… of a small-sized humanoid robot (Lungarella & Berthouze, 2002a,b), we provided … the
claims made in the present paper have been published (Lungarella & Berthouze, 2004). …

Much of the motor impairment associated with Parkinson’s disease is thought to arise from
pathological activity in the networks formed by the basal ganglia (BG) and motor cortex. To …

Rectification of surface EMG before spectral analysis is a well-established preprocessing
method used in the detection of motor unit firing patterns. A number of recent studies have …

OBJECTIVE: Long-range temporal correlations (LRTC) of EEG amplitude fluctuations in
adults reveal power-law statistics and have been interpreted within the framework of self-…

In this paper a random link activation–deletion (RLAD) model is proposed that gives rise to
a stochastically evolving network. This dynamic network is then coupled to a simple …

… l F s c a l e d = 100 × l F − l F m i n l F m a x − l F m i n … The matrix of delays D is
extracted from a matrix of empirical distances L between regions using: …

… paths or closed paths) of length l+1 given non-trivial (non-loop) paths of length l. The
description below is not specific to a single length but assumes l ≥ 2 . Data The uniquely counted …

An adaptive network model using SIS epidemic propagation with link-type-dependent link
activation and deletion is considered. Bifurcation analysis of the pairwise ODE approximation …

… Berthouze described experiments with a nonlinear redundant four degrees of freedom (DOF)
robotic vision system, where, to reduce the risk of being trapped in stable but inconsistent …

Designing algorithms that generate networks with a given degree sequence while varying
both subgraph composition and distribution of subgraphs around nodes is an important but …