Construct · 1 fields · 1 citations
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In computational neuroscience, three-factor learning rule refers to learning rule in which coincident pre- and postsynaptic activity sets an eligibility trace that a third, neuromodulatory signal converts into lasting synaptic change. This meaning comes from Frémaux (2016) in Frontiers in Neural Circuits.[1]
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