Representative Publications

Books and Book Chapters
• Semprini M., Boi F. and Vato A. (2016) Bidirectional Brain-Machine Interfaces. In: Closed Loop
Neuroscience, edited by El Hady, Academic Press, San Diego (U.S.), pp. 201-212.
• Vato A. (2015) The cyborgs are coming: neuroscience and bioengineering meet - Arrivano i cyborg.
Dove neuroscienze e bioingengeria si incontrano, Italian language, Hoepli Press, Milan (Italy).
• Bonzano L., Vato A., Chiappalone M. and Martinoia S. (2007) Modulation of electrophysiological
activity in neural networks: towards a bioartificial living system. In: Handbook of Neural Engineering,
edited by Matin Akay, Wiley/IEEE Press, New York (U.S.), pp. 29-40.
• Martinoia S., Chiappalone M. and Vato A. (2004) Bioartificial neuronal networks: coupling networks of
biological neuron to microtransducer arrays. In: Smart adaptive system on silicon, edited by Valle M.,
Kluwer Academic Publisher, Boston (U.S.), pp. 285-302.


Journal Articles
1. Xie, T., Wu, Z., Schalk, G., Tong, Y., Vato, A., Raviv, N., Guo, Q., Ye, H., Sheng, X., Zhu, X., Brunner,
P. & Chen, L. (2022). Automated intraoperative central sulcus localization and somatotopic mapping
using median nerve stimulation. Journal of Neural Engineering, 19(4), 046020.
2. Putzolu, M., Samogin J., Cosentino C., Mezzarobba S., Bonassi G., Lagravinese G., Vato A., Mantini
D., Avanzino L., and Pelosin E. (2022) Neural oscillations during motor imagery of complex gait: an
HdEEG study. Scientific Reports 12, 4314.
3. De Feo, V., Boi, F., Safaai, H., Onken, A., Panzeri, S., and Vato, A. (2017) State-dependent decoding
algorithms improve the performance of a bidirectional BMI in anesthetized rats. Frontiers in
Neuroscience, 11, 269.
4. Boi F., Moratis T., De Feo V., Diotalevi F., Bartolozzi C., Indiveri G., and Vato A. (2016) A bidirectional
brain-machine interface featuring a neuromorphic hardware decoder. Frontiers in Neuroscience, 10,
5. Panzeri S., Safaai H., De Feo V., and Vato A. (2016) Implications of the dependence of neuronal
activity on neural network states for the design of brain-machine interfaces. Frontiers in Neuroscience,
10, 165.
6. Angotzi G.N., Baranauskas G., Vato A., Bonfanti A., Zambra G., Maggiolini E., Semprini M., Ricci D.,
Ansaldo A, Castagnola E., Ius T., Skrap M., and Fadiga L. (2015) A Compact and Autoclavable System
for Acute Extracellular Neural Recording and Brain Pressure Monitoring for Humans. IEEE
Transactions on Biomedical Circuits and Systems 9(1), 50-59.
7. Angotzi G.N., Boi F., Zordan S., Bonfanti A., and Vato A. (2014) A programmable closed-loop recording
and stimulating wireless system for behaving small laboratory animals. Scientific Reports 4, 5963.
8. Vato A., Szymanski F.D., Semprini M., Mussa-Ivaldi F.A., and Panzeri S. (2014) A bidirectional brainmachine interface algorithm that approximates arbitrary force fields. PLoS One 9(3), e91677.