[yid]

But if the hypothesis is that thousands of little local functions can learn to recognize feature vectors, that's been a well-tested assumption in discriminative machine learning models for decades. Is there a biological twist to this finding?

[al-king]

It's mostly interesting biologically - it relates specifically to how synapses' vicinity to the main cell body affects their action, or more generally how the spatial configuration of a neuron's connections affects its computational function.

The gist seems to be that more distant synapses can't initiate an action potential, or firing of the neuron, but can prime the neuron to fire in reaction to synapses closer to the cell body. This means that outer synapses can provide 'context', e.g. indicate that prior steps in a sequence have been recognised, while inner synapses can cause firing if the context is fulfilled, i.e. context + necessary condition (recognition of the most recent step in the sequence) = action potential.

It's not computationally surprising, but it is a specific cellular mechanism.