Floating gate synapses with spike time dependent plasticity

This paper demonstrates a single transistor synapse that stores a weight in a non-volatile manner, computes a biological EPSP, and also demonstrates biological learning rules such as LTP, LTD and STDP. It also describes a highly scalable architecture of an array of synapses that can implement the described learning rules. Parameters for weight update in a 0.35μm process were extracted and used to predict changes in weight based on the time difference between pre-synaptic and post-synaptic spike times.