Abstract

The idea that a flexible behavior relies on synchronous neural activity within intra- and inter-associated cortical areas has been a matter of intense research in human and animal neuroscience. The neurophysiological mechanisms underlying this behavioral correlate of the synchronous activity are still unknown. It has been suggested that the strength of neural synchrony at the level of population is an important neural code to guide an efficient transformation of the sensory input into the behavioral action. In this study, we have examined the non-linear synchronization between neural ensembles in area MT of the macaque visual cortex by employing a non-linear cross-frequency coupling technique, namely bicoherence. We trained a macaque monkey to detect a brief change in the cued stimulus during a visuomotor detection task. The results show that the non-linear phase synchronization in the high-gamma frequency band (100–250 Hz) predicts the animal’s reaction time. The strength of non-linear phase synchronization is selective to the target stimulus location. In addition, the non-linearity characteristics of neural synchronization are selectively modulated when the monkey covertly attends to the stimulus inside the neuron’s receptive field. This additional evidence indicates that non-linear neuronal synchronization may be affected by a cognitive function like spatial attention. Our neural and behavioral observations reflect that two crucial processes may be involved in processing of visuomotor information in area MT: (I) a non-linear cortical process (measured by the bicoherence) and (II) a linear process (measured by the spectral power).

Highlights

  • Neural oscillations are frequently observed in cortical activities

  • The monkey was rewarded with a drop of juice if it correctly detected a short direction change in the target random dot patterns (RDP) (Figure 1, see section “Materials and Methods”)

  • We calculated the bicoherence for local field potential (LFP) to investigate how the nonlinear neuronal synchronization likely leads to fast or slow behavior

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Summary

Introduction

Neural oscillations are frequently observed in cortical activities. Notably, it has been widely asserted that neural oscillations are involved in many cortical computations, including sensory coding (Siegel et al, 2007; Belitski et al, 2008; Schroeder and Lakatos, 2009) and information transmission (Hipp et al, 2011; van Kerkoerle et al, 2014; Rohenkohl et al, 2018). A study on the visuospatial working memory in human indicated that CFC between oscillatory phases of theta (4–8 Hz) and gamma (50–70Hz) activities can regulate an effective communication between occipital and parietal brain regions (Holz et al, 2010) Another investigation in macaque monkey suggested that coupling between the phase of theta oscillations (3–8 Hz) and the power of high frequencies (9–45 Hz) during spatial attention potentially facilitates an interregional communication between the frontal eye field (FEF) area, lateral intraparietal area (LIP), and visual cortex (Fiebelkorn et al, 2018)

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