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Showing 1–21 of 21 results
Advanced filters: Author: Henry Markram 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

  • Nature Reviews Neuroscienceasks five prominent neuroscientists about the goals of several ambitious collaborative projects that have attracted large amounts of funding and media attention in the past year.

    • Eric R. Kandel
    • Henry Markram
    • Christof Koch
    Reviews
    Nature Reviews Neuroscience
    Volume: 14, P: 659-664

  • 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

  • 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

  • Markram describes the impressive aims of the Blue Brain Project, in which the enormous computing power of IBM's Blue Gene supercomputer is being harnessed to build biologically accurate models of the neocortical column and, ultimately, the whole brain.

    • Henry Markram
    Reviews
    Nature Reviews Neuroscience
    Volume: 7, P: 153-160

  • In this work, the authors present a method for numerically synthesizing long-range axonal morphologies of the mouse brain, by leveraging recent advances in unsupervised clustering techniques and clustering input axons by their projecting pattern.

    • Remy Petkantchin
    • Adrien Berchet
    • Lida Kanari
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-11

  • Debate continues over how best to classify cortical interneurons. Standardizing the nomenclature used to describe these cells might aid classification efforts. Here, a committee of interneuron researchers propose a standardized set of terms to describe the morphological, molecular and physiological features of an interneuron.

    • Giorgio A. Ascoli
    • Lidia Alonso-Nanclares
    • Rafael Yuste
    Reviews
    Nature Reviews Neuroscience
    Volume: 9, P: 557-568

  • The project for producing a genome-wide atlas of gene expression in the mouse brain shows how, with advancing technology, huge volumes of data can be collected and made accessible through the Internet.

    • Henry Markram
    News & Views
    Nature
    Volume: 445, P: 160-161

  • Ephaptic coupling is the feedback of extracellular fields onto the electrical potential across the neuronal membrane, independent of synapses. Here, the authors report that, under physiological conditions, endogenous brain activity can affect neural function through field effects.

    • Costas A Anastassiou
    • Rodrigo Perin
    • Christof Koch
    Research
    Nature Neuroscience
    Volume: 14, P: 217-223

  • The classification of cortical neurons, including interneurons, remains a thorny issue in neuroscience. This Analysis article presents and tests a possible taxonomical solution for classifying cortical GABAergic interneurons based on a web-based interactive system that allows experts to classify neurons with pre-determined morphological criteria.

    • Javier DeFelipe
    • Pedro L. López-Cruz
    • Giorgio A. Ascoli
    Research
    Nature Reviews Neuroscience
    Volume: 14, P: 202-216