Event-driven Learning and Reward Modulation with Spike Timing Dependent Plasticity in Neuromorphic Computers

摘要

Systems and methods for event-driven learning with spike timing dependent plasticity in neuromorphic computers are disclosed. A neuromorphic processor includes a synapse coupled to a pre-synaptic neuron and coupled to a post-synaptic neuron, the synapse including a synapse memory to store a synapse weight and synapse spike timing dependent plasticity (STDP) circuit coupled to the synapse memory. The pre-synaptic neuron includes a pre-synaptic neuron memory to store a pre-synaptic neuron spike history and a pre-synaptic neuron STDP circuit coupled to the pre-synaptic neuron memory, the pre-synaptic neuron STDP circuit to, in response to the pre-synaptic neuron firing, initiate performing long term potentiation. The post-synaptic neuron includes a post-synaptic neuron memory storing a post-synaptic neuron spike history and a post-synaptic neuron STDP circuit coupled to the post-synaptic neuron memory to, in response to the post-synaptic neuron firing, initiate performing long term depression.