In recent years, several phenomenological dynamical models have been formulated that describe how perceptual variables are incorporated in the control of motor variables. We call these short-route models as they do not address how perception–action patterns might be constrained by the dynamical properties of the sensory, neural and musculoskeletal subsystems of the human action system. As an alternative, we advocate a long-route modelling approach in which the dynamics of these subsystems are explicitly addressed and integrated to reproduce interceptive actions. The approach is exemplified through a dis-cussion of a recently developed model for interceptive actions consisting of a neural network architecture for the online generation of mot...
In the study of sensorimotor systems, an important research goal has been to understand the way neur...
International audienceA neural network model for a sensorimotor system, which was developed to simul...
International audienceA neural network model for a sensorimotor system, which was developed to simul...
In recent years, several phenomenological dynamical models have been formulated that describe how pe...
In recent years, several phenomenological dynamical models have been formulated that describe how pe...
Two prospective controllers of hand movements in catching-both based on required velocity control-we...
Besides making contact with an approaching ball at the proper place and time, hitting requires contr...
Besides making contact with an approaching ball at the proper place and time, hitting requires contr...
Mammalian motor control is implemented by a combination of different networks and system, working co...
Two prospective controllers of hand movements in catching -- both based on required velocity control...
Coordinated fast movements are characterised by an effective intermuscular interaction. The result o...
This article describes two neural network modules that form part of an emerging theory of how adapti...
The complex bio-mechanics of human body is capable of generating an unlimited repertoire of movement...
Conventional models of motor control exploit the spatial representation of the controlled system to ...
Many of the actions we perform are defined by the effects they bring about, rather than as stereotyp...
In the study of sensorimotor systems, an important research goal has been to understand the way neur...
International audienceA neural network model for a sensorimotor system, which was developed to simul...
International audienceA neural network model for a sensorimotor system, which was developed to simul...
In recent years, several phenomenological dynamical models have been formulated that describe how pe...
In recent years, several phenomenological dynamical models have been formulated that describe how pe...
Two prospective controllers of hand movements in catching-both based on required velocity control-we...
Besides making contact with an approaching ball at the proper place and time, hitting requires contr...
Besides making contact with an approaching ball at the proper place and time, hitting requires contr...
Mammalian motor control is implemented by a combination of different networks and system, working co...
Two prospective controllers of hand movements in catching -- both based on required velocity control...
Coordinated fast movements are characterised by an effective intermuscular interaction. The result o...
This article describes two neural network modules that form part of an emerging theory of how adapti...
The complex bio-mechanics of human body is capable of generating an unlimited repertoire of movement...
Conventional models of motor control exploit the spatial representation of the controlled system to ...
Many of the actions we perform are defined by the effects they bring about, rather than as stereotyp...
In the study of sensorimotor systems, an important research goal has been to understand the way neur...
International audienceA neural network model for a sensorimotor system, which was developed to simul...
International audienceA neural network model for a sensorimotor system, which was developed to simul...