BOOK
Biocybernetics Of Vision: Integrative Mechanisms And Cognitive Processes
(1998)
Additional Information
Book Details
Abstract
Visual cognition is an important area of biocybernetics. It ranges from the filtering processes of early vision to the structural and functional organization of the visual centres, as well as, in higher animals, to the neuronal plasticity, the decision-making rules, the effect of noise, the role of attention, the ambiguity of patterns, and the time dimension. All these factors contribute to the cognitive interpretation of visual sensation that takes place in visual perception. A side field is machine vision, in which the signal processing known from animal vision is applied to the mobile robots responding to light stimulation.
Table of Contents
| Section Title | Page | Action | Price |
|---|---|---|---|
| Title\r | iii | ||
| Copyright\r | iv | ||
| PREFACE | v | ||
| CONTENTS | vii | ||
| IN MEMORY OF E.R. CAIANIELLO\r | 1 | ||
| Eduardo R. Caianiello: In memoriam\r | 3 | ||
| Caianiello's equations and cognitive processes\r | 5 | ||
| INTEGRATIVE MECHANISMS OF VISION\r | 17 | ||
| Processing visual information in vertebrate retinae\r | 19 | ||
| Structural and functional organisation of the Cephalopod retina\r | 29 | ||
| The organisation of the gaze control in the blowfly Calliphora erythrocephala\r | 41 | ||
| Visual sensation of self-motions in the blowfly Calliphora\r | 53 | ||
| Information processing in the insect ocellar pathway\r | 71 | ||
| Basic mechanisms of oculomotor control\r | 82 | ||
| Filtering of the input image and visual perception of geometrical figures\r | 94 | ||
| Pigeon's binocular field: A behavioural estimation\r | 104 | ||
| Neural network model of Hydra photoresponsive behaviour\r | 108 | ||
| Local circuits underlying the function of the vertebrate inner retina\r | 112 | ||
| VISUAL PERCEPTION AND COGNITIVE PROCESSES\r | 117 | ||
| Visual field asymmetries and local anisotropies in pattern discrimination: a sign of cortical asymmetries\r | 119 | ||
| Neuronal response plasticity\r | 129 | ||
| Perceptual learning specificity\r | 139 | ||
| Interhemispheric transfer of visual information: A cross-talk between the two cerebral hemispheres\r | 149 | ||
| Parallel pathways: Anatomo-physiological and perceptual characteristics\r | 158 | ||
| A multi-scale network model of brightness perception\r | 166 | ||
| Decision processes in spatial vision: Detection rules\r | 176 | ||
| Recent results in emergent visual segmentation\r | 187 | ||
| Simple mechanisms in stereoscopic depth perception\r | 197 | ||
| Figural completion\r | 207 | ||
| Time as information in visual perception processing\r | 217 | ||
| Visual attention: Neural and cognitive bases\r | 224 | ||
| Visual neglect\r | 234 | ||
| Temporal aspects in visual perception and cognition\r | 239 | ||
| The possible roles of noise in the processing of visual signals\r | 251 | ||
| Bottom-up and top-down interactions in multistable ambiguous pattern perception\r | 263 | ||
| Toward a theory of visual abductive thinking\r | 271 | ||
| Hyperacuity: Vertical asymmetry for size discrimination of two-dimensional images\r | 281 | ||
| The temporal and spatial dynamics of the perception of quantified images\r | 285 | ||
| Characteristics of the cat LGB response oscillations dependent on the visual stimulus properties\r | 289 | ||
| Mathematical model of the depth effect in the translatory alternating movement. Part A: 3-D percpetion of length amplification\r | 293 | ||
| Mathematical model of the depth effect in the translatory alternating movement. Part B: \"swinging gate\" phenomenon\r | 297 | ||
| The depth effect in the streokinetic phenomenon of \"swinging gate\"\r | 301 | ||
| (FROM ANIMAL VISION TO) MACHINE VISION\r | 305 | ||
| View–based navigation and cognitive maps in man and machine | 307 | ||
| Active vision and representation\r | 317 | ||
| Visual emergence\r | 325 | ||
| Shape primitives from visual patterns\r | 331 | ||
| Combined optical neuroanatomical and electrophysiological studies on signal processing in the fly compound eye\r | 341 | ||
| From biocybemetics to bionics: On visually-guided navigation in animals and machines\r | 362 | ||
| The role of the background: non-local texture segmentation and figures ground process\r | 376 | ||
| Stochastic resonance in a bistable neural network\r | 380 | ||
| PARTICIPANTS\r | 385 | ||
| List of participants\r | 387 |