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Showing 1–5 of 5 results
Advanced filters: Author: Maxim Bazhenov Clear advanced filters

  • Neural mechanisms underlying thalamic contributions to evoked potentials by brain stimulation, which has been widely used for therapeutic interventions, are not fully understood. In this translational study the authors show that the thalamus plays a critical role in shaping its neural responses across species and across stimulation modalities.

    • Simone Russo
    • Leslie D. Claar
    • Irene Rembado
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-19

  • Artificial neural networks are known to perform well on recently learned tasks, at the same time forgetting previously learned ones. The authors propose an unsupervised sleep replay algorithm to recover old tasks synaptic connectivity that may have been damaged after new task training.

    • Timothy Tadros
    • Giri P. Krishnan
    • Maxim Bazhenov
    ResearchOpen Access
    Nature Communications
    Volume: 13, P: 1-12

  • It is an outstanding challenge to develop intelligent machines that can learn continually from interactions with their environment, throughout their lifetime. Kudithipudi et al. review neuronal and non-neuronal processes in organisms that address this challenge and discuss pathways to developing biologically inspired approaches for lifelong learning machines.

    • Dhireesha Kudithipudi
    • Mario Aguilar-Simon
    • Hava Siegelmann
    Reviews
    Nature Machine Intelligence
    Volume: 4, P: 196-210