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Some task and signal dependent rules for spatial vision

Some task and signal dependent rules for spatial vision Some task and signal dependent rules for spatial vision TERRY CAELLI1 and M. NAMIK OGUZTORELI2 Departments of Psychology1 and Mathematics2, The University of Alberta, Edmonton, AB, T6G 2E9, Canada, and Institute for Medical Psychology, University of Munich, Munich, FRG Received 7 April 1986; revised and accepted 11 August 1987 Abstract � In this paper we consider the types of computational processes which may be involved in solving a variety of perceptual problems from the detection of signals in the presence of others, to texture discrimination, and some aspects of pattern recognition. These processes centre around the involvement of correlational computations, the transduction of their input/output values, and the apparent involvement of selective filtering mechanisms. Our results suggest that even if fixed detectors (in tuning characteristics) are involved in low-level vision, the human observer apparently employs much more adaptive (variable tuning characteristic) filters and nonlinear mechanisms in more complex spatial tasks. INTRODUCTION One of the more central problems for spatial vision research is that of determining the ways in which the input signals are 'coded' along the visual pathways and how such codes are utilized to solve specific perceptual problems. Whether it be with the study of the responses http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Spatial Vision (continued as Seeing & Perceiving from 2010) Brill

Some task and signal dependent rules for spatial vision

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Publisher
Brill
Copyright
© 1987 Koninklijke Brill NV, Leiden, The Netherlands
ISSN
0169-1015
eISSN
1568-5683
DOI
10.1163/156856887X00231
Publisher site
See Article on Publisher Site

Abstract

Some task and signal dependent rules for spatial vision TERRY CAELLI1 and M. NAMIK OGUZTORELI2 Departments of Psychology1 and Mathematics2, The University of Alberta, Edmonton, AB, T6G 2E9, Canada, and Institute for Medical Psychology, University of Munich, Munich, FRG Received 7 April 1986; revised and accepted 11 August 1987 Abstract � In this paper we consider the types of computational processes which may be involved in solving a variety of perceptual problems from the detection of signals in the presence of others, to texture discrimination, and some aspects of pattern recognition. These processes centre around the involvement of correlational computations, the transduction of their input/output values, and the apparent involvement of selective filtering mechanisms. Our results suggest that even if fixed detectors (in tuning characteristics) are involved in low-level vision, the human observer apparently employs much more adaptive (variable tuning characteristic) filters and nonlinear mechanisms in more complex spatial tasks. INTRODUCTION One of the more central problems for spatial vision research is that of determining the ways in which the input signals are 'coded' along the visual pathways and how such codes are utilized to solve specific perceptual problems. Whether it be with the study of the responses

Journal

Spatial Vision (continued as Seeing & Perceiving from 2010)Brill

Published: Jan 1, 1987

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