Photonic spiking neural network toward a new neuromorphic computing

Researchers at NTT in collaboration with the group of The University of Tokyo developed a photonic artificial neuron that emulates spiking signals in biological neurons by using degenerate optical parametric oscillators (DOPOs). A.L. Hodgkin classified the spiking dynamics of neurons into two classes of spiking modes (Class-I and Class-II) on the basis of how spiking rates change as a function of external stimulus. This is called Hodgkin's classification. We demonstrated that both spiking modes can be created in the same setup and controlled arbitrarily by tuning the pump light that is injecting power to the system. The present neuron, called DOPO neuron, has high controllability of spiking modes, which will be advantageous for neuromorphic computation.

[kipropkigz]

do you please have a peer reviewed paper for this ? i am curious

[brian]

Ive heard of photon n neural networks. But I wasnt sure how they operated. The wave analysis is intriguing. The optical encoding looks so clean

[megatronDelaMusa]

kamasutra has evolved beautifully. A neuromorphic internet infrastructure would set the world ablaze. Our ability to build synthetic artificial synapses and dendritic branching would give a whole new meaning to the future. AGi has arrived on our blindside.

[jambalaya]

Fascinating. I'd love to read the paper.

[fpgamachine]

I work with CNN for artificial vision but did not understand anything in this video.

[brian]

You wouldn't have to pay me to work there