Gradient Descent for Spiking Neural Networks — mentioned by zerostar07

Wed, 30 May 2018 12:40:39 GMT

An AI "winter" is a long period in which [edit: funding is cut because...] researchers are in disbelief about having a path to real intelligence. I think that is not the case at this time, because we have (or approaching) adequate tools to rationally dismiss that disbelief. The current AI "spring" has brought back the belief that connectionism may by the ultimate tool to explain the human brain. I mean you can't deny that DL models of vision look eerily like the early stages in visual processing in the brain (which is a very large part of it). Even if DL researchers lose their path in search…

Paper and discussion history. A mention is not an endorsement.

Gradient Descent for Spiking Neural Networks — HN submission

Mon, 19 Jun 2017 06:50:21 GMT

Gradient Descent for Spiking Neural Networks

3 points; 0 discussion replies on HN. Paper and source history. A submission is not an endorsement.

Gradient Descent for Spiking Neural Networks · HackerPapers discussions

Gradient Descent for Spiking Neural Networks — mentioned by zerostar07

Gradient Descent for Spiking Neural Networks — HN submission