Theoretical Neuroscience Podcast
En podkast av Gaute Einevoll - Lørdager
26 Episoder
-
On the population code in visual cortex - with Kenneth Harris - #26
Publisert: 29.3.2025 -
On growing synthetic dendrites – with Hermann Cuntz - #25
Publisert: 1.3.2025 -
On neuroscience foundation models - with Andreas Tolias - #24
Publisert: 1.2.2025 -
On human whole-brain models - with Viktor Jirsa - #23
Publisert: 4.1.2025 -
On 40 years with the Hopfield network model - with Wulfram Gerstner - #22
Publisert: 7.12.2024 -
On models for short-term memory - with Pawel Herman - #21
Publisert: 9.11.2024 -
On neuro-AI on the boat - part 2 of 2 - with Cristina Savin, Tim Vogels, Mikkel Lepperød, Paul Middlebrooks - #20
Publisert: 11.10.2024 -
On neuro-AI on the boat - part 1 of 2 - with Ken Harris, Andreas Tolias, Mikkel Lepperød, Paul Middlebrooks - #19
Publisert: 8.10.2024 -
On electric brain signals - solo episode - #18
Publisert: 15.9.2024 -
On dendritic function - with Yiota Poirazi - #17
Publisert: 17.8.2024 -
On consciousness - with Christof Koch - #16
Publisert: 3.8.2024 -
On the simulation tool NEURON - with Michael Hines - #15
Publisert: 20.7.2024 -
On the molecular memory code - with Sam Gershman - #14
Publisert: 22.6.2024 -
On quantum biology - with Johnjoe McFadden - #13
Publisert: 8.6.2024 -
On modeling of signaling pathways inside the neuron - with Avrama Blackwell - #12
Publisert: 25.5.2024 -
On synaptic learning rules for spiking neurons - with Friedemann Zenke - #11
Publisert: 27.4.2024 -
On large-scale modeling of mouse primary visual cortex - with Anton Arkhipov - #10
Publisert: 30.3.2024 -
On origins of computational neuroscience and AI as scientific fields - with Terrence Sejnowski (vintage) - #9
Publisert: 16.3.2024 -
On reverse engineering of the roundworm C.elegans - with Konrad Kording - #8
Publisert: 2.3.2024 -
On topological data analysis and Hopfield-like network models - with Carina Curto - #7
Publisert: 3.2.2024
The podcast focuses on topics in theoretical/computational neuroscience and is primarily aimed at students and researchers in the field.
