The Matsuoka oscillator has been used to control various robots that perform rhythmic movements. The oscillator-driven control system usually takes a feedback structure. While the oscillator actuates some part of a controlled object, some state variable of the object is fed back to the oscillator. An important property of this control scheme is that the oscillator comes to drive the object at i...

Distributed synchronization is known to occur at several scales in the brain, and has been suggested as playing a key functional role in perceptual grouping. State-of-the-art visual grouping algorithms, however, seem to give comparatively little attention to neural synchronization analogies. Based on the framework of concurrent synchronization of dynamical systems, simple networks of neural osc...

duffing harmonic oscillator is a common model for nonlinear phenomena in science and engineering. this paper presents he´s energy balance method (ebm) for solving nonlinear differential equations. two strong nonlinear cases have been studied analytically. analytical results of the ebm are compared with the solutions obtained by using he´s frequency amplitude formulation (faf) and numerical solu...

In many animals, rhythmic motor activity is governed by neural limit cycle oscillations under the control of sensory feedback. In the fruit fly Drosophila melanogaster, the wingbeat rhythm is generated myogenically by stretch-activated muscles and hence independently from direct neural input. In this study, we explored if generation and cycle-by-cycle control of Drosophila's wingbeat are functi...

A simple pendulum model is used to study how feedforward and feedback can be combined to control rhythmic limb movements. I show that a purely feedforward central pattern generator (CPG) is highly sensitive to unexpected disturbances. Pure feedback control analogous to reflex pathways can compensate for disturbances but is sensitive to imperfect sensors. I demonstrate that for systems subject t...

Synchronization of neural oscillations as a mechanism of brain function is attracting increasing attention. Neural oscillation is a rhythmic neural activity that can be easily observed by noninvasive electroencephalography (EEG). Neural oscillations show the same frequency and cross-frequency synchronization for various cognitive and perceptual functions. However, it is unclear how this neural ...

In fact, many researchers have dealt with these fields individually as inherent research approaches. However although these strategies have performed independently in robotics fields, these approaches are key matters connected with our objective. Although recently many humanoid robots have made their successful debut, they are still very difficult to control. Thus they may not behave as expecte...

Two different partially recurrent neural networks st,ructured as Multi Layer Perceptrons (MLP) are inves tigated for time domain identification of a nonlinear structure. The one partially recurrent neural network has feedback of a displacement component from t,he output layer to a tapped-delay-line (TDL) input layer. The other recurrent neural network bazd on the Innovation State Space model (I...

Central pattern generator (CPG) is defined here as a neural network responsible for the production of the timing cues of a rhythmic motor output pattern. In biological system, the CPG is a network of neurons that generate the rhythmic movements such as locomotion of animals. This rhythmic movement will induced a coordination of physical parts that necessary for stable locomotion. To implement t...

Effects of additive noise on a series of the periods of oscillations in unidirectionally coupled ring neural networks of ring oscillator type are studied. Kinematical models of the traveling waves of an inconsistency, i.e. the successive same signs in the states of adjacent neurons in the network, are derived. A series of the half periods in the network of N neuron is then expressed by the sum ...