Efficient supervised learning in networks with binary synapses
Efficient supervised learning in networks with binary synapses
Recent experiments [1,2] have suggested single synapses could be similar to noisy binary switches.Binary synapses would have the advantage of robustness to noise and hence could preserve memory over longer time scales compared to analog systems.Learning in systems with discrete synapses is known to be a computationally hard problem.We developed …