In vivo measurement of cortical impedance spectrum in monkeys: implications for signal propagation
Logothetis NK, Kayser C, Oeltermann A (2007)
Neuron 55(5): 809-23.
Zeitschriftenaufsatz | Englisch
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Autor*in
Logothetis, N. K.;
Kayser, ChristophUniBi ;
Oeltermann, A.
Stichworte
Action Potentials/ physiology Animals Axons/physiology Electric Impedance Electrophysiology/methods Evoked Potentials/ physiology Haplorhini/anatomy & histology/ physiology Models;
Neurological Nerve Fibers;
Myelinated/physiology Neural Conduction/physiology Neural Pathways/ physiology Neurons/ physiology Neuropil/physiology Signal Processing;
Computer-Assisted Synaptic Transmission/physiology Visual Cortex/anatomy & histology/ physiology
Erscheinungsjahr
2007
Zeitschriftentitel
Neuron
Band
55
Ausgabe
5
Seite(n)
809-23
ISBN
0896-6273 (Print) 0896-6273 (Linking)
ISSN
0896-6273
Page URI
https://pub.uni-bielefeld.de/record/2914222
Zitieren
Logothetis NK, Kayser C, Oeltermann A. In vivo measurement of cortical impedance spectrum in monkeys: implications for signal propagation. Neuron. 2007;55(5):809-23.
Logothetis, N. K., Kayser, C., & Oeltermann, A. (2007). In vivo measurement of cortical impedance spectrum in monkeys: implications for signal propagation. Neuron, 55(5), 809-23. doi:10.1016/j.neuron.2007.07.027
Logothetis, N. K., Kayser, Christoph, and Oeltermann, A. 2007. “In vivo measurement of cortical impedance spectrum in monkeys: implications for signal propagation”. Neuron 55 (5): 809-23.
Logothetis, N. K., Kayser, C., and Oeltermann, A. (2007). In vivo measurement of cortical impedance spectrum in monkeys: implications for signal propagation. Neuron 55, 809-23.
Logothetis, N.K., Kayser, C., & Oeltermann, A., 2007. In vivo measurement of cortical impedance spectrum in monkeys: implications for signal propagation. Neuron, 55(5), p 809-23.
N.K. Logothetis, C. Kayser, and A. Oeltermann, “In vivo measurement of cortical impedance spectrum in monkeys: implications for signal propagation”, Neuron, vol. 55, 2007, pp. 809-23.
Logothetis, N.K., Kayser, C., Oeltermann, A.: In vivo measurement of cortical impedance spectrum in monkeys: implications for signal propagation. Neuron. 55, 809-23 (2007).
Logothetis, N. K., Kayser, Christoph, and Oeltermann, A. “In vivo measurement of cortical impedance spectrum in monkeys: implications for signal propagation”. Neuron 55.5 (2007): 809-23.
Daten bereitgestellt von European Bioinformatics Institute (EBI)
186 Zitationen in Europe PMC
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Deng ZD, Lisanby SH, Peterchev AV., IEEE Trans Neural Syst Rehabil Eng 23(1), 2015
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Anastassiou CA, Koch C., Curr Opin Neurobiol 31(), 2015
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Kajikawa Y, Schroeder CE., J Neurophysiol 113(1), 2015
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Murakami S, Okada Y., Neuroimage 111(), 2015
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Podvalny E, Noy N, Harel M, Bickel S, Chechik G, Schroeder CE, Mehta AD, Tsodyks M, Malach R., J Neurophysiol 114(1), 2015
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Local field potentials in primate motor cortex encode grasp kinetic parameters.
Milekovic T, Truccolo W, Grün S, Riehle A, Brochier T., Neuroimage 114(), 2015
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Sinha M, Narayanan R., Proc Natl Acad Sci U S A 112(17), 2015
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Anastassiou CA, Perin R, Buzsáki G, Markram H, Koch C., J Neurophysiol 114(1), 2015
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The electric field distribution in the brain during TTFields therapy and its dependence on tissue dielectric properties and anatomy: a computational study.
Wenger C, Salvador R, Basser PJ, Miranda PC., Phys Med Biol 60(18), 2015
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Modelling and Analysis of Electrical Potentials Recorded in Microelectrode Arrays (MEAs).
Ness TV, Chintaluri C, Potworowski J, Łęski S, Głąbska H, Wójcik DK, Einevoll GT., Neuroinformatics 13(4), 2015
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Can Neural Activity Propagate by Endogenous Electrical Field?
Qiu C, Shivacharan RS, Zhang M, Durand DM., J Neurosci 35(48), 2015
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Covariation between Spike and LFP Modulations Revealed with Focal and Asynchronous Stimulation of Receptive Field Surround in Monkey Primary Visual Cortex.
Kim K, Kim T, Yoon T, Lee C., PLoS One 10(12), 2015
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Wagner T, Eden U, Rushmore J, Russo CJ, Dipietro L, Fregni F, Simon S, Rotman S, Pitskel NB, Ramos-Estebanez C, Pascual-Leone A, Grodzinsky AJ, Zahn M, Valero-Cabré A., Neuroimage 85 Pt 3(), 2014
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Assessment of electric field distribution in anisotropic cortical and subcortical regions under the influence of tDCS.
Shahid S, Wen P, Ahfock T., Bioelectromagnetics 35(1), 2014
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Deng ZD, Lisanby SH, Peterchev AV., Clin Neurophysiol 125(6), 2014
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Obien ME, Deligkaris K, Bullmann T, Bakkum DJ, Frey U., Front Neurosci 8(), 2014
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A methodology for fast assessments to the electrical activity of barrel fields in vivo: from population inputs to single unit outputs.
Riera JJ, Goto T, Kawashima R., Front Neural Circuits 8(), 2014
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Ghose D, Maier A, Nidiffer A, Wallace MT., J Neurosci 34(12), 2014
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Microcircuitry of agranular frontal cortex: testing the generality of the canonical cortical microcircuit.
Godlove DC, Maier A, Woodman GF, Schall JD., J Neurosci 34(15), 2014
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Accurate resistivity mouse brain mapping using microelectrode arrays.
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He BJ., Trends Cogn Sci 18(9), 2014
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Predicting the electric field distribution in the brain for the treatment of glioblastoma.
Miranda PC, Mekonnen A, Salvador R, Basser PJ., Phys Med Biol 59(15), 2014
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Surface-based mixed effects multilevel analysis of grouped human electrocorticography.
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The application of electro- and magneto-encephalography in tinnitus research - methods and interpretations.
Adjamian P., Front Neurol 5(), 2014
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Windhoff M, Opitz A, Thielscher A., Hum Brain Mapp 34(4), 2013
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Basalyga G, Montemurro MA, Wennekers T., J Comput Neurosci 34(2), 2013
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LFPy: a tool for biophysical simulation of extracellular potentials generated by detailed model neurons.
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Nelson MJ, Bosch C, Venance L, Pouget P., J Neurosci 33(7), 2013
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Wu J, Yang H, Peng Y, Fang L, Zheng W, Song Z., Neural Regen Res 8(8), 2013
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A detailed and fast model of extracellular recordings.
Camuñas-Mesa LA, Quiroga RQ., Neural Comput 25(5), 2013
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Lempka SF, McIntyre CC., PLoS One 8(3), 2013
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Kuokkanen PT, Ashida G, Carr CE, Wagner H, Kempter R., J Neurophysiol 110(1), 2013
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The contribution of electrophysiology to functional connectivity mapping.
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The utility of multichannel local field potentials for brain-machine interfaces.
Hwang EJ, Andersen RA., J Neural Eng 10(4), 2013
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A biophysically detailed model of neocortical local field potentials predicts the critical role of active membrane currents.
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A systematic review of the effects of NMDA receptor antagonists on oscillatory activity recorded in vivo.
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Finding synchrony in the desynchronized EEG: the history and interpretation of gamma rhythms.
Ahmed OJ, Cash SS., Front Integr Neurosci 7(), 2013
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Waldert S, Lemon RN, Kraskov A., J Physiol 591(21), 2013
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Mechler F, Victor JD., J Comput Neurosci 32(1), 2012
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Nelson MJ, Pouget P., J Neurophysiol 107(5), 2012
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Stratton P, Cheung A, Wiles J, Kiyatkin E, Sah P, Windels F., PLoS One 7(6), 2012
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Thielscher A, Opitz A, Windhoff M., Neuroimage 54(1), 2011
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Anastassiou CA, Perin R, Markram H, Koch C., Nat Neurosci 14(2), 2011
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Maier A, Aura CJ, Leopold DA., J Neurosci 31(6), 2011
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Grefkes C, Fink GR., Brain 134(pt 5), 2011
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Hill DN, Mehta SB, Kleinfeld D., J Neurosci 31(24), 2011
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Kajikawa Y, Schroeder CE., Neuron 72(5), 2011
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A population level computational model of the basal ganglia that generates parkinsonian Local Field Potential activity.
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Gawne TJ., J Comput Neurosci 29(3), 2010
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