Efficient Prediction with Recurrent Circuits of Sigma-Pi Neurons
Summary
Efficient Prediction with Recurrent Circuits of Sigma-Pi Neurons. Distributed representation approach for reservoir computing that outperforms NG-RC. Uses Vector Symbolic Architectures and randomized polynomial kernels. Implemented as recurrent network of sigma-pi neurons.
Themes
Keywords
reservoir computing, sigma-pi neurons, hyperdimensional computing, vector symbolic architectures
Poster
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