Publikationen in Zusammenarbeit mit Forschern von University of Rome Tor Vergata (21)

2021

  1. A model of the early visual system based on parallel spike-sequence detection, showing orientation selectivity

    Biology, Vol. 10, Núm. 8

  2. Deep-MEG: spatiotemporal CNN features and multiband ensemble classification for predicting the early signs of Alzheimer’s disease with magnetoencephalography

    Neural Computing and Applications, Vol. 33, Núm. 21, pp. 14651-14667

  3. FNS allows efficient event-driven spiking neural network simulations based on a neuron model supporting spike latency

    Scientific Reports, Vol. 11, Núm. 1

  4. nMNSD—A Spiking Neuron-Based Classifier That Combines Weight-Adjustment and Delay-Shift

    Frontiers in Neuroscience, Vol. 15

2019

  1. A computational approach for the understanding of Stochastic resonance phenomena in the human auditory system

    International Journal on Advanced Science, Engineering and Information Technology, Vol. 9, Núm. 4, pp. 1474-1480

  2. 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

  1. 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

2017

  1. Hardware design of LIF with Latency neuron model with memristive STDP synapses

    Integration, the VLSI Journal, Vol. 59, pp. 81-89

  2. Synaptic behaviour in ZnO-rGO composites thin film memristor

    Electronics Letters, Vol. 53, Núm. 5, pp. 296-298

  3. ZnO-rGO composite thin film resistive switching device: Emulating biological synapse behavior

    Lecture Notes in Electrical Engineering

2016

  1. A spiking neural network-based model for anaerobic digestion process

    2016 International Symposium on Power Electronics, Electrical Drives, Automation and Motion, SPEEDAM 2016

  2. An a VLSI driving circuit for memristor-based STDP

    2016 12th Conference on Ph.D. Research in Microelectronics and Electronics, PRIME 2016

  3. Path multimodality in a feedforward snn module, using lif with latency model

    Neural Network World, Vol. 26, Núm. 4, pp. 363-376

2015

  1. A continuous-time spiking neural network paradigm

    Smart Innovation, Systems and Technologies, Vol. 37, pp. 49-60

2014

  1. A low-cost indoor and outdoor terrestrial autonomous navigation model

    2014 22nd Telecommunications Forum, TELFOR 2014 - Proceedings of Papers

  2. A low-cost indoor and outdoor terrestrial autonomous navigation model

    2014 22ND TELECOMMUNICATIONS FORUM TELFOR (TELFOR)

2013

  1. Spiking Neural Networks based on LIF with Latency: Simulation and Synchronization Effects

    2013 ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS AND COMPUTERS

  2. Spiking neural networks based on LIF with latency: Simulation and synchronization effects

    Conference Record - Asilomar Conference on Signals, Systems and Computers

2011

  1. Accurate latency characterization for very large asynchronous spiking neural networks

    BIOINFORMATICS 2011 - Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms

2010

  1. COMPARISON OF DIFFERENT CLASSIFIERS ON A REDUCED SET OF FEATURES FOR MENTAL TASKS-BASED BRAIN COMPUTER INTERFACE

    BIOSIGNALS 2010: PROCEEDINGS OF THE THIRD INTERNATIONAL CONFERENCE ON BIO-INSPIRED SYSTEMS AND SIGNAL PROCESSING