Plenary Talk :
"Spike based recognition : From biology to hardware”
The conventional view is that neurons transmit information by using arate-based code in which higher values are encoded by higher firing rates. But there is a very different way of looking at computation in which precise spike timing is critical. I will describe recent work that shows that Spike-Time Dependent Plasticity (STDP) could allow neurons to become selective to patterns of spikes that repeat. Even more interestingly, it looks as though this sort of mechanism could be implemented in memristor-based electronic circuits, opening the possibility of a new generation of bioinspired robotic systems.