Reservoir computing (or training recurrent neural networks)
Channel: Zachary Kilpatrick
Date: 2020-03-28

Gives some intuition concerning how initially random recurrent neural networks can be trained to produce complex behaviors mimicking input/output relationships of recurrent neural networks in the brain. The important thing here is that these networks can produce complex temporal dynamics (even in the absence of input) unlike the static feedforward neural networks we discussed before.