Abstract

Neuronal avalanches are scale-invariant neuronal population activity patterns in the cortex that emerge in vivo in the awake state and in vitro during balanced excitation and inhibition. Theory and experiments suggest that avalanches indicate a state of cortex that improves numerous aspects of information processing by allowing for the transient and selective formation of local as well as system-wide spanning neuronal groups. If avalanches are indeed involved with information processing, one might expect that single neurons would participate in avalanche patterns selectively. Alternatively, all neurons could participate proportionally to their own activity in each avalanche as would be expected for a population rate code. Distinguishing these hypotheses, however, has been difficult as robust avalanche analysis requires technically challenging measures of their intricate organization in space and time at the population level, while also recording sub- or suprathreshold activity from individual neurons with high temporal resolution. Here, we identify repeated avalanches in the ongoing local field potential (LFP) measured with high-density microelectrode arrays in the cortex of awake nonhuman primates and in acute cortex slices from young and adult rats. We studied extracellular unit firing in vivo and intracellular responses of pyramidal neurons in vitro. We found that single neurons participate selectively in specific LFP-based avalanche patterns. Furthermore, we show in vitro that manipulating the balance of excitation and inhibition abolishes this selectivity. Our results support the view that avalanches represent the selective, scale-invariant formation of neuronal groups in line with the idea of Hebbian cell assemblies underlying cortical information processing.

Highlights

  • Understanding how the collective dynamics of the cortex emerges from neuronal interactions is a fundamental challenge in neuroscience

  • Consistent with previous studies in awake animals (Destexhe et al, 1999; Petermann et al, 2009), we found that peri-event time histograms (PETHs) of unit counts often indicated peak firing centered on the negative LFP deflections (nLFPs) times

  • Spatiotemporal local field potential (LFP) patterns were distributed in sizes according to a power law, the hallmark of neuronal avalanches

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Summary

Introduction

Understanding how the collective dynamics of the cortex emerges from neuronal interactions is a fundamental challenge in neuroscience. Of particular interest in this context has been the discovery of ‘‘neuronal avalanches’’ in spontaneous (Beggs and Plenz, 2003; Petermann et al, 2009; Miller et al, 2019) and evoked cortical activity (Shew et al, 2015; Yu et al, 2017) in Single Neuron Participation in Avalanches which the collective dynamics of the cortex has been mapped using the local field potential (LFP).

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