Read e-book online The Visual Neurosciences. Volumes 1,2 PDF

By Leo M. Chalupa, John S. Werner

ISBN-10: 0262033089

ISBN-13: 9780262033084

Visible technology is the version process for neuroscience, its findings proper to all different parts. this large selection of papers via prime researchers within the box turns into a vital reference for researchers and scholars in visible neuroscience, and should be of value to researchers and pros in different disciplines, together with molecular and mobile biology, cognitive technological know-how, ophthalmology, psychology, computing device technological know-how, optometry, and schooling. Over a hundred chapters hide the complete box of visible neuroscience, from its historic foundations to the newest examine and findings in molecular mechanisms and community modeling. The booklet is equipped via topic--different sections conceal such matters because the heritage of imaginative and prescient technological know-how; developmental techniques; retinal mechanisms and strategies; association of visible pathways; subcortical processing; processing within the basic visible cortex; detection and sampling; brightness and colour; shape, shape,and item acceptance; movement, intensity, and spatial relationships; eye pursuits; consciousness and cognition; and theoretical and computational views. The record of individuals contains prime overseas researchers in visible technological know-how.

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Newsome’s group does recognize the problem of correlations between responses of MT neurons, but this measure does not seem to differentiate between correlations due to the signal being shared and correlations due to the noise being shared, yet these have very different implications. If correspondence noise is the major natural problem in detecting and analyzing motion signals, one is unlikely to understand how the visual analysis of motion is organized without taking it into account. It is also a pity not to exploit the possibility of estimating SNRs on the stimulus as well as on the responses, for this enables one to follow the losses of efficiency directly.

One can grasp in outline how a hierarchy of neurons, each capable of both selectivity and generalization, might trace a path through the jungle of possibilities resulting from the combinatorial explosion, culminating in a neuron with the properties of a reasonable object detector. I don’t, however, think this has yet been demonstrated in detail in any specific instance as complex and arbitrary as a grandmother cell—if indeed neurons with this degree of selectivity and arbitrariness exist. The discovery of these unexpected attributes of brain cells obviously took one a step forward, and a sizable fraction of the rest of this book includes later results of singleunit recording in the visual system.

Choice probability is a measure of the way the monkey’s behavioral responses covary with the neural responses of a recorded neuron, and it is related to the area under the receiver operating characteristic (ROC) curve in signal detection theory. It represents the probability of determining the behavioral response correctly from an optimal analysis of a particular single unit’s responses. 5. 5, though not by very much. A few neurons seem to have had considerably higher values, but they imply that these were untrustworthy chance results.

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The Visual Neurosciences. Volumes 1,2 by Leo M. Chalupa, John S. Werner


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