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  In Vivo Measurement of Cortical Impedance Spectrum in Monkeys: Implications for Signal Propagation

Logothetis, N., Kayser, C., & Oeltermann, A. (2007). In Vivo Measurement of Cortical Impedance Spectrum in Monkeys: Implications for Signal Propagation. Neuron, 55(5), 809-823. doi:10.1016/j.neuron.2007.07.027.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-CBB9-B Version Permalink: http://hdl.handle.net/21.11116/0000-0003-BC1C-B
Genre: Journal Article

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Logothetis, NK1, 2, Author              
Kayser, C1, 2, 3, Author              
Oeltermann, A2, 4, Author              
Affiliations:
1Department Physiology of Cognitive Processes, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497798              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794              
3Research Group Physiology of Sensory Integration, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497808              
4Former Department MRZ, Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_2528700              

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 Abstract: To combine insights obtained from electric field potentials (LFP) and neuronal spiking activity (MUA) we need a better understanding of the relative spatial summation of these indices of neuronal activity. Compared to MUA, the LFP has greater spatial coherence, resulting in lower spatial specificity and lower stimulus selectivity. A differential propagation of low- and high-frequency electric signals supposedly underlies this phenomenon, which could result from cortical tissue specifically attenuating higher frequencies, i.e. from a frequency-dependent impedance spectrum. Here we directly measure the cortical impedance spectrum in vivo in monkey primary visual cortex. Our results show that impedance is independent of frequency, is homogeneous, tangentially isotropic within gray matter and can be theoretically predicted assuming a pure-resistive conductor. We propose that the spatial summation of LFP and MUA is determined by the size of these signals’ generators and the nature of neural events underlying them , rather than by biophysical properties of gray matter.

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 Dates: 2007-09
 Publication Status: Published in print
 Pages: -
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 Rev. Method: -
 Identifiers: DOI: 10.1016/j.neuron.2007.07.027
BibTex Citekey: 4626
 Degree: -

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Title: Neuron
Source Genre: Journal
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Publ. Info: Cambridge, Mass. : Cell Press
Pages: - Volume / Issue: 55 (5) Sequence Number: - Start / End Page: 809 - 823 Identifier: ISSN: 0896-6273
CoNE: https://pure.mpg.de/cone/journals/resource/954925560565