University of Rome Tor Vergata-ko ikertzaileekin lankidetzan egindako argitalpenak (9)

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

2020

  1. The Self-Awareness Multilevel Assessment Scale, a New Tool for the Assessment of Self-Awareness After Severe Acquired Brain Injury: Preliminary Findings

    Frontiers in Psychology, Vol. 11

2019

  1. 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. The role of affect-driven impulsivity in gambling cognitions: A convenience-sample study with a Spanish version of the Gambling-Related Cognitions Scale

    Journal of Behavioral Addictions, Vol. 6, Núm. 1, pp. 51-63

2009

  1. Opposite clinical phenotypes of glucokinase disease: Description of a novel activating mutation and contiguous inactivating mutations in human glucokinase (GCK) gene

    Molecular Endocrinology, Vol. 23, Núm. 12, pp. 1983-1989