The memristor—the functional equivalent of a synapse—could revolutionize circuit design
spectrum.ieee.org
spectrum.ieee.org
But beyond the comment that “molecular-scale electronics” would be interesting and that we should try to have something useful in about 10 years, I was given carte blanche to pursue any topic we wanted. We decided to take on Moore’s Law.
There aren't many places today where that kind of research is going on. Maybe successes like this will remind some of those in a position to make a difference what kind of commitment is required to discover truly revolutionary ideas.
"[Chua] proved that memristor behavior could not be duplicated by any circuit built using only the other three elements, which is why the memristor is truly fundamental."
Later in the article:
"Emulating the behavior of a single memristor, Chua showed, requires a circuit with at least 15 transistors and other passive elements."
Reconciliation?
I think when they say "fundamental elements" they mean the fundamental passive elements of analog circuit theory (mentioned above), as opposed to active elements like op-amps or transistors.
"For nearly 150 years, the known fundamental passive circuit elements were limited to the capacitor (discovered in 1745), the resistor (1827), and the inductor (1831)... He proved that memristor behavior could not be duplicated by any circuit built using only the other three elements, which is why the memristor is truly fundamental. "
It's like saying: since we understand gravity now, designing spaceships with warp drive is just round the corner.
The memristor has some functional properties in common with some synapses.
Neither synapses nor memristors have been fully characterized (though probably the memristor is better understood at this point).
The function of synapses in memory formation and information processing is poorly understood, but maybe having a nanoscale electronics component (memristor) that has some synapse-like attributes will increase the size of simulations to the degree that they will make interesting, testable predictions about how neural circuits work.