Inferring network model from local field potentials

Inferring Cortical Variability from Local Field Potentials.

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...

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...

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...

Inferring Synaptic E : I Balance from Field Potentials 1 Title : Inferring Synaptic Excitation / Inhibition Balance from Field Potentials 1

Inferring synaptic excitation/inhibition balance from field potentials

Neural circuits sit in a dynamic balance between excitation (E) and inhibition (I). Fluctuations in E:I balance have been shown to influence neural computation, working memory, and information flow, while more drastic shifts and aberrant E:I patterns are implicated in numerous neurological and psychiatric disorders. Current methods for measuring E:I dynamics require invasive procedures that are...