High-dimensional computing with sparse vectors

  title={High-dimensional computing with sparse vectors},
  author={Mika Laiho and Jussi H. Poikonen and Pentti Kanerva and Eero Lehtonen},
  journal={2015 IEEE Biomedical Circuits and Systems Conference (BioCAS)},
Computing with high-dimensional vectors in a manner that resembles computing with numbers is based on Plate's Holographic Reduced Representation (HRR) and is used to model human cognition. Here we examine its hardware realization under constraints suggested by the properties of the brain's circuits. The sparseness of neural firing suggests that the vectors should be sparse. We show that the HRR operations of addition, multiplication, and permutation can be realized with sparse vectors, making… CONTINUE READING
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