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On the population code in visual cortex - with Kenneth Harris - #26
Manage episode 474023517 series 3562348
With modern electrical and optical measurement techniques, we can now measure neural activity in hundreds or thousands of neurons simultaneously. This allows for the investigation of population codes, that is, of how groups of neurons together encode information.
In 2019 today’s guest published a seminal paper with collaborators at UCL in London where analysis of optophysiological data from 10.000 neurons in mouse visual cortex revealed an intriguing population code balancing the needs for efficient and robust coding.
We discuss the paper and (towards the end) also how new AI tools may be a game-changer for neuroscience data analysis.
27 episodes
Manage episode 474023517 series 3562348
With modern electrical and optical measurement techniques, we can now measure neural activity in hundreds or thousands of neurons simultaneously. This allows for the investigation of population codes, that is, of how groups of neurons together encode information.
In 2019 today’s guest published a seminal paper with collaborators at UCL in London where analysis of optophysiological data from 10.000 neurons in mouse visual cortex revealed an intriguing population code balancing the needs for efficient and robust coding.
We discuss the paper and (towards the end) also how new AI tools may be a game-changer for neuroscience data analysis.
27 episodes
All episodes
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1 On construction and clinical use of multipurpose neuron models - with Etay Hay - #27 1:13:21

1 On the population code in visual cortex - with Kenneth Harris - #26 1:24:49

1 On growing synthetic dendrites – with Hermann Cuntz - #25 1:34:34

1 On neuroscience foundation models - with Andreas Tolias - #24 1:31:43

1 On human whole-brain models - with Viktor Jirsa - #23 1:55:21

1 On 40 years with the Hopfield network model - with Wulfram Gerstner - #22 1:27:49

1 On models for short-term memory - with Pawel Herman - #21 1:47:42

1 On neuro-AI on the boat - part 2 of 2 - with Cristina Savin, Tim Vogels, Mikkel Lepperød, Paul Middlebrooks - #20 1:21:03

1 On neuro-AI on the boat - part 1 of 2 - with Ken Harris, Andreas Tolias, Mikkel Lepperød, Paul Middlebrooks - #19 1:19:26

1 On electric brain signals - solo episode - #18 1:48:22

1 On dendritic function - with Yiota Poirazi - #17 1:27:39

1 On consciousness - with Christof Koch - #16 2:04:59

1 On the simulation tool NEURON - with Michael Hines - #15 1:26:35

1 On the molecular memory code - with Sam Gershman - #14 1:20:44

1 On quantum biology - with Johnjoe McFadden - #13 1:17:20

1 On modeling of signaling pathways inside the neuron - with Avrama Blackwell - #12 1:31:40

1 On synaptic learning rules for spiking neurons - with Friedemann Zenke - #11 1:30:44

1 On large-scale modeling of mouse primary visual cortex - with Anton Arkhipov - #10 2:02:08

1 On origins of computational neuroscience and AI as scientific fields - with Terrence Sejnowski (vintage) - #9 1:55:27

1 On reverse engineering of the roundworm C.elegans - with Konrad Kording - #8 1:34:14

1 On topological data analysis and Hopfield-like network models - with Carina Curto - #7 2:14:41

1 On central pattern generators in the spinal cord - with Henrik Lindén - #6 1:26:33

1 On how vision works - with Li Zhaoping - #5 1:21:57

1 On multi-area cortex models - with Sacha van Albada - #4 1:32:51

1 On the neural code - with Arvind Kumar - #3 1:25:46

1 On biophysics of computation – with Christof Koch - #2 1:20:10

1 On models of the mind - with Grace Lindsay - #1 1:51:39
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