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This Element examines visual perception in the context of activities that involve moving about in complex, dynamic environments. A central theme is that the ability of humans and other animals to perceive their surroundings based on vision is profoundly shaped by the need to adaptively regulate locomotion to variations in the environment. As such, important new insights into what and how we perceive can be gleaned by investigating the connection between vision and the control of locomotion. I present an integrated summary of decades of research on the perception of self-motion and object motion based on optic flow, the perception of spatial layout and affordances, and the control strategies for guiding locomotion based on visual information. I also explore important theoretical issues and debates, including the question of whether visual control relies on internal models.
The accomplishments were threefold. First, a software tool for rendering virtual environments was developed, a tool useful for other researchers interested in visual perception and visual control of action. Second, an instrumented electric scooter was developed that allows a person to drive around in virtual reality while experiencing the normal inertial cues associated with physical motion. This type of research vehicle can be used to investigate the roles of visual and inertial cues in the control of locomotion. Third, a number of behavioral experiments were conducted in real and virtual environments. The principal research findings were these: (1) complex behaviors, like steering a curved path and ball catching, can be performed without the retinal motion associated with luminance-based stimulation, (2) visual control of posture depends on the sensed relative motion between self and environment instead of on "optic flow", (3) people can continue steering a vehicle after the loss of visual information, implicating an internal model of surrounding space, (4) a steering error observed while driving with visual information only is eliminated when inertial cues.
International Society of Posturography. International Symposium
Author : International Society of Posturography. International Symposium Publisher : S. Karger AG (Switzerland) Page : 384 pages File Size : 23,93 MB Release : 1985 Category : Medical ISBN :
Since the classic studies of Woodworth (1899), the role of vision in the control of movement has been an important research topic in experimental psychology. While many early studies were concerned with the relative importance of vision and kinesthesis and/or the time it takes to use visual information, recent theoretical and technical developments have stimulated scientists to ask questions about how different sources of visual information contribute to motor control in different contexts. In this volume, articles are presented that provide a broad coverage of the current research and theory on vision and human motor learning and control. Many of the contributors are colleagues that have met over the years at the meetings and conferences concerned with human movement. They represent a wide range of affiliation and background including kinesiology, physical education, neurophysiology, cognitive psychology and neuropsychology. Thus the topic of vision and motor control is addressed from a number of different perspectives. In general, each author sets an empirical and theoretical framework for their topic, and then discusses current work from their own laboratory, and how it fits into the larger context. A synthesis chapter at the end of the volume identifies commonalities in the work and suggests directions for future experimentation.
Locomotion involves many different muscles and the need of controlling several degrees of freedom. Despite the Central Nervous System can finely control the contraction of individual muscles, emerging evidences indicate that strategies for the reduction of the complexity of movement and for compensating the sensorimotor delays may be adopted. Experimental evidences in animal and lately human model led to the concept of a central pattern generator (CPG) which suggests that circuitry within the distal part of CNS, i.e. spinal cord, can generate the basic locomotor patterns, even in the absence of sensory information. Different studies pointed out the role of CPG in the control of locomotion as well as others investigated the neuroplasticity of CPG allowing for gait recovery after spinal cord lesion. Literature was also focused on muscle synergies, i.e. the combination of (locomotor) functional modules, implemented in neuronal networks of the spinal cord, generating specific motor output by imposing a specific timing structure and appropriate weightings to muscle activations. Despite the great interest that this approach generated in the last years in the Scientific Community, large areas of investigations remain available for further improvement (e.g. the influence of afferent feedback and environmental constrains) for both experimental and simulated models. However, also supraspinal structures are involved during locomotion, and it has been shown that they are responsible for initiating and modifying the features of this basic rhythm, for stabilising the upright walking, and for coordinating movements in a dynamic changing environment. Furthermore, specific damages into spinal and supraspinal structures result in specific alterations of human locomotion, as evident in subjects with brain injuries such as stroke, brain trauma, or people with cerebral palsy, in people with death of dopaminergic neurons in the substantia nigra due to Parkinson’s disease, or in subjects with cerebellar dysfunctions, such as patients with ataxia. The role of cerebellum during locomotion has been shown to be related to coordination and adaptation of movements. Cerebellum is the structure of CNS where are conceivably located the internal models, that are neural representations miming meaningful aspects of our body, such as input/output characteristics of sensorimotor system. Internal model control has been shown to be at the basis of motor strategies for compensating delays or lacks in sensorimotor feedbacks, and some aspects of locomotion need predictive internal control, especially for improving gait dynamic stability, for avoiding obstacles or when sensory feedback is altered or lacking. Furthermore, despite internal model concepts are widespread in neuroscience and neurocognitive science, neurorehabilitation paid far too little attention to the potential role of internal model control on gait recovery. Many important scientists have contributed to this Research Topic with original studies, computational studies, and review articles focused on neural circuits and internal models involved in the control of human locomotion, aiming at understanding the role played in control of locomotion of different neural circuits located at brain, cerebellum, and spinal cord levels.