Plasticity & Networks

A synapse is a number that learns, and a brain full of them is a matrix. These three lessons follow that idea up the scale: a single weight growing under Hebb's rule, a layer of neurons computing a matrix-vector product, and a small network whose stored memories are attractors — patterns it falls back into from a corrupted start. The linear algebra chapters do the heavy lifting; here it fires.