G
Gaute T. Einevoll
Researcher at Norwegian University of Life Sciences
Publications - 214
Citations - 8794
Gaute T. Einevoll is an academic researcher from Norwegian University of Life Sciences. The author has contributed to research in topics: Population & Local field potential. The author has an hindex of 43, co-authored 202 publications receiving 7214 citations. Previous affiliations of Gaute T. Einevoll include University of Oslo & Norwegian Institute of Technology.
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Journal ArticleDOI
Modelling and analysis of local field potentials for studying the function of cortical circuits
TL;DR: Careful mathematical modelling and analysis are needed to take full advantage of the opportunities that this signal offers in understanding signal processing in cortical circuits and, ultimately, the neural basis of perception and cognition.
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Modeling the spatial reach of the LFP.
Henrik Lindén,Henrik Lindén,Tom Tetzlaff,Tobias C. Potjans,Klas H. Pettersen,Sonja Grün,Sonja Grün,Markus Diesmann,Gaute T. Einevoll +8 more
TL;DR: The size of the generating region depends on the neuron morphology, the synapse distribution, and the correlation in synaptic activity, and is investigated by simulating the LFP from a large number of neurons around the electrode.
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From grid cells to place cells: a mathematical model.
TL;DR: A model in which place fields of hippocampal pyramidal cells are formed by linear summation of appropriately weighted inputs from entorhinal grid cells is proposed, which points to a number of possible constraints in the organization of functional connections between grid cells and place cells.
RAPID COMMUNICATION From Grid Cells to Place Cells: A Mathematical Model
TL;DR: In this article, the authors proposed a model in which place fields of hippocampal pyramidal cells are formed by linear summation of appropriately weighted inputs from entorhinal grid cells.
Journal ArticleDOI
Computing the Local Field Potential (LFP) from Integrate-and-Fire Network Models.
Alberto Mazzoni,Alberto Mazzoni,Henrik Lindén,Henrik Lindén,Hermann Cuntz,Hermann Cuntz,Hermann Cuntz,Anders Lansner,Stefano Panzeri,Gaute T. Einevoll,Gaute T. Einevoll +10 more
TL;DR: The results provide a simple formula for estimating the time course of the LFP from LIF network simulations in cases where a single pyramidal population dominates the L FP generation, and thereby facilitate quantitative comparison between computational models and experimental LFP recordings in vivo.