| Sensory information in local field potentials and spikes from visual and auditory cortices: time scales and frequency bands. | |
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MedLine Citation:
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PMID: 20232128 Owner: NLM Status: In-Process |
Abstract/OtherAbstract:
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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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Authors:
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Andrei Belitski; Stefano Panzeri; Cesare Magri; Nikos K Logothetis; Christoph Kayser |
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Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't Date: 2010-03-16 |
Journal Detail:
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Title: Journal of computational neuroscience Volume: 29 ISSN: 1573-6873 ISO Abbreviation: J Comput Neurosci Publication Date: 2010 Dec |
Date Detail:
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Created Date: 2010-11-12 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 9439510 Medline TA: J Comput Neurosci Country: United States |
Other Details:
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Languages: eng Pagination: 533-45 Citation Subset: IM |
Affiliation:
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Max Planck Institute for Biological Cybernetics, Spemannstrasse 38, 72076, Tübingen, Germany. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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