NC unit secretary
2020-10-10 12:31:04

This is a discussion channel for " Artificial Intelligence Meets Human Intelligence" by Prof. Terrence Sejnowski (Salk Institute & Univesity of California San Diego) A link to the talk is the following. Please do not share the link to anyone outside of this slack workspace. Access Passcode can be found at the announcement channel.   URL: https://vimeo.com/471285231 (27 minutes)

👏 Taiki Miyagawa, HiroHamada
Lakshman Chakravarthy
2020-10-12 23:08:25

Hi Terry! Thank you for your insights during the discussion! I was wondering where would the emerging discipline of network neuroscience play a role. e.g., https://www.nature.com/articles/s41593-020-0653-3

Nature Neuroscience
Dynamic representations in networked neural systems
Recent studies separately address the neural representation of stimuli and its dynamics in networks that model neural interactions. Ju and Bassett review such recent advances and discuss the integration of neural representations and network models.
Original URL: https://www.nature.com/articles/s41593-020-0653-3
Terry Sejnowski
2020-10-13 01:17:03

Thanks for point out that paper. Large-scale dynamical model are the way to go, with two caveats. First, the model should be multiscale, and second, time delays needs to be included. Most models ignore time delays, but they are essential for undnerstanding traveling waves.

Terry Sejnowski
2020-10-13 01:18:30

https://www.nature.com/articles/nrn.2018.20

Nature Reviews Neuroscience
Cortical travelling waves: mechanisms and computational principles
Advanced recording techniques have enabled the identification of travelling waves of neuronal activity in different areas of the cortex. Sejnowski and colleagues review these findings, consider the mechanisms by which travelling waves are generated and evaluate their possible roles in cortical function.
Original URL: https://www.nature.com/articles/nrn.2018.20