64 min listen
BI 180 Panel Discussion: Long-term Memory Encoding and Connectome Decoding
FromBrain Inspired
ratings:
Length:
89 minutes
Released:
Dec 11, 2023
Format:
Podcast episode
Description
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Welcome to another special panel discussion episode.
I was recently invited to moderate at discussion amongst 6 people at the annual Aspirational Neuroscience meetup. Aspirational Neuroscience is a nonprofit community run by Kenneth Hayworth. Ken has been on the podcast before on episode 103. Ken helps me introduce the meetup and panel discussion for a few minutes. The goal in general was to discuss how current and developing neuroscience technologies might be used to decode a nontrivial memory from a static connectome - what the obstacles are, how to surmount those obstacles, and so on.
There isn't video of the event, just audio, and because we were all sharing microphones and they were being passed around, you'll hear some microphone type noise along the way - but I did my best to optimize the audio quality, and it turned out mostly quite listenable I believe.
Aspirational Neuroscience
Panelists:
Anton Arkhipov, Allen Institute for Brain Science.
@AntonSArkhipov
Konrad Kording, University of Pennsylvania.
@KordingLab
Tomás Ryan, Trinity College Dublin.
@TJRyan_77
Srinivas Turaga, Janelia Research Campus.
Dong Song, University of Southern California.
@dongsong
Zhihao Zheng, Princeton University.
@zhihaozheng
0:00 - Intro
1:45 - Ken Hayworth
14:09 - Panel Discussion
Welcome to another special panel discussion episode.
I was recently invited to moderate at discussion amongst 6 people at the annual Aspirational Neuroscience meetup. Aspirational Neuroscience is a nonprofit community run by Kenneth Hayworth. Ken has been on the podcast before on episode 103. Ken helps me introduce the meetup and panel discussion for a few minutes. The goal in general was to discuss how current and developing neuroscience technologies might be used to decode a nontrivial memory from a static connectome - what the obstacles are, how to surmount those obstacles, and so on.
There isn't video of the event, just audio, and because we were all sharing microphones and they were being passed around, you'll hear some microphone type noise along the way - but I did my best to optimize the audio quality, and it turned out mostly quite listenable I believe.
Aspirational Neuroscience
Panelists:
Anton Arkhipov, Allen Institute for Brain Science.
@AntonSArkhipov
Konrad Kording, University of Pennsylvania.
@KordingLab
Tomás Ryan, Trinity College Dublin.
@TJRyan_77
Srinivas Turaga, Janelia Research Campus.
Dong Song, University of Southern California.
@dongsong
Zhihao Zheng, Princeton University.
@zhihaozheng
0:00 - Intro
1:45 - Ken Hayworth
14:09 - Panel Discussion
Released:
Dec 11, 2023
Format:
Podcast episode
Titles in the series (99)
BI 100.4 Special: What Ideas Are Holding Us Back?: In the 4th installment of our 100th episode celebration, previous guests responded to the question: What ideas, assumptions, or terms do you think is holding back neuroscience/AI, and why? As usual, the responses are varied and wonderful! Ti by Brain Inspired