Research Interests

An innovative contribution of my work is the creation of a new class of bioelectronic devices based on neuromorphic computing, able to work with the same time constant as their biological counterpart and, thus, allow real-time interaction. My scientific goals are: 1. understand neural principles that can improve neural interface by building them into a neuroinspired hardware; 2. understand how to encode information into spikes; 3. generate a pattern of activation to elicit efficient and natural neurostimulation to elicit sensation. My technological goals include: 1. designing front-end for reading physiological data and converting it into spikes to process into the neuromorphic chip; 2. implement closed-loop pathways on neuromorphic hardware. This approach allows for building more intuitive human-machine interfaces.