Artificial neural networks increasingly involve spiking dynamics to permit greater
computational efficiency. This becomes especially attractive for on-chip implementation …

A human brain has billions of processing elements operating simultaneously; the only
practical way to model this computationally is with a massively-parallel computer. A …

Recent papers have shown the possibility to implement large scale neural network models
that perform complex algorithms in a biologically realistic way. However, such models have …

Certain aspects of the present disclosure generally relate to inferring missing post-synaptic
events (ie," post ghosts”) and adjusting spike-timing dependent plasticity (STDP) …