AI deciphers the brain code: from real synapse to a neuron's digital twin
summary
The talk describes using AI-driven methods to decode neuronal activity and build digital neuron twins, combining real synapse data with computational models. It covers assembling and motivating a young interdisciplinary team at the intersection of biology and IT to apply these tools for understanding the brain.
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chapters (11)
- 0:00Introduction
- 5:28What are neurons
- 10:00Microscopy problems and data preprocessing
- 16:40Synapse analysis and shapes
- 22:00Alzheimer's and synapses
- 29:23Spherical harmonics for synapses
- 31:09Mouse brain microscopy
- 35:44Mouse behavior analysis
- 36:07Neuron activity and models
- 41:49Q&A
- 43:13Summary
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