Theoretical Neuroscience Podcast
A podcast by Gaute Einevoll - Saturdays

26 Episodes
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On the population code in visual cortex - with Kenneth Harris - #26
Published: 3/29/2025 -
On growing synthetic dendrites – with Hermann Cuntz - #25
Published: 3/1/2025 -
On neuroscience foundation models - with Andreas Tolias - #24
Published: 2/1/2025 -
On human whole-brain models - with Viktor Jirsa - #23
Published: 1/4/2025 -
On 40 years with the Hopfield network model - with Wulfram Gerstner - #22
Published: 12/7/2024 -
On models for short-term memory - with Pawel Herman - #21
Published: 11/9/2024 -
On neuro-AI on the boat - part 2 of 2 - with Cristina Savin, Tim Vogels, Mikkel Lepperød, Paul Middlebrooks - #20
Published: 10/11/2024 -
On neuro-AI on the boat - part 1 of 2 - with Ken Harris, Andreas Tolias, Mikkel Lepperød, Paul Middlebrooks - #19
Published: 10/8/2024 -
On electric brain signals - solo episode - #18
Published: 9/15/2024 -
On dendritic function - with Yiota Poirazi - #17
Published: 8/17/2024 -
On consciousness - with Christof Koch - #16
Published: 8/3/2024 -
On the simulation tool NEURON - with Michael Hines - #15
Published: 7/20/2024 -
On the molecular memory code - with Sam Gershman - #14
Published: 6/22/2024 -
On quantum biology - with Johnjoe McFadden - #13
Published: 6/8/2024 -
On modeling of signaling pathways inside the neuron - with Avrama Blackwell - #12
Published: 5/25/2024 -
On synaptic learning rules for spiking neurons - with Friedemann Zenke - #11
Published: 4/27/2024 -
On large-scale modeling of mouse primary visual cortex - with Anton Arkhipov - #10
Published: 3/30/2024 -
On origins of computational neuroscience and AI as scientific fields - with Terrence Sejnowski (vintage) - #9
Published: 3/16/2024 -
On reverse engineering of the roundworm C.elegans - with Konrad Kording - #8
Published: 3/2/2024 -
On topological data analysis and Hopfield-like network models - with Carina Curto - #7
Published: 2/3/2024
The podcast focuses on topics in theoretical/computational neuroscience and is primarily aimed at students and researchers in the field.