Inferring Spike Trains From Local Field Potentials

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چکیده

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Inferring spike trains from local field potentials.

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, th...

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Title : Inferring spike trains from local field potentials

Affiliations: 1 Graz University of Technology Institute for Theoretical Computer Science Inffeldgasse 16b/I 8010 Graz, Austria 2 Max Planck Institute for Biological Cybernetics Spemannstrasse 38 72076 Tübingen, Germany 3 Imaging Science and Biomedical Engineering University of Manchester Manchester, United Kingdom Page 1 of 68 Articles in PresS. J Neurophysiol (December 26, 2007). doi:10.1152/j...

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UNLABELLED The responses of sensory neurons can be quite different to repeated presentations of the same stimulus. Here, we demonstrate a direct link between the trial-to-trial variability of cortical neuron responses and network activity that is reflected in local field potentials (LFPs). Spikes and LFPs were recorded with a multielectrode array from the middle temporal (MT) area of the visual...

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Generation of spatiotemporally correlated spike trains and local field potentials using a multivariate autoregressive process.

Experimental advances allowing for the simultaneous recording of activity at multiple sites have significantly increased our understanding of the spatiotemporal patterns in neural activity. The impact of such patterns on neural coding is a fundamental question in neuroscience. The simulation of spike trains with predetermined activity patterns is therefore an important ingredient in the study o...

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ژورنال

عنوان ژورنال: Journal of Neurophysiology

سال: 2008

ISSN: 0022-3077,1522-1598

DOI: 10.1152/jn.00919.2007