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• W2791262016 abstract "Abstract Recordings of extracellular electrical, and later also magnetic, brain signals have been the dominant technique for measuring brain activity for decades. The interpretation of such signals is however nontrivial, as the measured signals result from both local and distant neuronal activity. In volume-conductor theory the extracellular potentials can be calculated from a distance-weighted sum of contributions from transmembrane currents of neurons. Given the same transmembrane currents, the contributions to the magnetic field recorded both inside and outside the brain can also be computed. This allows for the development of computational tools implementing forward models grounded in the biophysics underlying electrical and magnetic measurement modalities. LFPy ( LFPy.readthedocs.io ) incorporated a well-established scheme for predicting extracellular potentials of individual neurons with arbitrary levels of biological detail. It relies on NEURON ( neuron.yale.edu ) to compute transmembrane currents of multicompartment neurons which is then used in combination with an electrostatic forward model. Its functionality is now extended to allow for modeling of networks of multicompartment neurons with concurrent calculations of extracellular potentials and current dipole moments. The current dipole moments are then, in combination with suitable volume-conductor head models, used to compute non-invasive measures of neuronal activity, like scalp potentials (electroencephalographic recordings; EEG) and magnetic fields outside the head (magnetoencephalographic recordings; MEG). One such built-in head model is the four-sphere head model incorporating the different electric conductivities of brain, cerebrospinal fluid, skull and scalp. We demonstrate the new functionality of the software by constructing a network of biophysically detailed multicompartment neuron models from the Neocortical Microcircuit Collaboration (NMC) Portal ( bbp.epfl.ch/nmc-portal ) with corresponding statistics of connections and synapses, and compute in vivo -like extracellular potentials (local field potentials, LFP; electrocorticographical signals, ECoG) and corresponding current dipole moments. From the current dipole moments we estimate corresponding EEG and MEG signals using the four-sphere head model. We also show strong scaling performance of LFPy with different numbers of message-passing interface (MPI) processes, and for different network sizes with different density of connections. The open-source software LFPy is equally suitable for execution on laptops and in parallel on high-performance computing (HPC) facilities and is publicly available on GitHub.com ." @default.
• W2791262016 created "2018-03-29" @default.
• W2791262016 creator A5009764977 @default.
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• W2791262016 date "2018-03-14" @default.
• W2791262016 modified "2023-10-15" @default.
• W2791262016 title "Multimodal modeling of neural network activity: computing LFP, ECoG, EEG and MEG signals with LFPy2.0" @default.
• W2791262016 cites W1165372094 @default.
• W2791262016 cites W1486735428 @default.
• W2791262016 cites W1759399345 @default.
• W2791262016 cites W1850752598 @default.
• W2791262016 cites W1921182138 @default.
• W2791262016 cites W1966401487 @default.
• W2791262016 cites W1969564013 @default.
• W2791262016 cites W1969801391 @default.
• W2791262016 cites W1970792572 @default.
• W2791262016 cites W1973275441 @default.
• W2791262016 cites W1974992743 @default.
• W2791262016 cites W1977591470 @default.
• W2791262016 cites W1979694263 @default.
• W2791262016 cites W1980076404 @default.
• W2791262016 cites W1983412828 @default.
• W2791262016 cites W2007495909 @default.
• W2791262016 cites W2009951703 @default.
• W2791262016 cites W2013186737 @default.
• W2791262016 cites W2015238087 @default.
• W2791262016 cites W2016844172 @default.
• W2791262016 cites W2019475363 @default.
• W2791262016 cites W2025603247 @default.
• W2791262016 cites W2029187874 @default.
• W2791262016 cites W2040553986 @default.
• W2791262016 cites W2046152692 @default.
• W2791262016 cites W2049268069 @default.
• W2791262016 cites W2049517674 @default.
• W2791262016 cites W2052515926 @default.
• W2791262016 cites W2055007340 @default.
• W2791262016 cites W2062619493 @default.
• W2791262016 cites W2066012295 @default.
• W2791262016 cites W2067702957 @default.
• W2791262016 cites W2070339144 @default.
• W2791262016 cites W2071633981 @default.
• W2791262016 cites W2084333685 @default.
• W2791262016 cites W2089209577 @default.
• W2791262016 cites W2093482175 @default.
• W2791262016 cites W2095590015 @default.
• W2791262016 cites W2100260601 @default.
• W2791262016 cites W2101295242 @default.
• W2791262016 cites W2104848772 @default.
• W2791262016 cites W2110007355 @default.
• W2791262016 cites W2115545080 @default.
• W2791262016 cites W2122227532 @default.
• W2791262016 cites W2126203685 @default.
• W2791262016 cites W2127070079 @default.
• W2791262016 cites W2127950479 @default.
• W2791262016 cites W2133001465 @default.
• W2791262016 cites W2138779215 @default.
• W2791262016 cites W2139114760 @default.
• W2791262016 cites W2142749172 @default.
• W2791262016 cites W2145871953 @default.
• W2791262016 cites W2147427684 @default.
• W2791262016 cites W2147607085 @default.
• W2791262016 cites W2149924097 @default.
• W2791262016 cites W2153113253 @default.
• W2791262016 cites W2168025484 @default.
• W2791262016 cites W2169619863 @default.
• W2791262016 cites W2200681203 @default.
• W2791262016 cites W2207714503 @default.
• W2791262016 cites W2235017215 @default.
• W2791262016 cites W2253134764 @default.
• W2791262016 cites W2394883599 @default.
• W2791262016 cites W2412787090 @default.
• W2791262016 cites W2478132315 @default.
• W2791262016 cites W2520514017 @default.
• W2791262016 cites W2535290152 @default.
• W2791262016 cites W2567330606 @default.
• W2791262016 cites W2573562826 @default.
• W2791262016 cites W2606898049 @default.
• W2791262016 cites W2608180451 @default.
• W2791262016 cites W2754215411 @default.
• W2791262016 cites W2765422541 @default.
• W2791262016 cites W2770939328 @default.
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• W2791262016 cites W3105901399 @default.
• W2791262016 cites W4214775604 @default.
• W2791262016 cites W4245654886 @default.
• W2791262016 cites W4250543537 @default.
• W2791262016 cites W819231701 @default.
• W2791262016 cites W87071252 @default.
• W2791262016 doi "https://doi.org/10.1101/281717" @default.
• W2791262016 hasPublicationYear "2018" @default.
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