Neural Computer Interaction

Research activities

The Neural Computer Interaction Laboratory aims to investigate the dynamics of the brain processes toward the development of adaptive neuromodualtion medical devices.

A major goal of the NCILab is to develop a theoretical framework to analyze and decode Electrocorticographic signals (ECoGs) recorded form human subjects in order to increase our knowledge about the dynamics of the brain processes toward clinical applications of such knowledge. We are also interested in developing new algorithms to increase the amount of information that a bidirectional brain-machine interfaces exchange with the brain by exploring how neural responses depend on ongoing spontaneous activity.



Analysis of ECoG grid recordings from human subject to understand dynamic communication across neural populations

  • Neural Computation Lab in IIT (S. Panzeri)
  • National Center for Adaptive Neurotechnologies at Wadsworth Center of Albany (G. Schalk)
  • Albany Medical Center (A. Ritaccio)

Bidirectional BMI

Development of bidirectional brain-machine interfaces to explore new decoding and encoding strategies to increase the amount of information exchanged between the brain and the external environment.

  • Neural Computation Lab in IIT (S. Panzeri)

Selected Publications


Alessandro Vato



Vito DeFeo



Principal investigator

Alessandro Vato

Alessandro Vato received the M.Eng. degree in electronics engineering and the Ph.D. degree in Bioengineering and Bioelectronics both from the University of Genova, Genova, Italy in 2000 and 2004, respectively. From 2005 to 2008 he has been a Postdoctoral Fellow at the Department of Physiology at the Northwestern University of Chicago, IL. In 2008 he joined the Brain Machine Interface Laboratory at the Fondazione Istituto Italiano di Tecnologia as researcher. His research interests include the development of brain-machine interfaces for neuroprosthetic applications, closed-loop systems, cortical neurophysiology and intracortical microstimulation as artificial sensory channel.