Visual Pattern Analyzers
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Visual Pattern Analyzers

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Description

This book looks at lower level visual processing, emphasizing psychophysical experiments which measure the detection and identification of near-threshold patterns and the mathematical models used to draw inferences from experimental results. Neurophysiological and psychophysical evidence is compared and contrasted, while introductory material on psychophysical methods, signal detection theory, and the mathematics of Fourier analysis ensure that the title is accessible to anyone interested in this field. Also included are lists of studies about analysers and parametric sensitivity on various pattern-vision dimensions.show more

Product details

  • Hardback | 662 pages
  • 162.6 x 243.1 x 37.6mm | 1,204.3g
  • Oxford University Press Inc
  • New York, United States
  • English
  • numerous line drawings
  • 0195051548
  • 9780195051544

Review quote

The final chapter gives a comprehensive breakdown and listing of hundreds of parametric studies on visual analysers, and it is followed by an Appendix listing the 92 assumptions made throughout the book. Such rigour is one of the book's major attractions. * Nicholas J. Wade, University of Dundee, British Journal of Psychology, Volume 81 Part 4, November 1990 * provides another signal service by compiling and reviewing an enormous amount of the relevant psychophysical literature from scores of laboratories * Karen K. De Valois, University of California at Berkeley, Trends in Neurosciences, December 1990, Vol.13, No.12 *show more

Back cover copy

This book deals with many of the parts into which visual information is initially analyzed. Presumably, these are the parts that make economic and feasible the subsequent computation of 'what is where.'show more

Table of contents

PART I: Introduction; Neurophysiology and psychophysics; Some mathematics: PART II: Adaption; Models of selective effects: PART III: Summation; Models for far-apart values; Far-apart values on spatial dimensions; Close values on spatial dimensions; PART IV: Uncertainty; Extrinsic uncertainty and summation revisited; Intrinsic uncertainty and transducer functions; PART V: Identification; Discrimination; Three more paradigms and transducer functions; PART VI: Multiple dimensions; Some general considerations; Results of analyser-revealing experiments; Results of parametric experiments; PART VII: Epilogue; The assumptions revisited.show more

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