◐ learning · kind model · level 1 · 10h
- Requiere: Connectomics · Spiking Neural Network (SNN)
Using a real connectome’s connectivity as the fixed architecture (inductive bias) of a trainable network, learning only neuron/synapse parameters. The Lappalainen 2024 line — the core thesis direction.
Connectomics is the production and study of connectomes, which are comprehensive maps of connections within an organism’s nervous system. Study of neuronal wiring diagrams looks at how they contribute to the health and behavior of an organism. There are two very different types of connectomes; microscale and macroscale. Microscale Connectomics maps every neuron and synapse in an organism or chunk of tissue, typically using Electron Microscopy and histology. This level of detail is only possible for small animals or tiny portions of large animal brains.
Enlaces
- Requiere: Connectomics · Spiking Neural Network (SNN)
- Cita: Dorkenwald et al. (2024) — FlyWire