Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Alessandro Vato"'
Autor:
Martina Putzolu, Jessica Samogin, Gaia Bonassi, Carola Cosentino, Susanna Mezzarobba, Alessandro Botta, Laura Avanzino, Dante Mantini, Alessandro Vato, Elisa Pelosin
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract Motor imagery (MI) is the mental execution of actions without overt movements that depends on the ability to imagine. We explored whether this ability could be related to the cortical activity of the brain areas involved in the MI network. T
Externí odkaz:
https://doaj.org/article/6ea13169f0c944ea8e2c31dacb980c49
Autor:
Martina Putzolu, Jessica Samogin, Carola Cosentino, Susanna Mezzarobba, Gaia Bonassi, Giovanna Lagravinese, Alessandro Vato, Dante Mantini, Laura Avanzino, Elisa Pelosin
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-11 (2022)
Abstract The aim of this study was to investigate differences between usual and complex gait motor imagery (MI) task in healthy subjects using high-density electroencephalography (hdEEG) with a MI protocol. We characterized the spatial distribution o
Externí odkaz:
https://doaj.org/article/fd81737387704deba2b19afbee6e182b
Publikováno v:
Frontiers in Neuroscience, Vol 11 (2017)
Brain-machine interfaces (BMIs) promise to improve the quality of life of patients suffering from sensory and motor disabilities by creating a direct communication channel between the brain and the external world. Yet, their performance is currently
Externí odkaz:
https://doaj.org/article/92a73a87d8ba4996a3b41c7a9f1b5e97
Autor:
Fabio Boi, Timoleon Moraitis, Vito De Feo, Francesco Diotalevi, Chiara Bartolozzi, Giacomo Indiveri, Alessandro Vato
Publikováno v:
Frontiers in Neuroscience, Vol 10 (2016)
Bidirectional brain-machine interfaces (BMIs) establish a two-way direct communication link4 between the brain and the external world. A decoder translates recorded neural activity into motor5 commands and an encoder delivers sensory information coll
Externí odkaz:
https://doaj.org/article/cf925bbd5ee4404ca4ab8d80697a39ab
Autor:
Alessandro Sottocornola Spinelli, Emma Maggiolini, Marianna Semprini, Alessandro Vato, Gian Nicola Angotzi, Gytis Baranauskas, Riccardo Gusmeroli, Guido Zambra, Maria Ceravolo, Andrea Bonfanti, Andrea Leonardo Lacaita
Publikováno v:
Journal of Low Power Electronics and Applications, Vol 2, Iss 4, Pp 211-241 (2012)
This paper reports a multi-channel neural spike recording system-on-chip with digital data compression and wireless telemetry. The circuit consists of 16 amplifiers, an analog time-division multiplexer, a single 8 bit analog-to-digital converter, a d
Externí odkaz:
https://doaj.org/article/731a0f27b0a942c296d3f1a8d8881712
Autor:
Alessandro Vato, Francois D Szymanski, Marianna Semprini, Ferdinando A Mussa-Ivaldi, Stefano Panzeri
Publikováno v:
PLoS ONE, Vol 9, Iss 3, p e91677 (2014)
We examine bidirectional brain-machine interfaces that control external devices in a closed loop by decoding motor cortical activity to command the device and by encoding the state of the device by delivering electrical stimuli to sensory areas. Alth
Externí odkaz:
https://doaj.org/article/07dd14e5229e4a7b8ee814f0b0ecc44f
Autor:
Alessandro Vato, Marianna Semprini, Emma Maggiolini, Francois D Szymanski, Luciano Fadiga, Stefano Panzeri, Ferdinando A Mussa-Ivaldi
Publikováno v:
PLoS Computational Biology, Vol 8, Iss 7, p e1002578 (2012)
Progress in decoding neural signals has enabled the development of interfaces that translate cortical brain activities into commands for operating robotic arms and other devices. The electrical stimulation of sensory areas provides a means to create
Externí odkaz:
https://doaj.org/article/9c85eda6e6aa4cd5adb7ac3fe8295cc1
Autor:
Sandro Mussa-Ivaldi, Simon T Alford, Michela Chiappalone, Luciano Fadiga, Amir Karniel, Michael Kositsky, Emma Maggiolini, Stefano Panzeri, Vittorio Sanguineti, Marianna Semprini, Alessandro Vato
Publikováno v:
Frontiers in Neuroscience, Vol 3 (2010)
Brain-machine interfaces (BMIs) are mostly investigated as a means to provide paralyzed people with new communication channels with the external world. However, the communication between brain and artificial devices also offers a unique opportunity t
Externí odkaz:
https://doaj.org/article/849a8871e0d945dda27025f1e5f28a7b
Autor:
Martina Putzolu, Jessica Samogin, Gaia Bonassi, Carola Cosentino, Susanna Mezzarobba, Alessandro Botta, Laura Avanzino, Dante Mantini, Alessandro Vato, Elisa Pelosin
Motor imagery (MI) is the mental execution of actions without overt movements that depends on the ability to imagine. We explored whether this ability could be related to the cortical activity of the brain areas involved in the MI network. To this go
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ad588958ec40e172f37adf521c5a74af
https://doi.org/10.21203/rs.3.rs-2777321/v1
https://doi.org/10.21203/rs.3.rs-2777321/v1
Autor:
null Tao Xie, null Zehan Wu, null Gerwin Schalk, null Yusheng Tong, null Alessandro Vato, null Nataly Raviv, null Qinglong Guo, null Huanpeng Ye, null Xinjun Sheng, null Xiangyang Zhu, null Peter Brunner, null Liang Chen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b11c1a5fb6eb5b2cb60bcf54e74aa15e
https://doi.org/10.1088/1741-2552/ac7dfd/v3/response1
https://doi.org/10.1088/1741-2552/ac7dfd/v3/response1