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Synchrony is stubborn in feedforward cortical networks

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Action potential propagation has been studied extensively in model networks. Now a new paper describes an innovative method of combining neuronal recordings with real-time neuronal modeling to create multi-layer feedforward networks. Neurons in deep layers tend to fire in synchrony, suggesting such networks may code sensory information by groups of neurons that fire together.

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Figure 1: Making a sparsely connected multi-layer feedforward network using a single cortical neuron and a computer.

Ivelisse Robles

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Authors and Affiliations

  1. the Department of Neurobiology and Center for Neural Computation, The Hebrew University, Jerusalem, 91904, Israel

    Idan Segev

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  1. Idan Segev
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Segev, I. Synchrony is stubborn in feedforward cortical networks. Nat Neurosci 6, 543–544 (2003). https://doi.org/10.1038/nn0603-543

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