Estimation of neural network model parameters from local field potentials (LFPs)

PLoS Computational Biology
Jan-Eirik W SkaarGaute T Einevoll

Abstract

Most modeling in systems neuroscience has been descriptive where neural representations such as 'receptive fields', have been found by statistically correlating neural activity to sensory input. In the traditional physics approach to modelling, hypotheses are represented by mechanistic models based on the underlying building blocks of the system, and candidate models are validated by comparing with experiments. Until now validation of mechanistic cortical network models has been based on comparison with neuronal spikes, found from the high-frequency part of extracellular electrical potentials. In this computational study we investigated to what extent the low-frequency part of the signal, the local field potential (LFP), can be used to validate and infer properties of mechanistic cortical network models. In particular, we asked the question whether the LFP can be used to accurately estimate synaptic connection weights in the underlying network. We considered the thoroughly analysed Brunel network comprising an excitatory and an inhibitory population of recurrently connected integrate-and-fire (LIF) neurons. This model exhibits a high diversity of spiking network dynamics depending on the values of only three network parameters....Continue Reading

References

Oct 1, 1992·Journal of Neurophysiology·D A McCormick, J R Huguenard
Mar 1, 1995·Journal of Neurophysiology·M MiglioreD Johnston
May 16, 2000·Journal of Computational Neuroscience·N Brunel
Apr 29, 2004·Nature Neuroscience·György Buzsáki
Oct 22, 2004·Nature Reviews. Neuroscience·Amiram Grinvald, Rina Hildesheim
Nov 22, 2005·Nature Methods·Fritjof Helmchen, Winfried Denk
Jun 23, 2006·Nature Reviews. Neuroscience·Eve Marder, Jean-Marc Goaillard
Feb 3, 2007·Journal of Computational Neuroscience·Carl GoldChristof Koch
Nov 18, 2008·Biological cybernetics·Renaud JolivetArnd Roth
Feb 10, 2009·Frontiers in Neuroinformatics·Michael L HinesEilif Muller
Feb 18, 2009·Cerebral Cortex·Marcel StimbergKlaus Obermayer
Aug 8, 2009·PLoS Computational Biology·Eilen NordlieHans Ekkehard Plesser
Jan 30, 2010·Science·Alexander S EckerAndreas S Tolias
May 27, 2010·Journal of Computational Neuroscience·Henrik LindénGaute T Einevoll
Sep 13, 2011·Journal of Physiology, Paris·Alberto MazzoniStefano Panzeri
Oct 8, 2011·PLoS Computational Biology·Geir HalnesMichele Migliore
Dec 14, 2011·Neuron·Henrik LindénGaute T Einevoll
May 19, 2012·Nature Reviews. Neuroscience·György BuzsákiChristof Koch
Jul 23, 2013·PLoS Computational Biology·Szymon ŁęskiGaute T Einevoll
Oct 19, 2013·Nature Reviews. Neuroscience·Gaute T EinevollStefano Panzeri
Jan 30, 2014·Frontiers in Neuroinformatics·Henrik LindénGaute T Einevoll
Apr 14, 2015·Hippocampus·M SanjaySrinivasa B Krothapalli
Jun 18, 2015·PLoS Computational Biology·Christian PozzoriniWulfram Gerstner
Oct 10, 2015·Cell·Henry MarkramFelix Schürmann
Dec 15, 2015·PLoS Computational Biology·Alberto MazzoniGaute T Einevoll
Feb 3, 2016·Frontiers in Neuroinformatics·Helena T GłąbskaDaniel K Wójcik
May 27, 2016·The Journal of Neuroscience : the Official Journal of the Society for Neuroscience·Yasuhiro MochizukiShigeru Shinomoto
Nov 1, 2016·Cerebral Cortex·Espen HagenGaute T Einevoll
Jun 10, 2017·Neural Computation·Waseem Rawat, Zenghui Wang
Jun 8, 2018·The Journal of Neuroscience : the Official Journal of the Society for Neuroscience·Torbjørn V NessGaute T Einevoll
Aug 3, 2018·PloS One·Sergey L GratiyAnton Arkhipov
Nov 13, 2018·PLoS Computational Biology·Anton ArkhipovChristof Koch
Jan 9, 2019·Frontiers in Neuroinformatics·Espen HagenGaute T Einevoll
May 24, 2019·Neuron·Gaute T EinevollFelix Schürmann
Feb 6, 2020·Nature Methods·Pauli VirtanenUNKNOWN SciPy 1.0 Contributors

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Citations

Apr 3, 2021·PLoS Computational Biology·Pablo Martínez-CañadaStefano Panzeri

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Software Mentioned

Keras
LFPy
NEURON
NEST simulator
Python SciPy package
NEST
Stallo
hybridLFPy
Python
TensorFlow

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