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Many recent developments in the field in recording, staining, genetic and stimulation techniques, in vivo, and in vitro have significantly increased the amount of available data on the primate visual system. Written with contributions from key neurobiologists in the field, The Primate Visual System will provide the reader with the latest developments, examining the structure, function and evolution of the primate visual system. The book takes a comparative approach as a basis for studying the physiological properties of primate vision and examines the phylogenetic relationship between the visual systems of different primate species. Taken from a neurobiologist’s perspective this book provides a unique approach to the study of primate vision as a basis for further study into the human visual system. Altogether an important overview of the structure, function and evolution of the primate visual system from a neurobiologist’s perspective, written specifically for higher level undergraduate and graduate students taking courses in neuroscience, physiology, optics/ visual science, as well as a valuable read to researchers new to the field.
The last 20 years of research have been marked by exceptional progress in understanding the organization and functions of the primate visual system. This understanding has been based on the wide application of traditional and newly emerging methods for identifying the functionally significant subdivisions of the system, their interconnections, the
This presentation of the foremost research and theory from disciplines that provide the foundations of neural network research--neurobiology, physics, computer science, electrical engineering, mathematics, and psychology--shows how neural networks and neurocomputing represent radical departures from conventional approaches to digital computers, in terms of algorithms and architecture.
"To explain all nature is too difficult a task for anyone man or even for anyone age. Tis much better to do a little with certainty, and leave the rest for others that come after you, than to explain all things ... " Sir Isaac Newton (1642-1727) This book describes and discusses some new aspects of col or vision in primates which have emerged from a series of experiments conducted over the past 8 years both on single ganglion cells in monkey retina and on the visually evoked cortical potential in man: corresponding psychophysical mechanisms of human perception will be considered as well. An attempt will be made to better understand the basic mechanisms of color vision using a more comprehensive approach which takes into account new mechanisms found in single cells and relates them to those found valid for the entire visual system. The processing of color signals was followed up from the retina to the visual cortex and to the percepq.tal centers, as far as the available techniques permitted.
Volume 10 is a direct continuation and extension of Volume 3 in this series, Visual Cortex. Given the impressive proliferation of papers on visual cortex over the intervening eight years, Volume 10 has specifically targeted visual cortex in primates and, even so, it has not been possible to survey all of the major or relevant developments in this area. Some research areas are experiencing rapid change and can best be treated more comprehensively in a subsequent volume; for example, elaboration of color vision; patterns and subdivisions of functional columns. One major goal of this volume has been to provide an overview of the intrinsic structural and functional aspects of area 17 itself. Considerable pro gress has been made since 1985 in unraveling the modular and laminar organi zation of area 17; and this aspect is directly addressed in the chapters by Peters, Lund et al., Wong-Riley, and Casagrande and Kaas. A recurring leitmotif here is the evidence for precise and exquisite order in the interlaminar and tangential connectivity of elements. At the same time, however, as detailed by Lund et al. and Casagrande and Kaas, the very richness of the connectivity implies a multi plicity of processing routes. This reinforces evidence that parallel pathways may not be strictly segregated. Further connectional complexity is contributed by the various sets of inhibitory neurons, as reviewed by Lund et al. and Jones et al.
'Vision and the Visual System' offers students, teachers and researchers a rigorous, yet accessible account of how the brain analyses the visual scene. Schiller and Tehovnik describe key aspects of visual perception such as colour, motion, pattern and depth while explaining the relationship between eye movements and neural structures in the brain.
A fundamental goal of sensory processing is predicting the future state of the environment. Visual prediction is difficult because the stream of images on the retina evolves according to irregular, curved trajectories. We posit that the visual system seeks to transform natural inputs such that neural representations follow straighter and more predictable trajectories. Previous work has provided psychophysical evidence for this hypothesis by showing that the human visual system selectively straightens the temporal trajectories of natural movies, thus facilitating their extrapolation. In this thesis, I investigate the neural basis of perceptual straightening. We hypothesize that perceptual straightening is achieved through a series of cascaded transformations and found supporting evidence from psychophysical and neurophysiological measurements. We estimated the curvature of internal trajectories from human perceptual judgements across distinct sub-regions of the visual field. Perceptual results suggest that computations that underlie object recognition overlap with those that straighten natural movies, thereby revealing deficits in both processes--crowding and absence of straightening in the periphery. We posit that straightening occurs at multiple stages in the ventral stream as it is linked to recognizing objects. Next, we investigated if straightening occurs as early as the primary visual cortex (V1). We developed a novel computational tool to infer trajectories from neural populations and found robust straightening in V1 recordings from anesthetized macaques. Next, we explored the computational basis of V1 results with an image-computable model. We built a model to describe well-known computations of V1 cells and tested the model with the same movie stimuli. Model-predictions reveal that these computations only partially engage the mechanisms for straightening, revealing the involvement of more complex visual mechanisms. To further test our hypothesis, we asked if additional straightening occurs across the V1-V2 cascade. We recorded populations in areas V1 and V2 from awake fixating monkeys. Consistent with our hypothesis, we find incremental straightening between V1 and V2 elicited by the same natural movies. Together, we find collective evidence of neural straightening as an emergent property that contributes to perceptual straightening in a progressive manner starting from the early stages of vision