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Brain Inspired
BI 180 Panel Discussion: Long-term Memory Encoding and Connectome Decoding
Dec 11, 2023
Panel discussion on using neuroscience technologies to decode memory from connectomes, featuring a group of experts including Kenneth Hayworth. Topics include advancements in connectomics, decoding memory and connectomes, analyzing connectome complexity, the role of molecules, deep learning parallelism, studying connectome data with cultured neurons, understanding neuronal interactions, and the rules of connectome interpretation.
01:29:27
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Quick takeaways
- Understanding individual differences and correlating multiple connectomes are crucial in decoding non-trivial memory from a static connectome.
- Decoding memories from connectomes requires integrating biophysics and studying the relationship between individual neuronal function and network dynamics.
Deep dives
Aspirational Neuroscience and Connectomics
Aspirational neuroscience is an outreach project that aims to bring neuroscientists together to explore the possibilities of mapping larger pieces of brains at the synaptic level. Recent advancements in electron microscopy connectomics have allowed mapping of the fruit fly brain and a cubic millimeter of mouse cortex. Expansion microscopy has also shown promise in connectomics using light microscopy. The goal of the panel discussion was to discuss how current and developing neuroscience technologies can decode non-trivial memory from a static connectome.
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