SUSI, GIANLUCA

SUSI, GIANLUCA  

Dipartimento di Ingegneria Civile e Ingegneria informatica  

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Risultati 1 - 20 di 21 (tempo di esecuzione: 0.041 secondi).
Data di pubblicazione Titolo Autore(i) Tipo File
1-gen-2015 A continuous-time spiking neural network paradigm Cristini, A; Salerno, M; Susi, G Contributo in libro
1-nov-2014 A low-cost Indoor and Outdoor terrestrial autonomous navigation model Susi, G; Cristini, A; Salerno, M; Daddario, E Intervento a convegno
1-gen-2019 A new design methodology to predict wind farm energy production by means of a spiking neural network-based system Brusca, S; Capizzi, G; Lo Sciuto, G; Susi, G Articolo su rivista
1-gen-2016 A spiking neural network-based model for anaerobic digestion process Lo Sciuto, G; Susi, G; Cammarata, G; Capizzi, G Intervento a convegno
1-gen-2011 Accurate latency characterization for very large asynchronous spiking neural networks Salerno, M; Susi, G; Cristini, A Intervento a convegno
1-gen-2016 An a VLSI driving circuit for memristor-based STDP Acciarito, S; Cristini, A; DI NUNZIO, L; Khanal, G; Susi, G Intervento a convegno
1-gen-2012 Asynchronous spiking neural networks: paradigma generale e applicazioni Susi, G Tesi di dottorato
1-gen-2013 AudiNect: an aid for the autonomous navigation of visually impaired people, based on virtual interface Salerno, M; Re, M; Cristini, A; Susi, G; Bertola, M; Daddario, E; Capobianco, F Articolo su rivista
1-set-2015 Bio-inspired temporal-decoding network topologies for the accurate recognition of spike patterns Susi, G Articolo su rivista
1-gen-2010 Comparison of different classifiers on a reduced set of features for mental tasks-based brain computer interface Saggio, G; Cavallo, P; Costantini, G; Susi, G; Quitadamo, L; Marciani, Mg; Bianchi, L Intervento a convegno
1-giu-2013 Continuous-time spiking neural networks: general paradigm and event-driven simulation Salerno, M; Susi, G; Cristini, A; Re, M; Cardarilli, Gc Intervento a convegno
1-gen-2021 Deep-MEG: spatiotemporal CNN features and multiband ensemble classification for predicting the early signs of Alzheimer’s disease with magnetoencephalography Giovannetti, A; Susi, G; Casti, P; Mencattini, A; Pusil, S; Lopez, Me; Di Natale, C; Martinelli, E Articolo su rivista
1-gen-2014 Event-driven simulation of continuous-time neural networks Salerno, M; Susi, G; Cristini, A; Re, M; Cardarilli, Gc Intervento a convegno
1-gen-2017 Hardware design of LIF with Latency neuron model with memristive STDP synapses Acciarito, S; Cardarilli, Gc; Cristini, A; DI NUNZIO, L; Fazzolari, R; Khanal, G; Re, M; Susi, G Articolo su rivista
1-gen-2016 Path multimodality in a feedforward SNN module, using LIF with latency model Susi, G; Cristini, A; Salerno, M Articolo su rivista
1-gen-2012 Spiking neural networks as analog dynamical systems: basic paradigm and simple applications Salerno, M; Susi, G; D’Annessa, A; Cristini, A; Sanfelice, Y Intervento a convegno
1-gen-2013 Spiking neural networks as continuous-time dynamical systems: fundamentals, elementary structures and simple applications Salerno, M; Susi, G; Cristini, A; Sanfelice, Y; D’Annessa, A Articolo su rivista
1-nov-2013 Spiking neural networks based on LIF with latency: Simulation and synchronization effects Cardarilli, Gc; Cristini, A; DI NUNZIO, L; Re, M; Salerno, M; Susi, G Intervento a convegno
1-gen-2014 Spiking Neural Networks: paradigma generale e applicazioni. Susi, G Monografia
1-gen-2017 Synaptic behaviour in ZnO-rGO composites thin film memristor Khanal, G; Acciarito, S; Cardarilli, G; Chakraborty, A; Di Nunzio, L; Fazzolari, R; Cristini, A; Re, M; Susi, G Articolo su rivista