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This is an excellent analogy. Aside from “they’re both networks” (which is almost a truism), there’s really nothing in common between an artificial neural netwo
by cgearhart 2y ago
This is an excellent analogy. Aside from “they’re both networks” (which is almost a truism), there’s really nothing in common between an artificial neural network and a brain.
- runarberg 2y agoNeurons also adjust the signal strength based on previous stimuli, which in effect makes the future response weighted. So it is not far off—albeit a gross simplification—to call the brain a weight matrix. As I learned it, artificial neural networks were modeled after a simple model for the brain. The early (successful) models were almost all reinforcement models, which is also one of the most successful model for animal (including human) learning.