| Year |
Citation |
Score |
| 2023 |
Ye Z, Shelton AM, Shaker JR, Boussard J, Colonell J, Manavi S, Chen S, Windolf C, Hurwitz C, Namima T, Pedraja F, Weiss S, Raducanu B, Ness TV, Einevoll GT, et al. Ultra-high density electrodes improve detection, yield, and cell type specificity of brain recordings. Biorxiv : the Preprint Server For Biology. PMID 37662298 DOI: 10.1101/2023.08.23.554527 |
0.304 |
|
| 2023 |
Rimehaug AE, Stasik AJ, Hagen E, Billeh YN, Siegle JH, Dai K, Olsen SR, Koch C, Einevoll GT, Arkhipov A. Uncovering circuit mechanisms of current sinks and sources with biophysical simulations of primary visual cortex. Elife. 12. PMID 37486105 DOI: 10.7554/eLife.87169 |
0.319 |
|
| 2022 |
Hagen E, Magnusson SH, Ness TV, Halnes G, Babu PN, Linssen C, Morrison A, Einevoll GT. Brain signal predictions from multi-scale networks using a linearized framework. Plos Computational Biology. 18: e1010353. PMID 35960767 DOI: 10.1371/journal.pcbi.1010353 |
0.401 |
|
| 2022 |
Ness TV, Halnes G, Næss S, Pettersen KH, Einevoll GT. Computing Extracellular Electric Potentials from Neuronal Simulations. Advances in Experimental Medicine and Biology. 1359: 179-199. PMID 35471540 DOI: 10.1007/978-3-030-89439-9_8 |
0.348 |
|
| 2021 |
Sætra MJ, Einevoll GT, Halnes G. An electrodiffusive neuron-extracellular-glia model for exploring the genesis of slow potentials in the brain. Plos Computational Biology. 17: e1008143. PMID 34270543 DOI: 10.1371/journal.pcbi.1008143 |
0.373 |
|
| 2021 |
Martínez-Cañada P, Ness TV, Einevoll GT, Fellin T, Panzeri S. Computation of the electroencephalogram (EEG) from network models of point neurons. Plos Computational Biology. 17: e1008893. PMID 33798190 DOI: 10.1371/journal.pcbi.1008893 |
0.365 |
|
| 2020 |
Næss S, Halnes G, Hagen E, Hagler DJ, Dale AM, Einevoll GT, Ness TV. Biophysically detailed forward modeling of the neural origin of EEG and MEG signals. Neuroimage. 117467. PMID 33075556 DOI: 10.1016/j.neuroimage.2020.117467 |
0.325 |
|
| 2020 |
Buccino AP, Einevoll GT. MEArec: A Fast and Customizable Testbench Simulator for Ground-truth Extracellular Spiking Activity. Neuroinformatics. PMID 32648042 DOI: 10.1007/s12021-020-09467-7 |
0.321 |
|
| 2020 |
Skaar JW, Stasik AJ, Hagen E, Ness TV, Einevoll GT. Estimation of neural network model parameters from local field potentials (LFPs). Plos Computational Biology. 16: e1007725. PMID 32155141 DOI: 10.1371/Journal.Pcbi.1007725 |
0.437 |
|
| 2019 |
Mäki-Marttunen T, Devor A, Phillips WA, Dale AM, Andreassen OA, Einevoll GT. Computational Modeling of Genetic Contributions to Excitability and Neural Coding in Layer V Pyramidal Cells: Applications to Schizophrenia Pathology. Frontiers in Computational Neuroscience. 13: 66. PMID 31616272 DOI: 10.3389/Fncom.2019.00066 |
0.356 |
|
| 2018 |
Hagen E, Næss S, Ness TV, Einevoll GT. Multimodal Modeling of Neural Network Activity: Computing LFP, ECoG, EEG, and MEG Signals With LFPy 2.0. Frontiers in Neuroinformatics. 12: 92. PMID 30618697 DOI: 10.3389/fninf.2018.00092 |
0.411 |
|
| 2018 |
Buccino AP, Hagen E, Einevoll GT, Hafliger PD, Cauwenbergh G. Independent Component Analysis for Fully Automated Multi-Electrode Array Spike Sorting. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2018: 2627-2630. PMID 30440947 DOI: 10.1109/EMBC.2018.8512788 |
0.322 |
|
| 2018 |
Buccino AP, Ness TV, Einevoll GT, Cauwenberghs G, Hafliger PD. A Deep Learning Approach for the Classification of Neuronal Cell Types. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2018: 999-1002. PMID 30440559 DOI: 10.1109/EMBC.2018.8512498 |
0.344 |
|
| 2018 |
Solbrå A, Bergersen AW, van den Brink J, Malthe-Sørenssen A, Einevoll GT, Halnes G. A Kirchhoff-Nernst-Planck framework for modeling large scale extracellular electrodiffusion surrounding morphologically detailed neurons. Plos Computational Biology. 14: e1006510. PMID 30286073 DOI: 10.1371/Journal.Pcbi.1006510 |
0.348 |
|
| 2018 |
Tennøe S, Halnes G, Einevoll GT. Uncertainpy: A Python Toolbox for Uncertainty Quantification and Sensitivity Analysis in Computational Neuroscience. Frontiers in Neuroinformatics. 12: 49. PMID 30154710 DOI: 10.3389/Fninf.2018.00049 |
0.332 |
|
| 2018 |
Heiberg T, Kriener B, Tetzlaff T, Einevoll GT, Plesser HE. Firing-rate models for neurons with a broad repertoire of spiking behaviors. Journal of Computational Neuroscience. PMID 30146661 DOI: 10.1007/S10827-018-0693-9 |
0.418 |
|
| 2018 |
Pesaran B, Vinck M, Einevoll GT, Sirota A, Fries P, Siegel M, Truccolo W, Schroeder CE, Srinivasan R. Investigating large-scale brain dynamics using field potential recordings: analysis and interpretation. Nature Neuroscience. PMID 29942039 DOI: 10.1038/S41593-018-0171-8 |
0.302 |
|
| 2018 |
Ness TV, Remme MWH, Einevoll GT. h-type membrane current shapes the local field potential (LFP) from populations of pyramidal neurons. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. PMID 29875266 DOI: 10.1523/JNEUROSCI.3278-17.2018 |
0.377 |
|
| 2018 |
Buccino AP, Kordovan M, Bækø Ness TV, Merkt B, Häfliger PD, Fyhn M, Cauwenberghs G, Rotter S, Einevoll GT. Combining biophysical modeling and deep learning for multi-electrode array neuron localization and classification. Journal of Neurophysiology. PMID 29847231 DOI: 10.1152/Jn.00210.2018 |
0.358 |
|
| 2018 |
Denker M, Einevoll G, Franke F, Grün S, Hagen E, Kerr J, Nawrot M, Ness T, Ritz R, Smith L, Wachtler T, Wojcik D. 1st INCF Workshop on Validation of Analysis Methods F1000research. 7. DOI: 10.7490/F1000Research.1115887.1 |
0.563 |
|
| 2017 |
Næss S, Chintaluri C, Ness TV, Dale AM, Einevoll GT, Wójcik DK. Corrected Four-Sphere Head Model for EEG Signals. Frontiers in Human Neuroscience. 11: 490. PMID 29093671 DOI: 10.3389/Fnhum.2017.00490 |
0.655 |
|
| 2017 |
Buccino AP, Ness TV, Einevoll GT, Cauwenberghs G, Hafliger PD. Localizing neuronal somata from Multi-Electrode Array in-vivo recordings using deep learning. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2017: 974-977. PMID 29060036 DOI: 10.1109/EMBC.2017.8036988 |
0.335 |
|
| 2017 |
Mäki-Marttunen T, Halnes G, Devor A, Metzner C, Dale AM, Andreassen OA, Einevoll GT. A stepwise neuron model fitting procedure designed for recordings with high spatial resolution: Application to layer 5 pyramidal cells. Journal of Neuroscience Methods. PMID 28993204 DOI: 10.1016/J.Jneumeth.2017.10.007 |
0.435 |
|
| 2017 |
Tveito A, Jæger KH, Lines GT, Paszkowski Ł, Sundnes J, Edwards AG, Māki-Marttunen T, Halnes G, Einevoll GT. An Evaluation of the Accuracy of Classical Models for Computing the Membrane Potential and Extracellular Potential for Neurons. Frontiers in Computational Neuroscience. 11: 27. PMID 28484385 DOI: 10.3389/Fncom.2017.00027 |
0.32 |
|
| 2017 |
Devor A, Andreassen OA, Wang Y, Mäki-Marttunen T, Smeland OB, Fan CC, Schork AJ, Holland D, Thompson WK, Witoelar A, Chen CH, Desikan RS, McEvoy LK, Djurovic S, Greengard P, ... ... Einevoll GT, et al. Genetic evidence for role of integration of fast and slow neurotransmission in schizophrenia. Molecular Psychiatry. PMID 28348379 DOI: 10.1038/Mp.2017.33 |
0.331 |
|
| 2017 |
Halnes G, Mäki-Marttunen T, Pettersen KH, Andreassen OA, Einevoll GT. Ion diffusion may introduce spurious current sources in Current-Source Density (CSD) analysis. Journal of Neurophysiology. jn.00976.2016. PMID 28298307 DOI: 10.1152/Jn.00976.2016 |
0.323 |
|
| 2016 |
Halnes G, Mäki-Marttunen T, Keller D, Pettersen KH, Andreassen OA, Einevoll GT. Effect of Ionic Diffusion on Extracellular Potentials in Neural Tissue. Plos Computational Biology. 12: e1005193. PMID 27820827 DOI: 10.1371/Journal.Pcbi.1005193 |
0.401 |
|
| 2016 |
Hagen E, Dahmen D, Stavrinou ML, Lindén H, Tetzlaff T, van Albada SJ, Grün S, Diesmann M, Einevoll GT. Hybrid Scheme for Modeling Local Field Potentials from Point-Neuron Networks. Cerebral Cortex (New York, N.Y. : 1991). PMID 27797828 DOI: 10.1093/Cercor/Bhw237 |
0.36 |
|
| 2016 |
Sharpee TO, Destexhe A, Kawato M, Sekulić V, Skinner FK, Wójcik DK, Chintaluri C, Cserpán D, Somogyvári Z, Kim JK, Kilpatrick ZP, Bennett MR, Josić K, Elices I, Arroyo D, ... ... Einevoll GT, et al. 25th Annual Computational Neuroscience Meeting: CNS-2016 Bmc Neuroscience. 17: 54. PMID 27534393 DOI: 10.1186/S12868-016-0283-6 |
0.536 |
|
| 2016 |
Ness TV, Remme MW, Einevoll GT. Active subthreshold dendritic conductances shape the local field potential. The Journal of Physiology. PMID 27079755 DOI: 10.1113/JP272022 |
0.382 |
|
| 2016 |
Głąbska HT, Norheim E, Devor A, Dale AM, Einevoll GT, Wójcik DK. Generalized Laminar Population Analysis (gLPA) for Interpretation of Multielectrode Data from Cortex. Frontiers in Neuroinformatics. 10: 1. PMID 26834620 DOI: 10.3389/Fninf.2016.00001 |
0.635 |
|
| 2015 |
Mazzoni A, Lindén H, Cuntz H, Lansner A, Panzeri S, Einevoll GT. Computing the Local Field Potential (LFP) from Integrate-and-Fire Network Models. Plos Computational Biology. 11: e1004584. PMID 26657024 DOI: 10.1371/Journal.Pcbi.1004584 |
0.372 |
|
| 2015 |
Ness TV, Chintaluri C, Potworowski J, ??ski S, G??bska H, Wójcik DK, Einevoll GT. Modelling and Analysis of Electrical Potentials Recorded in Microelectrode Arrays (MEAs). Neuroinformatics. PMID 25822810 DOI: 10.1007/S12021-015-9265-6 |
0.673 |
|
| 2013 |
Kriener B, Helias M, Rotter S, Diesmann M, Einevoll GT. How pattern formation in ring networks of excitatory and inhibitory spiking neurons depends on the input current regime. Frontiers in Computational Neuroscience. 7: 187. PMID 24501591 DOI: 10.1186/1471-2202-14-S1-P123 |
0.335 |
|
| 2013 |
Lindén H, Hagen E, Lęski S, Norheim ES, Pettersen KH, Einevoll GT. LFPy: a tool for biophysical simulation of extracellular potentials generated by detailed model neurons. Frontiers in Neuroinformatics. 7: 41. PMID 24474916 DOI: 10.3389/fninf.2013.00041 |
0.702 |
|
| 2013 |
Einevoll GT, Kayser C, Logothetis NK, Panzeri S. Modelling and analysis of local field potentials for studying the function of cortical circuits. Nature Reviews. Neuroscience. 14: 770-85. PMID 24135696 DOI: 10.1038/nrn3599 |
0.312 |
|
| 2013 |
Łęski S, Lindén H, Tetzlaff T, Pettersen KH, Einevoll GT. Frequency dependence of signal power and spatial reach of the local field potential. Plos Computational Biology. 9: e1003137. PMID 23874180 DOI: 10.1371/journal.pcbi.1003137 |
0.684 |
|
| 2013 |
Heiberg T, Kriener B, Tetzlaff T, Casti A, Einevoll GT, Plesser HE. Firing-rate models capture essential response dynamics of LGN relay cells. Journal of Computational Neuroscience. 35: 359-75. PMID 23783890 DOI: 10.1007/S10827-013-0456-6 |
0.301 |
|
| 2013 |
Gratiy SL, Pettersen KH, Einevoll GT, Dale AM. Pitfalls in the interpretation of multielectrode data: on the infeasibility of the neuronal current-source monopoles. Journal of Neurophysiology. 109: 1681-2. PMID 23503556 DOI: 10.1152/jn.01047.2012 |
0.311 |
|
| 2013 |
Chintaluri HC, Głąbska H, Ness TB, Einevoll GT, Wójcik DK. Realistic simulations of local field potentials in a slice Bmc Neuroscience. 14. DOI: 10.1186/1471-2202-14-S1-P417 |
0.665 |
|
| 2013 |
Kriener B, Enger H, Tetzlaff T, Plesser HE, Gewaltig M, Einevoll GT. Dynamics and lifetime of persistent activity states in random networks of spiking neurons with strong synapses Bmc Neuroscience. 14. DOI: 10.1186/1471-2202-14-S1-P121 |
0.307 |
|
| 2013 |
Ness TB, Hagen E, Negwer M, Bakker R, Schubert D, Einevoll GT. Modeling Extracellular Potentials in Microelectrode Array Recordings Bmc Neuroscience. 14: 120. DOI: 10.1186/1471-2202-14-S1-P120 |
0.401 |
|
| 2013 |
Hagen E, Stavrinou ML, Linden H, Tetzlaff T, van Albada S, Dahmen D, Diesmann M, Gruen S, Einevoll GT. Hybrid scheme for modeling LFPs from spiking cortical network models Bmc Neuroscience. 14. DOI: 10.1186/1471-2202-14-S1-P119 |
0.411 |
|
| 2012 |
Einevoll GT, Franke F, Hagen E, Pouzat C, Harris KD. Towards reliable spike-train recordings from thousands of neurons with multielectrodes. Current Opinion in Neurobiology. 22: 11-7. PMID 22023727 DOI: 10.1016/j.conb.2011.10.001 |
0.325 |
|
| 2012 |
Gratiy SL, Devor A, Einevoll GT, Dale AM. Estimation of Population-Specific Synaptic Currents from Laminar Multielectrode Local Field Potential Recordings Biophysical Journal. 102: 546a. DOI: 10.1016/J.Bpj.2011.11.2979 |
0.321 |
|
| 2011 |
Gratiy SL, Devor A, Einevoll GT, Dale AM. On the estimation of population-specific synaptic currents from laminar multielectrode recordings. Frontiers in Neuroinformatics. 5: 32. PMID 22203801 DOI: 10.3389/Fninf.2011.00032 |
0.319 |
|
| 2011 |
Lindén H, Tetzlaff T, Potjans TC, Pettersen KH, Grün S, Diesmann M, Einevoll GT. Modeling the spatial reach of the LFP. Neuron. 72: 859-72. PMID 22153380 DOI: 10.1016/J.Neuron.2011.11.006 |
0.333 |
|
| 2011 |
Halnes G, Augustinaite S, Heggelund P, Einevoll GT, Migliore M. A multi-compartment model for interneurons in the dorsal lateral geniculate nucleus. Plos Computational Biology. 7: e1002160. PMID 21980270 DOI: 10.1371/Journal.Pcbi.1002160 |
0.367 |
|
| 2011 |
ÅÄ™ski S, Pettersen KH, Tunstall B, Einevoll GT, Gigg J, Wójcik DK. Inverse current source density method in two dimensions: inferring neural activation from multielectrode recordings. Neuroinformatics. 9: 401-25. PMID 21409556 DOI: 10.1007/S12021-011-9111-4 |
0.312 |
|
| 2011 |
Heiberg T, Tetzlaff T, Kriener B, Plesser HE, Einevoll GT. Rate dynamics of the retina-LGN connection Bmc Neuroscience. 12. DOI: 10.1186/1471-2202-12-S1-P90 |
0.334 |
|
| 2011 |
Norheim ES, Szymanski FD, Pettersen KH, Indahl UG, Schnupp JW, Einevoll GT. Laminar population analysis of multielectrode recordings from rat primary auditory cortex Bmc Neuroscience. 12. DOI: 10.1186/1471-2202-12-S1-P87 |
0.358 |
|
| 2011 |
Lindén H, Tetzlaff T, Potjans TC, Pettersen KH, Grün S, Diesmann M, Einevoll GT. How local is the local field potential? Bmc Neuroscience. 12. DOI: 10.1186/1471-2202-12-S1-O8 |
0.402 |
|
| 2010 |
Nordlie E, Tetzlaff T, Einevoll GT. Rate Dynamics of Leaky Integrate-and-Fire Neurons with Strong Synapses. Frontiers in Computational Neuroscience. 4: 149. PMID 21212832 DOI: 10.3389/fncom.2010.00149 |
0.326 |
|
| 2010 |
Einevoll GT, Wójcik DK, Destexhe A. Modeling extracellular potentials. Journal of Computational Neuroscience. 29: 367-9. PMID 20936339 DOI: 10.1007/S10827-010-0283-Y |
0.432 |
|
| 2010 |
Lindén H, Pettersen KH, Einevoll GT. Intrinsic dendritic filtering gives low-pass power spectra of local field potentials. Journal of Computational Neuroscience. 29: 423-44. PMID 20502952 DOI: 10.1007/s10827-010-0245-4 |
0.379 |
|
| 2010 |
Tetzlaff T, Helias M, Einevoll GT, Diesmann M. Decorrelation of low-frequency neural activity by inhibitory feedback Bmc Neuroscience. 11. DOI: 10.1186/1471-2202-11-S1-O11 |
0.312 |
|
| 2008 |
Pettersen KH, Hagen E, Einevoll GT. Estimation of population firing rates and current source densities from laminar electrode recordings. Journal of Computational Neuroscience. 24: 291-313. PMID 17926125 DOI: 10.1007/s10827-007-0056-4 |
0.38 |
|
| 2008 |
Pettersen KH, Einevoll GT. Amplitude variability and extracellular low-pass filtering of neuronal spikes. Biophysical Journal. 94: 784-802. PMID 17921225 DOI: 10.1529/biophysj.107.111179 |
0.314 |
|
| 2007 |
Einevoll GT, Pettersen KH, Devor A, Ulbert I, Halgren E, Dale AM. Laminar population analysis: estimating firing rates and evoked synaptic activity from multielectrode recordings in rat barrel cortex. Journal of Neurophysiology. 97: 2174-90. PMID 17182911 DOI: 10.1152/Jn.00845.2006 |
0.379 |
|
| 2007 |
WYLLER J, BLOMQUIST P, EINEVOLL GT. ON THE ORIGIN AND PROPERTIES OF TWO-POPULATION NEURAL FIELD MODELS - A TUTORIAL INTRODUCTION Biophysical Reviews and Letters. 2: 79-98. DOI: 10.1142/S1793048007000441 |
0.305 |
|
| 2002 |
Einevoll G, Plesser HE. Linear mechanistic models for the dorsal lateral geniculate nucleus of cat probed using drifting-grating stimuli Network: Computation in Neural Systems. 13: 503-530. PMID 12463342 DOI: 10.1088/0954-898X/13/4/305 |
0.343 |
|
| 1970 |
Nordlie E, Einevoll G, Tetzlaff T. Firing-rate response properties of spiking neurons: beyond the diffusion limit Frontiers in Neuroinformatics. DOI: 10.3389/Conf.Neuro.11.2009.08.118 |
0.339 |
|
| 1970 |
Diesmann M, Einevoll G, Potjans T, Lindén H, Grün S. Modeling the local field potential by a large-scale layered cortical network model Frontiers in Neuroinformatics. DOI: 10.3389/Conf.Neuro.11.2009.08.046 |
0.34 |
|
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