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Showing 1–11 of 11 results
Advanced filters: Author: Bruno Olshausen Clear advanced filters
  • The adjustable resistive state of memristors makes it possible to implement sparse coding algorithms naturally and efficiently.

    • Bruno A. Olshausen
    • Christopher J. Rozell
    News & Views
    Nature Nanotechnology
    Volume: 12, P: 722-723
  • The inference procedure for analysing a visual scene presents a computational challenge. Renner, Supic and colleagues develop a neural network model, the hierarchical resonator, to determine the generative factors of variation of objects in simple scenes. The resonator was implemented on neuromorphic hardware, using a spike-timing code for complex numbers.

    • Alpha Renner
    • Lazar Supic
    • E. Paxon Frady
    Research
    Nature Machine Intelligence
    Volume: 6, P: 641-652
  • A mathematical method has been developed that distinguishes between the paintings of Pieter Bruegel the Elder and those of his imitators. But can the approach be used to spot imitations of works by any artist?

    • Bruno A. Olshausen
    • Michael R. DeWeese
    News & Views
    Nature
    Volume: 463, P: 1027-1028
  • Reservoir computing designs recurrent networks that simultaneously buffer inputs and form nonlinear features. Here, authors propose a configurable scheme with better scaling where memory buffer and nonlinear features are in separate circuits. It can be efficiently implemented in neuromorphic hardware.

    • Denis Kleyko
    • Christopher J. Kymn
    • E. Paxon Frady
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-15
  • Combinatorial optimization problems can be solved on parallel hardware called Ising machines. Most studies have focused on the use of second-order Ising machines. Compared to second-order Ising machines, the authors show that higher-order Ising machines realized with coupled-oscillator networks can be more resource-efficient and provide superior solutions for constraint satisfaction problems.

    • Connor Bybee
    • Denis Kleyko
    • Friedrich T. Sommer
    ResearchOpen Access
    Nature Communications
    Volume: 14, P: 1-10
  • Auditory filters must trade off frequency tuning against temporal precision. The compromise achieved by the mammalian cochlea seems well matched to the sounds of the natural environment.

    • Bruno A. Olshausen
    • Kevin N. O'Connor
    News & Views
    Nature Neuroscience
    Volume: 5, P: 292-294
  • One of the ambitions of computational neuroscience is that we will continue to make improvements in the field of artificial intelligence that will be informed by advances in our understanding of how the brains of various species evolved to process information. To that end, here the authors propose an expanded version of the Turing test that involves embodied sensorimotor interactions with the world as a new framework for accelerating progress in artificial intelligence.

    • Anthony Zador
    • Sean Escola
    • Doris Tsao
    ReviewsOpen Access
    Nature Communications
    Volume: 14, P: 1-7