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  Inferring Spike Trains From Local Field Potentials

Rasch, M., Gretton, A., Murayama, Y., Maass, W., & Logothetis, N. (2008). Inferring Spike Trains From Local Field Potentials. Journal of Neurophysiology, 99(3), 1461-1476. doi:doi:10.1152/jn.00919.2007.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-CA19-E Version Permalink: http://hdl.handle.net/21.11116/0000-0003-3151-A
Genre: Journal Article

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Rasch, MJ, Author              
Gretton, A1, 2, Author              
Murayama, Y2, 3, Author              
Maass, W, Author
Logothetis, NK2, 3, Author              
Affiliations:
1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              
3Department Physiology of Cognitive Processes, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497798              

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 Abstract: We investigated whether it is possible to infer spike trains solely on the basis of the underlying local field potentials (LFPs). Using support vector machines and linear regression models, we found that in the primary visual cortex (V1) of monkeys, spikes can indeed be inferred from LFPs, at least with moderate success. Although there is a considerable degree of variation across electrodes, the low-frequency structure in spike trains (in the 100-ms range) can be inferred with reasonable accuracy, whereas exact spike positions are not reliably predicted. Two kinds of features of the LFP are exploited for prediction: the frequency power of bands in the high gamma-range (40amp;amp;amp;amp;amp;8211;90 Hz) and information contained in lowfrequency oscillations ( 10 Hz), where both phase and power modulations are informative. Information analysis revealed that both features code (mainly) independent aspects of the spike-to-LFP relationship, with the low-frequency LFP phase coding for temporally clustered spiking activity. Although both features and prediction quality are similar during seminatural movie stimuli and spontaneous activity, prediction performance during spontaneous activity degrades much more slowly with increasing electrode distance. The general trend of data obtained with anesthetized animals is qualitatively mirrored in that of a more limited data set recorded in V1 of non-anesthetized monkeys. In contrast to the cortical field potentials, thalamic LFPs (e.g., LFPs derived from recordings in the dorsal lateral geniculate nucleus) hold no useful information for predicting spiking activity.

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 Dates: 2008-03
 Publication Status: Published in print
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 Identifiers: DOI: doi:10.1152/jn.00919.2007
BibTex Citekey: 4946
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Title: Journal of Neurophysiology
  Other : J. Neurophysiol.
Source Genre: Journal
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Publ. Info: Bethesda, MD : The Society
Pages: - Volume / Issue: 99 (3) Sequence Number: - Start / End Page: 1461 - 1476 Identifier: ISSN: 0022-3077
CoNE: https://pure.mpg.de/cone/journals/resource/954925416959