For several decades, the dynamic of the sensory-motor circuitry has been envisaged to be linear in nature. Two main models for kinesia have emerged from this simple conceptualization of neuronal and network functioning: the “rate hypothesis” and the “oscillatory model”. These models were based on the linear components (i.e mean firing rate, frequency of oscillatory activities) of signals recorded at the levels of single neuronal or network of the sensory motor circuitry.
Recently, there has been an emerging interest for the irregularities observed in motor-related neuronal activity. Using non-linear analyses, the irregularities observed in the neuronal or networks data stream have been described to be composed of complex temporal organization and not to be random. There has been evidences that these non-linear features are sensitive to treatments for movements disorders (i.e. dopamine agonist, DBS) and may differ between conditions (i.e Parkinson disease, Dystonia).
This topic is devoted (i) to issues regarding clinical and experimental evidences for non-linear components in normal and pathological conditions, (ii) to methodologies to analyses non-linear dynamics of systems related to movements and (iii) to non-linear models for sensori-motor systems (conceptual and computational).
For several decades, the dynamic of the sensory-motor circuitry has been envisaged to be linear in nature. Two main models for kinesia have emerged from this simple conceptualization of neuronal and network functioning: the “rate hypothesis” and the “oscillatory model”. These models were based on the linear components (i.e mean firing rate, frequency of oscillatory activities) of signals recorded at the levels of single neuronal or network of the sensory motor circuitry.
Recently, there has been an emerging interest for the irregularities observed in motor-related neuronal activity. Using non-linear analyses, the irregularities observed in the neuronal or networks data stream have been described to be composed of complex temporal organization and not to be random. There has been evidences that these non-linear features are sensitive to treatments for movements disorders (i.e. dopamine agonist, DBS) and may differ between conditions (i.e Parkinson disease, Dystonia).
This topic is devoted (i) to issues regarding clinical and experimental evidences for non-linear components in normal and pathological conditions, (ii) to methodologies to analyses non-linear dynamics of systems related to movements and (iii) to non-linear models for sensori-motor systems (conceptual and computational).
