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Distributed cerebellar plasticity implements generalized multiple-scale memory components in real-robot sensorimotor tasks., , , , , и . Frontiers Comput. Neurosci., (2015)Interference Between Cognitive and Motor Recovery in Elderly Dementia Patients Through a Holistic Tele-Rehabilitation Platform., , , , и . MobiHealth, том 192 из Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, стр. 359-366. Springer, (2016)Dynamic Redistribution of Plasticity in a Cerebellar Spiking Neural Network Reproducing an Associative Learning Task Perturbed by TMS., , , , и . Int. J. Neural Syst., 28 (9): 1850020:1-1850020:20 (2018)Production and diffusion model of Nitric Oxide for bioinspired spiking neural networks., , , , и . NER, стр. 457-460. IEEE, (2021)Data for: Leveraging Deep Learning Techniques to Improve P300-Based Brain Computer Interfaces., , , , и . (мая 2022)Modeling the cerebellum, from neurons to healthy and pathological behaviors: student research abstract.. SAC, стр. 313-314. ACM, (2016)Bioinspired Adaptive Spiking Neural Network to Control NAO Robot in a Pavlovian Conditioning Task., , , и . BioRob, стр. 142-147. IEEE, (2018)Computational cerebellar models and their embodiment in behavioral loops to understand neural bases of motor learning.. Polytechnic University of Milan, Italy, (2018)Spiking cerebellar model with multiple plasticity sites reproduces eye blinking classical conditioning., , , , и . NER, стр. 296-299. IEEE, (2015)Integration of paired spiking cerebellar models for voluntary movement adaptation in a closed-loop neuro-robotic experiment. A simulation study., , , , и . CBS, стр. 110-115. IEEE, (2019)