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  Sensory information in local field potentials and spikes from visual and auditory cortices: time scales and frequency bands

Belitski, A., Panzeri, S., Magri, C., Logothetis, N., & Kayser, C. (2010). Sensory information in local field potentials and spikes from visual and auditory cortices: time scales and frequency bands. Journal of Computational Neuroscience, 29(3), 533-545. doi:10.1007/s10827-010-0230-y.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-BD28-4 Version Permalink: http://hdl.handle.net/21.11116/0000-0002-68AA-A
Genre: Journal Article

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Belitski, A1, 2, Author              
Panzeri, S, Author              
Magri, C, Author              
Logothetis, NK1, 2, Author              
Kayser, C1, 2, 3, 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              

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 Abstract: Studies analyzing sensory cortical processing or trying to decode brain activity often rely on a combination of different electrophysiological signals, such as local field potentials (LFPs) and spiking activity. Understanding the relation between these signals and sensory stimuli and between different components of these signals is hence of great interest. We here provide an analysis of LFPs and spiking activity recorded from visual and auditory cortex during stimulation with natural stimuli. In particular, we focus on the time scales on which different components of these signals are informative about the stimulus, and on the dependencies between different components of these signals. Addressing the first question, we find that stimulus information in low frequency bands (<12 Hz) is high, regardless of whether their energy is computed at the scale of milliseconds or seconds. Stimulus information in higher bands (>50 Hz), in contrast, is scale dependent, and is larger when the energy is averaged over several hundreds of milliseconds. Indeed, combined analysis of signal reliability and information revealed that the energy of slow LFP fluctuations is well related to the stimulus even when considering individual or few cycles, while the energy of fast LFP oscillations carries information only when averaged over many cycles. Addressing the second question, we find that stimulus information in different LFP bands, and in different LFP bands and spiking activity, is largely independent regardless of time scale or sensory system. Taken together, these findings suggest that different LFP bands represent dynamic natural stimuli on distinct time scales and together provide a potentially rich source of information for sensory processing or decoding brain activity.

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 Dates: 2010-12
 Publication Status: Published in print
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 Rev. Method: -
 Identifiers: DOI: 10.1007/s10827-010-0230-y
BibTex Citekey: 6403
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Title: Journal of Computational Neuroscience
Source Genre: Journal
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Publ. Info: Boston : Kluwer Academic Publishers
Pages: - Volume / Issue: 29 (3) Sequence Number: - Start / End Page: 533 - 545 Identifier: ISSN: 0929-5313
CoNE: https://pure.mpg.de/cone/journals/resource/954925568787