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.

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.

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.

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.

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, 10,563.

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.

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.

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.

Vato A., Szymanski F.D., Semprini M., Mussa-Ivaldi F.A. and Panzeri S. (2014). A bidirectional brain-machine interface algorithm that approximates arbitrary force-fields. PLoS One 9(3), e91677.

Vato A., Semprini M., Maggiolini E., Szymanski F.D., Fadiga L., Panzeri S. and Mussa-Ivaldi F.A. (2012). Shaping the dynamics of a bidirectional neural interface. PLoS Computational Biology 8(7), e1002578.

Bonfanti A., Ceravolo M., Zambra G., Gusmeroli R., Baranauskas G., Angotzi G.N., Vato A., Maggiolini E., Semprini M., Spinelli A.S. and Lacaita A.L. (2012). A Multi-Channel Low-Power System-on-Chip for in Vivo Recording and Wireless Transmission of Neural Spikes. Journal of Low Power Electronics and Applications 2(4), 211–241.

Baranauskas G., Maggiolini E., Vato A., Angotzi G., Bonfanti A., Zambra G., Spinelli A. and Fadiga L. (2012). Origins of 1/f2 scaling in the power spectrum of intracortical local field potential. Journal of Neurophysiology 107(3), 984-994.

Baranauskas G., Maggiolini E., Castagnola E., Ansaldo A., Mazzoni A., Angotzi G.N., Vato A., Ricci D., Panzeri S. and Fadiga, L. (2011). Carbon nanotube composite coating of neural microelectrodes preferentially improves the multiunit signal-to-noise ratio. Journal of Neural Engineering 8(6), 066013.

Bonfanti A., Zambra G., Baranauskas G., Angotzi G.N., Maggiolini E., Semprini M., Vato A., Fadiga L., Spinelli A.S. and Lacaita, A.L. (2011). A wireless microsystem with digital data compression for neural spike recording. Microelectronic Engineering 88(8), 1672-1675.

Mussa-Ivaldi F.A., Alford S.T., Chiappalone M., Fadiga L., Karniel A., Kositsky M., Maggiolini E., Panzeri S., Sanguineti V., Semprini M. and Vato A. (2010). New perspectives on the dialogue between brains and machines. Frontiers in Neuroscience 4(1), 44-52.

Chiappalone M., Vato A., Berdondini L., Koudelka-Hep M. and Martinoia S. (2007). Network dynamics and synchronous activity in cultured cortical neurons. International Journal of Neural Systems 17(2), 87-103.

Chiappalone M., Bove M., Vato A., Tedesco M. and Martinoia, S. (2006). Dissociated cortical networks show spontaneously correlated activity patterns during in vitro development. Brain Research 1093(1), 41-53.

Chiappalone M., Novellino A., Vajda I., Vato A., Martinoia S. and Van Pelt, J. (2005). Burst detection algorithms for the analysis of spatio-temporal patterns in cortical networks of neurons. Neurocomputing 65-66, 653-662.

Stillo G., Bonzano L., Chiappalone M., Vato A., Davide F.A. and Martinoia S., (2004). Burst on Hurst algorithm for detecting activity patterns in networks of cortical neurons. International Journal of Information Technology 1(4), 135-138.

Vato A., Bonzano L., Chiappalone M., Cicero S., Morabito F., Novellino A. and Stillo G. (2004). Spike manager: A new tool for spontaneous and evoked neuronal networks activity characterization. Neurocomputing 58-60, 1153-1161.

Novellino A., Chiappalone M., Vato A., Bove M., Tedesco M.B. and Martinoia, S. (2003). Behaviors from an electrically stimulated spinal cord neuronal network cultured on microelectrode arrays. Neurocomputing 52-54, 661-669.

Chiappalone M., Vato A., Tedesco M., Marcoli M., Davide F. and Martinoia S. (2003). Networks of neurons coupled to microelectrode arrays: A neuronal sensory system for pharmacological applications. Biosensors and Bioelectronics 18(5), 627-634.