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Showing 1–8 of 8 results
Advanced filters: Author: Rivu Midya Clear advanced filters
  • The noisy dynamics of biological neurons is vital for cognition, but artificial neurons failed to replicate it. Here, the authors show that neurons built with diffusive memristors can emulate the balance of stochastic and deterministic activity in biological neurons, while surpassing them in computational efficiency.

    • Rivu Midya
    • Ambarish S. Pawar
    • Sergey E. Savel’ev
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-15
  • A seemingly disordered network of nanowires governed by thermodynamics is used as the physical ‘reservoir’ in a memristive implementation of reservoir computing to process spatiotemporal information.

    • Qiangfei Xia
    • J. Joshua Yang
    • Rivu Midya
    News & Views
    Nature Materials
    Volume: 21, P: 134-135
  • Chips with 256 × 256 memristor arrays that were monolithically integrated on complementary metal–oxide–semiconductor (CMOS) circuits in a commercial foundry achieved 2,048 conductance levels in individual memristors.

    • Mingyi Rao
    • Hao Tang
    • J. Joshua Yang
    Research
    Nature
    Volume: 615, P: 823-829
  • Though artificial sensory systems based on electronic devices have been realized, further transformation of data into spikes is required for neural network optimization. Here, based on NbOx Mott memristors, the authors report artificial spiking afferent nerves for accessing spiking systems and demonstrate spiking mechanoreceptor systems.

    • Xumeng Zhang
    • Ye Zhuo
    • J. Joshua Yang
    ResearchOpen Access
    Nature Communications
    Volume: 11, P: 1-9
  • Though memristors can potentially emulate neuron and synapse functionality, useful signal energy is lost to Joule heating. Here, the authors demonstrate neuro-transistors with a pseudo-memcapacitive gate that actively process signals via energy-efficient capacitively-coupled neural networks.

    • Zhongrui Wang
    • Mingyi Rao
    • J. Joshua Yang
    ResearchOpen Access
    Nature Communications
    Volume: 9, P: 1-10
  • Memristors can switch between high and low electrical-resistance states, but the switching behaviour can be unpredictable. Here, the authors harness this unpredictability to develop a memristor-based true random number generator that uses the stochastic delay time of threshold switching

    • Hao Jiang
    • Daniel Belkin
    • Qiangfei Xia
    ResearchOpen Access
    Nature Communications
    Volume: 8, P: 1-9