Carlo Vittorio Cannistraci's AI research was inspired by his fascination with the brain's mechanisms, such as silent synapses and the sparsity and morphology of brain connectivity. This led him to conceive the idea of emulating these aspects of the brain to design efficient AI systems. His collaboration with other researchers at Tsinghua University allowed him to computationally replicate complex brain mechanisms, resulting in the development of a new neuromorphic computational architecture.
The "dendristor" mimics biological dendrites by using a computational model of multi-gate silicon nanowire transistors with ion-doped sol-gel films, which replicate the morphology and function of dendrites. It exhibits nonlinear dendritic integration and direction selectivity, processing spatiotemporal signals with branch-specific plasticity.
The dendristor exhibits unique properties such as nonlinear dendritic integration and direction selectivity. It mimics the computations performed by dendrites using multi-gate transistors coated with an ion-doped sol-gel film, allowing doped ions to move similarly to ions in neuronal dendrites and modulating the transistor's current to reflect changes in dendritic membrane potential6.