Researchers create “neuromorphic chip” that is modeled after the brain

Re:Researchers create “neuromorphic chip” that is modeled af... by dkersten on Thursday November 30, 2017 @07:47AM (#15815298)

> It's also very commonly observed that, for instance, the intensity of a stimulus is encoded not in the amplitude of a particular neuron's response but rather in the frequency of a neuron's firing.

This was actually mentioned by Geoff Hinton in his deep learning coursera lectures and the reason why his RBM's were outputting binary signals rather than float values -- the timing was more important than the values. It made a lot of sense when he talked about it. I saw this back in 2012. I assumed this was commonly understood now, but I guess not?

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Re:Researchers create “neuromorphic chip” that is modeled af... by arca_vorago on Thursday November 30, 2017 @09:33AM (#15815933)

I've hypothesised the optimum way would be to use both binary and floats at the same time after a paper I read that basically said neuron pathways are both digital and analog. Something about the analog (float) being a weight pathway indicator or something. I wish I knew more about neuroscience.

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Re:Researchers create “neuromorphic chip” that is modeled af... by dkersten on Thursday November 30, 2017 @01:55PM (#15818423)

hmm interesting. I wonder where I could find out more.

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