Precise spike synchrony has been widely reported in the central nervous system, but its functional role in encoding, processing, and transmitting information is yet unresolved. Of particular interest is firing synchrony between inhibitory cortical interneurons, thought to drive various cortical rhythms such as gamma oscillations, the hallmark of cognitive states. Precise synchrony can arise bet...

Motion synchrony correlates with effective and well-rated human interaction. However, people do not remain locked in synchrony; Instead, they repeatedly enter and exit synchrony. In many important interactions, such as therapy, marriage and parent-infant communication, it is the ability to exit and then re-enter synchrony that is thought to build strong relationship. The phenomenon of entry int...

Dynamical systems with a network structure can display anomalous bifurcations as a generic phenomenon. As an explanation for this it has been noted that homogeneous networks can be realized as quotient networks of so-called fundamental networks. The class of admissible vector fields for these fundamental networks is equal to the class of equivariant vector fields of the regular representation o...

Although context-dependent spike synchronization among populations of neurons has been experimentally observed, its functional role remains controversial. In this modeling study, we demonstrate that in a network of spiking neurons organized according to spike-timing-dependent plasticity, an increase in the degree of synchrony of a uniform input can cause transitions between memorized activity p...

We propose an online sensorimotor architecture for controlling a low-cost humanoid robot to perform dance movements synchronized with musical stimuli. The proposed architecture attempts to overcome the robot’s motor constraints by adjusting the velocity of its actuators and inter-changing the attended beat metrical-level on-the-fly. Moreover, we propose quantitative metrics for measuring the le...

Robert E. Druzinsky Dept. of Physiology Northwestern University Chicago, IT.. 60611 w. Zev Rymer Dept. of Physiology and Biomedical Engineering Northwestern University Chicago, IT.. 60611 Using a quasi-realistic model of the feedback inhibition ofmotoneurons (MNs) by Renshaw cells, we show that weak inhibition is sufficient to maximally desynchronize MNs, with negligible effects on total MN act...

Previous research suggests that people are rather poor at perceiving auditory-visual (AV) speech asynchrony, especially when the visual signal occurs first. However, estimates of AV synchrony detection depend on many factors and previous measures may have underestimated its precision. Here we used a synchrony-driven search task to examine how accurately an observer could detect AV speech synchr...

In this paper, we investigate how degree of, and temporal changes in, interactional synchrony can signal whether an interactant is truthful or deceptive. We propose an automated, data-driven and unobtrusive framework using visual cues. Our framework consists of face tracking, gesture detection, facial expression recognition and interactional synchrony estimation. This framework is able to autom...