This title appears in the Scientific Report :
2018
Please use the identifier:
http://hdl.handle.net/2128/19323 in citations.
Reconciliation of weak pairwise spike-train correlations and highly coherent local field potentials across space
Reconciliation of weak pairwise spike-train correlations and highly coherent local field potentials across space
Chronic and acute implants of multi-electrode arrays that cover severalsquare millimeters of neural tissue provide simultaneous access topopulation signals such as extracellular potentials and the spikingactivity of one hundred or more individual neurons. While the recordeddata may uncover principle...
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Personal Name(s): | Senk, Johanna (Corresponding author) |
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Hagen, Espen / van Albada, Sacha / Diesmann, Markus | |
Contributing Institute: |
Jara-Institut Brain structure-function relationships; INM-10 Computational and Systems Neuroscience; IAS-6 Computational and Systems Neuroscience; INM-6 |
Imprint: |
2018
|
Document Type: |
Preprint |
Research Program: |
Supercomputing and Modelling for the Human Brain Human Brain Project Specific Grant Agreement 1 The Human Brain Project Connectivity and Activity Theory, modelling and simulation |
Link: |
OpenAccess OpenAccess |
Publikationsportal JuSER |
Chronic and acute implants of multi-electrode arrays that cover severalsquare millimeters of neural tissue provide simultaneous access topopulation signals such as extracellular potentials and the spikingactivity of one hundred or more individual neurons. While the recordeddata may uncover principles of brain function, its interpretationcalls for multiscale computational models with corresponding spatialdimensions and signal predictions. Such models can then facilitatethe search of candidate mechanisms underlying experimentally observedspatiotemporal activity patterns in cortex. Multi-layer spiking neuronnetwork models of local cortical circuits covering about $1\,\mathrm{mm}^2$have been developed, integrating experimentally obtained neuron-typespecific connectivity data and reproducing features of observed in-vivospiking statistics. Using forward models, local field potentials (LFPs)can be computed from the simulated spiking activity. To account forthe spatial scale of common neural recordings, we here extend a localnetwork and LFP model to an area of $4\times4\,\mathrm{mm}^2$. Theupscaling preserves the densities of neurons and local synapses, andintroduces distance-dependent connection probabilities and conductiondelays. As detailed experimental data on distance-dependent connectivityis partially lacking, we address this uncertainty in model parametersby testing different parameter combinations within biologically plausiblebounds. Based on model predictions of spiking activity and LFPs,we find that the upscaling procedure preserves the overall spikingstatistics of the original model and reproduces asynchronous irregularspiking across populations and weak pairwise spike-train correlationsexperimentally observed in sensory cortex. In contrast with the weakspike-train correlations, the correlation of LFP signals is strongand distance-dependent, compatible with experimental observations.Enhanced spatial coherence in the low-gamma band around $50\,\mathrm{Hz}$may explain the recent experimental report of an apparent band-passfilter effect in the spatial reach of the LFP. |