Topic: neural synchrony

Recent advances in human intracranial recordings have significantly deepened our understanding of complex cognitive functions like working memory (WM) at the circuit level. While single-neuron analyses, primarily within the medial temporal lobes, have elucidated how individual neurons contribute to memory computation, the role of local field potential (LFP) dynamics in complementing single-unit activity during WM tasks remains poorly understood. To address this, we developed biologically plausible spiking recurrent neural networks (RNNs) trained on a delayed match-to-sample (DMS) task which in

Traveling waves (TWs) in the brain are a form of neural synchrony. They have been observed across various regions, including the visual cortex and hippocampus, during both spontaneous and task-related activities. These waves are believed to play crucial roles in cognitive processes such as sensory perception and working memory. However, most identified TWs propagate along the cortical surface, leaving it unclear whether they also travel through the depth of the cortex. We address this gap by analyzing laminar TWs of macaque visual areas V1 and V4. We analyzed neural activities recorded from mu

Given the primacy of early relationships for child health, development and wellbeing, we developed an emotional synchrony (ES) scale; an observer-based assessment of dyadic interaction behaviors that translate mutual emotional engagement. Drawing on broader literature, we hypothesize that stronger ES may be a mutual experience particularly conducive to neural synchrony, thus leading to optimal child socioemotional development. Here, we investigate the behavioral correlates of dyadic ES using video-based data obtained from the COMBO Initiative relational health observational assessment. A subse

The first days of post-cardiac arrest (CA) coma represent a volatile yet underexplored state, as neural functions drastically change over time. Previous literature has shown that bodily functions of patients fluctuate within a day, some of which follow circadian rhythms. The information content of electroencephalography (EEG) activity, such as Lempel-Ziv complexity (LZc) or the slope of the 1/f-power decay can differentiate between levels of consciousness, while the phase-locking value (PLV) in the first 24 h of coma is predictive of patients’ outcome. Yet, it remains unknown how these measure