FERNANDO
MAESTU UNTURBE
Catedrático de universidad
University of Rome Tor Vergata
Roma, ItaliaUniversity of Rome Tor Vergata-ko ikertzaileekin lankidetzan egindako argitalpenak (4)
2021
-
FNS allows efficient event-driven spiking neural network simulations based on a neuron model supporting spike latency
Scientific Reports, Vol. 11, Núm. 1
-
nMNSD—A Spiking Neuron-Based Classifier That Combines Weight-Adjustment and Delay-Shift
Frontiers in Neuroscience, Vol. 15
2019
-
Towards neuro-inspired electronic oscillators based on the dynamical relaying mechanism
International Journal on Advanced Science, Engineering and Information Technology, Vol. 9, Núm. 2, pp. 569-574
2018
-
A neuro-inspired system for online learning and recognition of parallel spike trains, based on spike latency, and heterosynaptic STDP
Frontiers in Neuroscience, Vol. 12