A three-compartment neuron model with burst-dependent comparison learning solves spatio-temporal tasks like 3D trajectory recall and supports two-level hierarchical imitation learning.
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Beyond spiking networks: the computational advantages of dendritic amplification and input segregation
A three-compartment neuron model with burst-dependent comparison learning solves spatio-temporal tasks like 3D trajectory recall and supports two-level hierarchical imitation learning.