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