Information-Processing Channels in the Tactile Sensory System


Book Description

Information-Processing Channels in the Tactile Sensory System addresses the fundamental question of whether sensory channels, similar to those known to operate in vision and audition, also operate in the sense of touch. Based on the results of psychophysical and neurophysiological experimentation the authors make a powerful case that channels operate in the processing of mechanical stimulation of the highly sensitive glabrous skin of the hand. According to the multichannel model presented in this monograph, each channel, with its specific type of mechanoreceptor and afferent nerve fiber, responds optiimally to particular aspects of the tactile stimulus. It is further proposed that the tactile perception of objects results from the combined activity of the individual tactile channels. This work is important because it provides researchers and students in the field of sensory neuroscience with a comprehensive model that enhances our understanding of tactile perception.




Data Fusion for Sensory Information Processing Systems


Book Description

The science associated with the development of artificial sen sory systems is occupied primarily with determining how information about the world can be extracted from sensory data. For example, computational vision is, for the most part, concerned with the de velopment of algorithms for distilling information about the world and recognition of various objects in the environ (e. g. localization ment) from visual images (e. g. photographs or video frames). There are often a multitude of ways in which a specific piece of informa tion about the world can be obtained from sensory data. A subarea of research into sensory systems has arisen which is concerned with methods for combining these various information sources. This field is known as data fusion, or sensor fusion. The literature on data fusion is extensive, indicating the intense interest in this topic, but is quite chaotic. There are no accepted approaches, save for a few special cases, and many of the best methods are ad hoc. This book represents our attempt at providing a mathematical foundation upon which data fusion algorithms can be constructed and analyzed. The methodology that we present in this text is mo tivated by a strong belief in the importance of constraints in sensory information processing systems. In our view, data fusion is best un derstood as the embedding of multiple constraints on the solution to a sensory information processing problem into the solution pro cess.