Unsupervised learning in probabilistic neural networks with 1 multi - state metal - oxide memristive synapses
نویسندگان
چکیده
Electronics and Computer Science dept., University of Southampton, 5 Southampton, SO17 1BJ, United Kingdom 6 Dept. of Electrical and Electronic Engineering, Imperial College, London, SW7 7 2AZ, United Kingdom 8 Institute for Theoretical Computer Science, Graz University of Technology, Graz, 9 8010 Graz, Austria 10 Kirchhoff Institute for Physics, University of Heidelberg, Heidelberg, 69120 11 Heidelberg, Germany 12
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Unsupervised learning in probabilistic neural networks with multi-state metal-oxide memristive synapses
In an increasingly data-rich world the need for developing computing systems that cannot only process, but ideally also interpret big data is becoming continuously more pressing. Brain-inspired concepts have shown great promise towards addressing this need. Here we demonstrate unsupervised learning in a probabilistic neural network that utilizes metal-oxide memristive devices as multi-state syn...
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