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Showing 1–5 of 5 results
Advanced filters: Author: Eilif B. Muller Clear advanced filters

  • The study of learning algorithms in the neocortex requires comprehensive knowledge of synaptic plasticity between its diverse cell types, which is currently lacking. Chindemi et al. describe a modeling approach to fill these gaps in experimental literature, and predict the features of synaptic plasticity in vivo.

    • Giuseppe Chindemi
    • Marwan Abdellah
    • Eilif B. Muller
    ResearchOpen Access
    Nature Communications
    Volume: 13, P: 1-19

  • Whether cortical neurons can fire reliable spikes amid cellular noise and chaotic network dynamics remains debated. Here the authors simulate a detailed neocortical microcircuit model and show that noisy and chaotic cortical network dynamics are compatible with stimulus-evoked, millisecond spike-time reliability.

    • Max Nolte
    • Michael W. Reimann
    • Eilif B. Muller
    ResearchOpen Access
    Nature Communications
    Volume: 10, P: 1-15

  • A combination of large-scale connectomics with cellular and synapse data to generate a first draft statistical model of the neuron-to-neuron micro-connectome of a whole mouse neocortex. This micro-connectome recreates biological trends of targeting on the macro-, meso-, and micro-scale.

    • Michael W. Reimann
    • Michael Gevaert
    • Eilif Muller
    ResearchOpen Access
    Nature Communications
    Volume: 10, P: 1-16

  • Voltage-sensitive dye imaging (VSDI) is a powerful technique for measuring membrane potential dynamics of neurons but the effective resolution is limited. Here, the authors developed an in silico model of VSDI to probe activity in a biologically detailed reconstruction of rodent neocortical microcircuits.

    • Taylor H. Newton
    • Michael W. Reimann
    • Henry Markram
    ResearchOpen Access
    Nature Communications
    Volume: 12, P: 1-13

  • To unravel structural regularities in neocortical networks, Gal et al. analyzed a biologically constrained model of a neocortical microcircuit. Using extended graph theory, they found multiple cell-type-specific wiring features, including small-word and rich-club topologies that might contribute to the large repertoire of computations performed by the neocortex.

    • Eyal Gal
    • Michael London
    • Idan Segev
    Research
    Nature Neuroscience
    Volume: 20, P: 1004-1013