RISE Research Radar

Computer Science Open House 2022-2025

2023

Efficient Prediction with Recurrent Circuits of Sigma-Pi Neurons

Denis Kleyko, Christopher Kymn, Bruno A. Olshausen

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

machine-learning

Keywords

reservoir computing, sigma-pi neurons, hyperdimensional computing, vector symbolic architectures

Poster

Efficient Prediction with Recurrent Circuits of Sigma-Pi Neurons poster

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