So classical conditioning in humans requires special cells in the Cerebellum (Purkinje cells), which can even do single-cell learning. Which artificial neurons can't do, as only weights (artificial synapses) are updated. So how is classical conditioning actually implemented in artificial neural networks? I assume there is some minimum network which makes it work.
> special cells in the Cerebellum (Purkinje cells), which can even do single-cell learning. As a neuroscience novice, I've always assumed that something about the gross model of the neuron, as far as I understand it, cannot be correct or is incomplete. Because I never understood why single cells aren't already performing single cell learning, given that there are always far more dendrites than axons. Since this chara…
I think this is above and beyond a simple mathematical weight and the nueron structures around these dendrite-axon pathways change or express their genes differently over time.