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Fabio Boi

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Research Line

IIT@Harvard

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About

Received the B.D in computer engineering and a master in robotics engineering from the University of Genoa, Genoa, Italy, in 2010 and 2012, respectively.
Currently he joined the Robotics, Brain and Cognitive Science at the Italian Institute of Technology, Genoa, Italy, as a PhD student and he is involved in the brain–machine interfaces research and development.

Interests

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Projects

  1. Artificial perception via electrical stimulation: a two-choices paradigm is used to explore the electrical parameters of ICMS (i.e. perception threshold, frequency, duration) to increase the information quality that can be provided directly to the brain using this technique.
  2. WIRSTA portable, 16-channels, micro-controller based system for bi-directional interface with the central nervous system is presented in this work. The device, specifically designed to be used with freely behaving small laboratory animals, allows recording spontaneous and/or evoked neural activities and to store them in data files on a PC. It is also capable of delivering biphasic current stimuli with programmable duration, frequency and amplitude. The system was successfully tested through in vivo measurements on rats chronically implanted with microwire arrays. An intuitive graphical user interface was developed to facilitate the configuration of the whole system, providing the possibility to activate stimulation and monitor recordings in real time.
  3. Development of a bidirectional brain-machine communication devices: The ultimate goal of developing systems that permit a direct communication between the brain and the external world is to restore lost sensory or motor functions due to neurodegenerative diseases or after a stroke. Researchers involved in this challenging field are still facing so many theoretical and practical issues that makes these systems still not ready for a broader use among these kind of patients. The main goal of this project is to study and to develop a new family of bidirectional brain-machine communication devices by establishing motor and sensory artificial channels that permit the brain to exchange information with the external world in a bidirectional fashion by emulating the functional properties of the vertebrate spinal cord. To achieve this goal we need to set up new experimental framework that permit to decode the neural information collected from the brain and to interact with a dynamical artificial system in a closed loop real- time configuration. The sensory feedback will be explored by using patterns of intracortical microstimulation as an artificial sensory channel.

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