Publicaciones (42) Publicaciones de GIANLUCA SUSI

2024

  1. A Multiscale Closed-Loop Neurotoxicity Model of Alzheimer’s Disease Progression Explains Functional Connectivity Alterations

    eNeuro, Vol. 11, Núm. 4

  2. Computational models as an inspiration to neuromodulation in space-phase-amplitude

    An Insight into Neuromodulation: Current Trends and Future Challenges (Nova Science Publishers, Inc.), pp. 305-330

2023

  1. Corrigendum: Understanding the effects of cortical gyrification in tACS: insights from experiments and computational models (Frontiers in Neuroscience, (2023), 17, (1223950), 10.3389/fnins.2023.1223950)

    Frontiers in Neuroscience

  2. INTERACTIVE RESOURCES TO ENHANCE SELF-LEARNING IN HIGHER EDUCATION

    EDULEARN Proceedings

  3. Modeling the role of the thalamus in resting-state functional connectivity: Nature or structure

    PLoS computational biology, Vol. 19, Núm. 8, pp. e1011007

  4. The Social Machine: Artificial Intelligence (AI) Approaches to Theory of Mind

    Logic, Argumentation and Reasoning (Springer Science and Business Media B.V.), pp. 681-722

  5. Understanding the effects of cortical gyrification in tACS: insights from experiments and computational models

    Frontiers in Neuroscience, Vol. 17

2022

  1. Editorial: Improving Neuroprosthetics Through Novel Techniques for Processing Electrophysiological Human Brain Signals

    Frontiers in Neuroscience

2021

  1. A computational model to guide the functional decoupling of two brain regions with transcranial alternating current stimulation

    Brain Stimulation, Vol. 14, Núm. 6, pp. 1613

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

    Biology, Vol. 10, Núm. 8

  3. Comparison of Resampling Techniques for Imbalanced Datasets in Machine Learning: Application to Epileptogenic Zone Localization From Interictal Intracranial EEG Recordings in Patients With Focal Epilepsy

    Frontiers in Neuroinformatics, Vol. 15

  4. 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

  5. Design of an analog Multi-Neuronal spike-Sequence Detector (MNSD) based on a 180nm CMOS leaky integrate & fire with latency neuron

    Proceedings of the 2021 1st International Conference on Advances in Electrical, Computing, Communications and Sustainable Technologies, ICAECT 2021

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

    Scientific Reports, Vol. 11, Núm. 1

  7. Modeling resting state MEG functional connectivity of the prodromal phase of AD using The Virtual Brain

    Alzheimer's & Dementia, Vol. 17, Núm. S4

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

    Frontiers in Neuroscience, Vol. 15

2020

  1. A deep CNN‐based approach for predicting MCI to AD conversion

    Alzheimer's Association International Conference (AAIC) 2020

  2. A spiking neural network-based long-term prediction system for biogas production

    Neural Networks, Vol. 129, pp. 271-279

  3. Magnetoencephalography in Alzheimer Disease : Correlation With Current Biomarkers

    Fifty Years of Magnetoencephalography (Oxford University Press), pp. 390-402

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