December 2010, Volume 29, Issue 3, pp 599-613,
Open Access This content is freely available online to anyone, anywhere at any time.
Date: 18 May 2010
Estimating the contribution of assembly activity to cortical dynamics from spike and population measures
The hypothesis that cortical networks employ the coordinated activity of groups of neurons, termed assemblies, to process information is debated. Results from multiple single-unit recordings are not conclusive because of the dramatic undersampling of the system. However, the local field potential (LFP) is a mesoscopic signal reflecting synchronized network activity. This raises the question whether the LFP can be employed to overcome the problem of undersampling. In a recent study in the motor cortex of the awake behaving monkey based on the locking of coincidences to the LFP we determined a lower bound for the fraction of spike coincidences originating from assembly activation. This quantity together with the locking of single spikes leads to a lower bound for the fraction of spikes originating from any assembly activity. Here we derive a statistical method to estimate the fraction of spike synchrony caused by assemblies—not its lower bound—from the spike data alone. A joint spike and LFP surrogate data model demonstrates consistency of results and the sensitivity of the method. Combining spike and LFP signals, we obtain an estimate of the fraction of spikes resulting from assemblies in the experimental data.
Action Editor: Daniel Krzysztof Wojcik
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- Estimating the contribution of assembly activity to cortical dynamics from spike and population measures
- Open Access
- Available under Open Access This content is freely available online to anyone, anywhere at any time.
Journal of Computational Neuroscience
Volume 29, Issue 3 , pp 599-613
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- Springer US
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- Network dynamics
- Motor cortex
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- Author Affiliations
- 1. RIKEN Brain Science Institute, Wako City, Japan
- 2. Mediterranean Institute of Cognitive Neuroscience (INCM), CNRS—Univ. Aix-Marseille 2, Marseille, France
- 3. Brain and Neural Systems Team, RIKEN Computational Science Research Program, Wako City, Japan