The original protocol of Paired Associative Stimulation (PAS) in humans implies repetitive
cortical and peripheral nerve stimuli, delivered at specific inter-stimulus intervals, able to …

Memristors are promising components for applications in nonvolatile memory, logic circuits,
and neuromorphic computing. In this paper, a novel circuit for memristor-based multilayer …

Recent advances in neurosciences have revealed that neural information in the brain is
encoded through precisely timed spike trains, not only through the neural firing rate. This …

Spiking Neural Networks (SNN) are third generation neural networks and are considered to
be the most biologically plausible so far. As a relative newcomer to the field of artificial …

The purpose of supervised learning with temporal encoding for spiking neurons is to make
the neurons emit a specific spike train encoded by precise firing times of spikes. The …

This report provides a wide-angle survey on computational paradigms which have a
possible bearing on the development of unconventional computational substrates and …

Memory is often defined as the mental capacity of retaining information about facts, events,
procedures and more generally about any type of previous experience. Memories are …

The idea of getting inspiration from the way brains perform neural computation for building
new and better algorithms has been present in computer science for more than half a …

We show by numerical simulations that a neuron with additive Spike-Timing-Dependent
Plasticity with restricted symmetric nearest-neighbor spike pairing scheme, receiving …

In this study, we examine whether short-term plasticity (STP) mediates learning rules
governing long-term synaptic plasticity (LTSP). More specifically, we examine how the initial …