Search Results - "Einevoll, Gaute T."
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Investigating large-scale brain dynamics using field potential recordings: analysis and interpretation
Published in Nature neuroscience (01-07-2018)“…New technologies to record electrical activity from the brain on a massive scale offer tremendous opportunities for discovery. Electrical measurements of…”
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Decorrelation of neural-network activity by inhibitory feedback
Published in PLoS computational biology (01-08-2012)“…Correlations in spike-train ensembles can seriously impair the encoding of information by their spatio-temporal structure. An inevitable source of correlation…”
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3
Modeling the Spatial Reach of the LFP
Published in Neuron (Cambridge, Mass.) (08-12-2011)“…The local field potential (LFP) reflects activity of many neurons in the vicinity of the recording electrode and is therefore useful for studying local network…”
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Computing the Local Field Potential (LFP) from Integrate-and-Fire Network Models
Published in PLoS computational biology (01-12-2015)“…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…”
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Uncertainpy: A Python Toolbox for Uncertainty Quantification and Sensitivity Analysis in Computational Neuroscience
Published in Frontiers in neuroinformatics (14-08-2018)“…Computational models in neuroscience typically contain many parameters that are poorly constrained by experimental data. Uncertainty quantification and…”
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Baseline oxygen consumption decreases with cortical depth
Published in PLoS biology (27-10-2022)“…The cerebral cortex is organized in cortical layers that differ in their cellular density, composition, and wiring. Cortical laminar architecture is also…”
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Brain Modeling ToolKit: An open source software suite for multiscale modeling of brain circuits
Published in PLoS computational biology (30-11-2020)“…Experimental studies in neuroscience are producing data at a rapidly increasing rate, providing exciting opportunities and formidable challenges to existing…”
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Brain signal predictions from multi-scale networks using a linearized framework
Published in PLoS computational biology (12-08-2022)“…Simulations of neural activity at different levels of detail are ubiquitous in modern neurosciences, aiding the interpretation of experimental data and…”
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Biophysically detailed forward modeling of the neural origin of EEG and MEG signals
Published in NeuroImage (Orlando, Fla.) (15-01-2021)“…•Current dipoles are computed from biophysically detailed simulated neuron and network activity.•Extracted current dipoles allow for accurate computation of…”
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Multimodal Modeling of Neural Network Activity: Computing LFP, ECoG, EEG, and MEG Signals With LFPy 2.0
Published in Frontiers in neuroinformatics (18-12-2018)“…Recordings of extracellular electrical, and later also magnetic, brain signals have been the dominant technique for measuring brain activity for decades. The…”
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Amplitude Variability and Extracellular Low-Pass Filtering of Neuronal Spikes
Published in Biophysical journal (01-02-2008)“…The influence of neural morphology and passive electrical parameters on the width and amplitude of extracellular spikes is investigated by combined analytical…”
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Multitask learning of a biophysically-detailed neuron model
Published in PLoS computational biology (31-07-2024)“…The human brain operates at multiple levels, from molecules to circuits, and understanding these complex processes requires integrated research efforts…”
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An electrodiffusive, ion conserving Pinsky-Rinzel model with homeostatic mechanisms
Published in PLoS computational biology (29-04-2020)“…In most neuronal models, ion concentrations are assumed to be constant, and effects of concentration variations on ionic reversal potentials, or of ionic…”
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Computation of the electroencephalogram (EEG) from network models of point neurons
Published in PLoS computational biology (01-04-2021)“…The electroencephalogram (EEG) is a major tool for non-invasively studying brain function and dysfunction. Comparing experimentally recorded EEGs with neural…”
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An electrodiffusive neuron-extracellular-glia model for exploring the genesis of slow potentials in the brain
Published in PLoS computational biology (16-07-2021)“…Within the computational neuroscience community, there has been a focus on simulating the electrical activity of neurons, while other components of brain…”
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Frequency dependence of signal power and spatial reach of the local field potential
Published in PLoS computational biology (01-07-2013)“…Despite its century-old use, the interpretation of local field potentials (LFPs), the low-frequency part of electrical signals recorded in the brain, is still…”
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From grid cells to place cells: A mathematical model
Published in Hippocampus (01-01-2006)“…Anatomical connectivity and recent neurophysiological results imply that grid cells in the medial entorhinal cortex are the principal cortical inputs to place…”
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Cell type specificity of neurovascular coupling in cerebral cortex
Published in eLife (31-05-2016)“…Identification of the cellular players and molecular messengers that communicate neuronal activity to the vasculature driving cerebral hemodynamics is…”
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Intrinsic dendritic filtering gives low-pass power spectra of local field potentials
Published in Journal of computational neuroscience (01-12-2010)“…The local field potential (LFP) is among the most important experimental measures when probing neural population activity, but a proper understanding of the…”
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Metamodelling of a two-population spiking neural network
Published in PLoS computational biology (30-11-2023)“…In computational neuroscience, hypotheses are often formulated as bottom-up mechanistic models of the systems in question, consisting of differential equations…”
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