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Data
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Emergence of spatiotemporal sequences in spiking neuronal networks (Spreizer et al 2019)
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Pipeline user 82
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"Spatio-temporal sequences of neuronal activity are observed in many brain regions in a
variety of tasks and are thought to form the basis of meaningful behavior. However, mechanisms
by which a neuronal network can generate spatio-temporal activity sequences have
remained obscure. Existing models are biologically untenable because they either require
manual embedding of a feedforward network within a random network or supervised learning
to train the connectivity of a network to generate sequences. Here, we propose a biologically
plausible, generative rule to create spatio-temporal activity sequences in a network of
spiking neurons with distance-dependent connectivity. We show that the emergence of spatio-
temporal activity sequences requires: (1) individual neurons preferentially project a small
fraction of their axons in a specific direction, and (2) the preferential projection direction of
neighboring neurons is similar. Thus, an anisotropic but correlated connectivity of neuron
groups suffices to generate spatio-temporal activity sequences in an otherwise random neuronal
network model."
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Abstract integrate-and-fire leaky neuron Show
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Spreizer S, Aertsen A, Kumar A (2019) Show
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tom.morse@yale.edu
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Spatial connectivity
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Spreizer, Sebastian
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https://journals.plos.org/ploscompbiol/article%3Fid%3D10.1371/journal.pcbi.1007432
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