Local field potentials indicate network state and account for neuronal response variability |
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Authors: | Ryan C Kelly Matthew A Smith Robert E Kass Tai Sing Lee |
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Institution: | (1) Center for the Neural Basis of Cognition, Pittsburgh, PA, USA;(2) Computer Science Department, Carnegie Mellon University, Pittsburgh, PA, USA;(3) Department of Neuroscience, University of Pittsburgh, Pittsburgh, PA, USA;(4) Department of Statistics, Carnegie Mellon University, Pittsburgh, PA, USA;(5) Machine Learning Department, Carnegie Mellon University, Pittsburgh, PA, USA |
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Abstract: | Multineuronal recordings have revealed that neurons in primary visual cortex (V1) exhibit coordinated fluctuations of spiking
activity in the absence and in the presence of visual stimulation. From the perspective of understanding a single cell’s spiking
activity relative to a behavior or stimulus, these network fluctuations are typically considered to be noise. We show that
these events are highly correlated with another commonly recorded signal, the local field potential (LFP), and are also likely
related to global network state phenomena which have been observed in a number of neural systems. Moreover, we show that attributing
a component of cell firing to these network fluctuations via explicit modeling of the LFP improves the recovery of cell properties.
This suggests that the impact of network fluctuations may be estimated using the LFP, and that a portion of this network activity
is unrelated to the stimulus and instead reflects ongoing cortical activity. Thus, the LFP acts as an easily accessible bridge
between the network state and the spiking activity. |
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Keywords: | |
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