Data from: Computing the local field potential (LFP) from integrate-and-fire network models

Alberto Mazzoni, Henrik Anders Lindén, Hermann Cuntz, Anders Lansner, Stefano Panzeri, Gaute Tomas Einevoll & Henrik Lindén
Leaky integrate-and-fire (LIF) network models are commonly used to study how the spiking dynamics of neural networks changes with stimuli, tasks or dynamic network states. However, neurophysiological studies in vivo often rather measure the mass activity of neuronal microcircuits with the local field potential (LFP). Given that LFPs are generated by spatially separated currents across the neuronal membrane, they cannot be computed directly from quantities defined in models of point-like LIF neurons. Here, we explore...

Registration Year

  • 2015
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Resource Types

  • Dataset
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Affiliations

  • Ernst Strüngmann Institute for Neuroscience
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  • Sant'Anna School of Advanced Studies
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  • Royal Institute of Technology
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  • University of Copenhagen
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  • Italian Institute of Technology
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  • Norwegian University of Life Sciences
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  • Goethe University Frankfurt
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  • Frankfurt Institute for Advanced Studies
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