computing - with Mihai Petrovici - #45

September 23, 2026 · 1 hr 42 min

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On how energy determines where proteins are produced in neurons - with Tatjana Tchumatchenko - #44

August 26, 2026 · 1 hr 44 min

For neurons to function, the appropriate ion-channel proteins must be present where they are needed, including in distal dendrites and axon terminals. This requires energy, and the guest's group has developed a mechanistic mathematical…
On the computational neuroscience legacy of Valentino Braitenberg - with Ad Aertsen - #43

July 25, 2026 · 1 hr 11 min

The prominent and colorful neuroscientist Valentino Braitenberg was born 100 years ago. He co-founded the Max Planck Institute of Biological Cybernetics in Tübingen in Germany, where he made seminal contributions to neuroanatomy…
On neuronal identity and representational drift - with Timothy O'Leary - #42

June 20, 2026 · 1 hr 44 min

A bursting neuron can maintain its firing-pattern identity throughout an animal's life, even though the ion-channel proteins underlying this identity are turned over on the timescale of days. Today's guest has proposed that neuronal…
On functional effects of neuronal heterogeneity - with David Dahmen - #41

May 23, 2026 · 1 hr 30 min

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…

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On smelling your way to the fruit with ring models - with Katherine Nagel - #40

April 25, 2026 · 1 hr 25 min

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…
On modeling neural population activity with mean-field models - with Tilo Schwalger - #39

March 28, 2026 · 2 hr 19 min

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…
On extracting spiking network models from experiments - with Richard Gao - #38

February 28, 2026 · 1 hr 36 min

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

January 31, 2026 · 1 hr 29 min

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 low-dimensional manifolds in motor cortex - with Sara Solla - #36

January 3, 2026 · 2 hr 5 min

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…
On modeling metabolic networks in the brain – with Polina Shichkova - #35

December 6, 2025 · 1 hr 32 min

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…
On balanced neural networks - with Nicolas Brunel - #34

November 8, 2025 · 1 hr 39 min

An important discovery that has come out of computational neuroscience, is that cortical neurons in vivo appear to receive so-called balanced inputs. In the balanced state the excitatory and inhibitory synaptic inputs to a neuron are…