Michela Chiappalone, PhD

Affiliations: 
Neuroscience and Brain Technologies Italian Institute of Technology, Genoa, United States 
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"Michela Chiappalone"
Mean distance: 13.92 (cluster 17)
 
SNBCP

Parents

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Massimo Grattarola grad student IIT
Sergio Martionia grad student IIT
Ferdinando A. Mussa-Ivaldi grad student IIT
John A. Assad research scientist IIT

Collaborators

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Paolo Bonifazi collaborator IIT
Marcello Mulas collaborator 2010-2010 IIT
BETA: Related publications

Publications

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De Venuto G, Beaubois R, Zahedi S, et al. (2025) Recapitulating the electrophysiological features of in vivo biological networks by using a real-time hardware Spiking Neural Network. Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual International Conference. 2024: 1-4
Chiappalone M, Pedrocchi A, Abuarqub S, et al. (2025) Editorial: Women in neuroengineering and neurotechnologies. Frontiers in Neuroscience. 19: 1542839
Di Domenico D, Forsiuk I, Müller-Cleve S, et al. (2025) Reach&Grasp: a multimodal dataset of the whole upper-limb during simple and complex movements. Scientific Data. 12: 233
Parodi G, Zanini G, Collo L, et al. (2024) In vitro electrophysiological drug testing on neuronal networks derived from human induced pluripotent stem cells. Stem Cell Research & Therapy. 15: 433
Marinelli A, Boccardo N, Canepa M, et al. (2024) A compact solution for vibrotactile proprioceptive feedback of wrist rotation and hand aperture. Journal of Neuroengineering and Rehabilitation. 21: 142
Beaubois R, Cheslet J, Duenki T, et al. (2024) BiœmuS: A new tool for neurological disorders studies through real-time emulation and hybridization using biomimetic Spiking Neural Network. Nature Communications. 15: 5142
Tanzarella S, Di Domenico D, Forsiuk I, et al. (2024) Arm muscle synergies enhance hand posture prediction in combination with forearm muscle synergies. Journal of Neural Engineering. 21
Parodi G, Zanini G, Chiappalone M, et al. (2024) Electrical and chemical modulation of homogeneous and heterogeneous human-iPSCs-derived neuronal networks on high density arrays. Frontiers in Molecular Neuroscience. 17: 1304507
Zanini G, Parodi G, Chiappalone M, et al. (2023) Investigating the reliability of the evoked response in human iPSCs-derived neuronal networks coupled to micro-electrode arrays. Apl Bioengineering. 7: 046121
Pastore VP, Parodi G, Brofiga M, et al. (2023) An efficient deep learning approach to identify dynamics in in vitro neural networks. Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual International Conference. 2023: 1-4
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