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Optic Flow and Beyond

Overview of attention for book
Cover of 'Optic Flow and Beyond'

Table of Contents

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    Book Overview
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    Chapter 1 Multiple Cortical Representations of Optic Flow Processing
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    Chapter 2 Optic Flow and Vestibular Self-Movement Cues: Multi-Sensory Interactions in Cortical Area MST
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    Chapter 3 A Visual Mechanism for Extraction of Heading Information in Complex Flow Fields
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    Chapter 4 Eye Movements and an Object-Based Model of Heading Perception
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    Chapter 5 Short-Latency Eye Movements: Evidence for Rapid, Parallel Processing of Optic Flow
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    Chapter 6 Functional Neuroanatomy of Heading Perception in Humans
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    Chapter 7 The Event Structure of Motion Perception
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    Chapter 8 Modeling Observer and Object Motion Perception
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    Chapter 9 Linking Perception and Neurophysiology for Motion Pattern Processing: The Computational Power of Inhibitory Connections in Cortex
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    Chapter 10 Circular Receptive Field Structures for Flow Analysis and Heading Detection
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    Chapter 11 Parametric Measurements of Optic Flow by Humans
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    Chapter 12 Fast Processing of Image Motion Patterns Arising from 3-D Translational Motion
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    Chapter 13 On the Computation of Image Motion and Heading in a 3-D Cluttered Scene
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    Chapter 14 From Optic Flow to Laws of Control
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    Chapter 15 Egocentric Direction and Locomotion
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    Chapter 16 The Utility of not Changing Direction and the Visual Guidance of Locomotion
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    Chapter 17 Gaze Behaviors During Adaptive Human Locomotion: Insights into How Vision is Used to Regulate Locomotion
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    Chapter 18 How Do We Control High Speed Steering?
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    Chapter 19 Model-Based Control of Perception/Action
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    Chapter 20 A Neural Model for Biological Movement Recognition: A Neurophysiologically Plausible Theory
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    Chapter 21 Controlling Bipedal Movement Using Optic Flow
Overall attention for this book and its chapters
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Mentioned by

1 tweeter
1 patent
1 Wikipedia page


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26 Mendeley
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Optic Flow and Beyond
Published by
Springer, Dordrecht, April 2004
DOI 10.1007/978-1-4020-2092-6
978-9-04-816589-6, 978-1-4020-2092-6

Lucia M. Vaina, Scott A. Beardsley, Simon K. Rushton

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 4%
United States 1 4%
Portugal 1 4%
Unknown 23 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 42%
Researcher 5 19%
Student > Doctoral Student 3 12%
Student > Master 2 8%
Professor 2 8%
Other 1 4%
Unknown 2 8%
Readers by discipline Count As %
Psychology 9 35%
Engineering 6 23%
Agricultural and Biological Sciences 4 15%
Neuroscience 2 8%
Sports and Recreations 1 4%
Other 1 4%
Unknown 3 12%