BI 180 Panel Discussion: Long-term Memory Encoding and Connectome Decoding @braininspired
BI 180 Panel Discussion: Long-term Memory Encoding and Connectome Decoding  @braininspired
Uploaded December 2023 | Updated September 2026, 12 hours ago
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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.

0:00 - Intro
1:45 - Ken Hayworth
14:09 - Panel Discussion
BI 180 Panel Discussion: Long-term Memory Encoding and Connectome DecodingBI 226 Tatiana Engel: The High and Low Dimensional BrainBI 167 Panayiota Poirazi: AI Brains Need DendritesBI 216 Woodrow Shew and Keith Hengen: The Nature of Brain CriticalityBI 140 Jeff Schall: Decisions and Eye MovementsBI 240 Cristopher Moore: Cognition and Computational ComplexityBI 191 Damian Kelty-Stephen: Fractal Turbulent Cascading IntelligenceReevaluating Criticality in NeuroscienceBI NMA 01: Machine Learning PanelBayesian Brain- A Historical PerspectiveBI 166 Nick Enfield: Language vs. RealityBI 225 Henk de Regt: Understanding in Machines and Humans
Brain Inspired |

BI 180 Panel Discussion: Long-term Memory Encoding and Connectome Decoding

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