Journal Article

FZJ-2024-05647

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Reconciliation of weak pairwise spike-train correlations and highly coherent local field potentials across space

Senk, J. (Corresponding author)FZJ* ; Hagen, E.Extern* ; van Albada, S.FZJ* ; Diesmann, M.FZJ*

2024
Oxford Univ. Press Oxford

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Please use a persistent id in citations: doi:10.1093/cercor/bhae405  doi:10.34734/FZJ-2024-05647

Abstract: Multi-electrode arrays covering several square millimeters of neural tissue provide simultaneous access to population signals such as extracellular potentials and spiking activity of one hundred or more individual neurons. The interpretation of the recorded data calls for multiscale computational models with corresponding spatial dimensions and signal predictions. Multi-layer spiking neuron network models of local cortical circuits covering about 1 mm² have been developed, integrating experimentally obtained neuron-type-specific connectivity data and reproducing features of observed in-vivo spiking statistics. Local field potentials can be computed from the simulated spiking activity. We here extend a local network and local field potential model to an area of 4x4 mm²⁠, preserving the neuron density and introducing distance-dependent connection probabilities and conduction delays. We find that the upscaling procedure preserves the overall spiking statistics of the original model and reproduces asynchronous irregular spiking across populations and weak pairwise spike–train correlations in agreement with experimental recordings from sensory cortex. Also compatible with experimental observations, the correlation of local field potential signals is strong and decays over a distance of several hundred micrometers. Enhanced spatial coherence in the low-gamma band around 50 Hz may explain the recent report of an apparent band-pass filter effect in the spatial reach of the local field potential.

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Contributing Institute(s):

1. Computational and Systems Neuroscience (IAS-6)
2. Jara-Institut Brain structure-function relationships (INM-10)

Research Program(s):

1. 5231 - Neuroscientific Foundations (POF4-523) (POF4-523)
2. 5235 - Digitization of Neuroscience and User-Community Building (POF4-523) (POF4-523)
3. HBP SGA1 - Human Brain Project Specific Grant Agreement 1 (720270) (720270)
4. SMHB - Supercomputing and Modelling for the Human Brain (HGF-SMHB-2013-2017) (HGF-SMHB-2013-2017)
5. JL SMHB - Joint Lab Supercomputing and Modeling for the Human Brain (JL SMHB-2021-2027) (JL SMHB-2021-2027)
6. HBP SGA2 - Human Brain Project Specific Grant Agreement 2 (785907) (785907)
7. HBP SGA3 - Human Brain Project Specific Grant Agreement 3 (945539) (945539)
8. EBRAINS 2.0 - EBRAINS 2.0: A Research Infrastructure to Advance Neuroscience and Brain Health (101147319) (101147319)
9. Brain-Scale Simulations (jinb33_20121101) (jinb33_20121101)
10. Brain-Scale Simulations (jinb33_20220812) (jinb33_20220812)
11. DFG project G:(GEPRIS)491111487 - Open-Access-Publikationskosten / 2022 - 2024 / Forschungszentrum Jülich (OAPKFZJ) (491111487) (491111487)

Appears in the scientific report 2024

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Database coverage:
; ; ; BIOSIS Previews ; Biological Abstracts ; Clarivate Analytics Master Journal List ; Current Contents - Life Sciences ; Essential Science Indicators ; IF < 5 ; JCR ; Nationallizenz ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection

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