GIANLUCA
SUSI
Profesor ayudante doctor
Publicaciones en las que colabora con GIANLUCA SUSI (18)
2024
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A Multiscale Closed-Loop Neurotoxicity Model of Alzheimer’s Disease Progression Explains Functional Connectivity Alterations
eNeuro, Vol. 11, Núm. 4
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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
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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
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Modeling the role of the thalamus in resting-state functional connectivity: Nature or structure
PLoS computational biology, Vol. 19, Núm. 8, pp. e1011007
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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
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Understanding the effects of cortical gyrification in tACS: insights from experiments and computational models
Frontiers in Neuroscience, Vol. 17
2021
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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
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A model of the early visual system based on parallel spike-sequence detection, showing orientation selectivity
Biology, Vol. 10, Núm. 8
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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
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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
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FNS allows efficient event-driven spiking neural network simulations based on a neuron model supporting spike latency
Scientific Reports, Vol. 11, Núm. 1
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Modeling resting state MEG functional connectivity of the prodromal phase of AD using The Virtual Brain
Alzheimer's & Dementia, Vol. 17, Núm. S4
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nMNSD—A Spiking Neuron-Based Classifier That Combines Weight-Adjustment and Delay-Shift
Frontiers in Neuroscience, Vol. 15
2020
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A deep CNN‐based approach for predicting MCI to AD conversion
Alzheimer's Association International Conference (AAIC) 2020
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Magnetoencephalography in Alzheimer Disease : Correlation With Current Biomarkers
Fifty Years of Magnetoencephalography (Oxford University Press), pp. 390-402
2019
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Healthy and Pathological Neurocognitive Aging: Spectral and Functional Connectivity Analyses Using Magnetoencephalography
Oxford Research Encyclopedia of Psychology (Oxford University Press)
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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
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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