Communication by binary and sparse spikes is a key factor for the energy...
Distributed sparse block codes (SBCs) exhibit compact representations fo...
Deep spiking neural networks (SNNs) offer the promise of low-power artif...
Visual oddity task was conceived as a universal ethnic-independent analy...
Continually learning new classes from a few training examples without
fo...
Continually learning new classes from fresh data without forgetting prev...
Traditional neural networks require enormous amounts of data to build th...
In this paper, we propose a system for file classification in large data...
Hyperdimensional computing (HDC) is an emerging computing framework that...