Over the last ten years or so, the MindScope project at the Allen Institute in Seattle has pursued an industrylab-like approach to study the mouse visual cortex in unprecedented detail using electrophysiology, optophysiology, optical imaging and electron microscopy.
Together with collaborators at Allen, today’s guest has worked to integrate of these data into large-scale neural network, and in the podcast he talks about their ambitious endeavor.
Links to papers mentioned in the podcast:
- Home page of Anton Arkhipov
- Billeh et al: “Systematic Integration of Structural and Functional Data into Multi-scale Models of Mouse Primary Visual Cortex”, Neuron, 2020
- Gouwens et al: “Systematic generation of biophysically detailed models for diverse cortical neuron types”, Nature Comm, 2018
- Teeter et al: “Generalized leaky integrate-and-fire models classify multiple neuron types”, Nature Comm, 2018
- Siegle et al: “Survey of spiking in the mouse visual system reveals functional hierarchy”, Nature, 2021
- Haufler et al: “Simulations of cortical networks using spatially extended conductance-based neuronal models”, Journal of Physiology, 2023
- Einevoll et al: “The scientific case for brain simulations”, Neuron, 2019
- Rimehaug et al: “Uncovering circuit mechanisms of current sinks and sources with biophysical simulations of primary visual cortex”, eLife, 2023
- Anton Arkhipov: “Age of Cindy”
The podcast was recorded on December 30th, 2023 and lasts 2 hours and 2 minutes.
To see the video version and get the transcript of the episode, become a Patreon supporter at patreon.com/TheoreticalNeurosciencePodcast .
In addition to the access via the link above, the audio version of the podcast is also available through major podcast providers such as Apple, Spotify, and Amazon Music/Audible.