The Resource Dynamic Neural Field Theory for Motion Perception, by Martin A. Giese, (electronic resource)

Dynamic Neural Field Theory for Motion Perception, by Martin A. Giese, (electronic resource)

Label
Dynamic Neural Field Theory for Motion Perception
Title
Dynamic Neural Field Theory for Motion Perception
Statement of responsibility
by Martin A. Giese
Creator
Subject
Genre
Language
eng
Summary
Dynamic Neural Field Theory for Motion Perception provides a new theoretical framework that permits a systematic analysis of the dynamic properties of motion perception. This framework uses dynamic neural fields as a key mathematical concept. The author demonstrates how neural fields can be applied for the analysis of perceptual phenomena and its underlying neural processes. Also, similar principles form a basis for the design of computer vision systems as well as the design of artificially behaving systems. The book discusses in detail the application of this theoretical approach to motion perception and will be of great interest to researchers in vision science, psychophysics, and biological visual systems
Member of
Cataloging source
AU@
http://library.link/vocab/creatorName
Giese, Martin A
Dewey number
621
Index
no index present
LC call number
QC174.7-175.36
Literary form
non fiction
Nature of contents
dictionaries
Series statement
The Springer International Series in Engineering and Computer Science,
Series volume
469
http://library.link/vocab/subjectName
  • Physics
  • Neurosciences
  • Computer vision
  • Psychology, clinical
  • Clinical psychology
  • Computer vision
  • Neurosciences
  • Physics
Label
Dynamic Neural Field Theory for Motion Perception, by Martin A. Giese, (electronic resource)
Link
http://dx.doi.org/10.1007/978-1-4615-5581-0
Instantiates
Publication
Antecedent source
file reproduced from original
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
mixed
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
1 Introduction -- I Basic Concepts -- 2 Visual perception of motion -- 3 Basic principles of the dynamic approach -- 4 Dynamic neural fields -- II Model for Motion Perception -- 5 Dynamic neural field model for motion perception -- 6 Necessity of the concepts: Model for the motion quartet -- 7 Sufficiency of the concepts: Field model for 2D-motion perception -- 8 Relationships: neural fields and computational algorithms -- 9 Identification of field models from neurophysiological data -- III Other Applications of Neural Fields -- 10 Neural field model for the motor planning of eye movements -- 11 Technical applications of neural fields -- 12 Discussion -- Appendices -- A Appendix of chapter 3 -- A.1 Relationship: Eye-Position and Relative Phase Dynamics -- B Appendix of chapter 6 -- B.1 Geometry Dependence of Feed-Forward Input -- B.2 Stochastic Bistable Dynamics -- B.3 Parameters of the Model for the Motion Quartet -- C Appendix of chapter 7 -- C.1 Properties of the Interaction Function -- C.2 One-Dimensional Neural Field Model for Motion Direction -- C.3 Parameters of the Neural Field Model -- D Appendix of chapter 8 -- D.1 Proof of Theorem 4 -- D.2 Proof of Lemma 1 -- D.3 Proof of Theorem 5 -- E Appendix of chapter 9 -- E.2 Least Squares Estimation of Kernel Functions -- E.3 Equivalent Feed-Forward System for a Linear Threshold -- F Appendix of chapter 11 -- F. 1 Transformation between Robot and World Coordinates -- F.2 Transformations between the Perceptive Spaces -- F.3 Learning of the Parameters of the Approximation Dynamics -- List of Symbols
Dimensions
unknown
Extent
1 online resource (xix, 257 pages).
File format
unknown
Form of item
online
Isbn
9781461555810
Isbn Type
(electronic bk.)
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
10.1007/978-1-4615-5581-0
Quality assurance targets
unknown
Reformatting quality
access
Sound
unknown sound
Specific material designation
remote
System control number
  • (OCoLC)851741970
  • (OCoLC)ocn851741970
Label
Dynamic Neural Field Theory for Motion Perception, by Martin A. Giese, (electronic resource)
Link
http://dx.doi.org/10.1007/978-1-4615-5581-0
Publication
Antecedent source
file reproduced from original
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
mixed
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
1 Introduction -- I Basic Concepts -- 2 Visual perception of motion -- 3 Basic principles of the dynamic approach -- 4 Dynamic neural fields -- II Model for Motion Perception -- 5 Dynamic neural field model for motion perception -- 6 Necessity of the concepts: Model for the motion quartet -- 7 Sufficiency of the concepts: Field model for 2D-motion perception -- 8 Relationships: neural fields and computational algorithms -- 9 Identification of field models from neurophysiological data -- III Other Applications of Neural Fields -- 10 Neural field model for the motor planning of eye movements -- 11 Technical applications of neural fields -- 12 Discussion -- Appendices -- A Appendix of chapter 3 -- A.1 Relationship: Eye-Position and Relative Phase Dynamics -- B Appendix of chapter 6 -- B.1 Geometry Dependence of Feed-Forward Input -- B.2 Stochastic Bistable Dynamics -- B.3 Parameters of the Model for the Motion Quartet -- C Appendix of chapter 7 -- C.1 Properties of the Interaction Function -- C.2 One-Dimensional Neural Field Model for Motion Direction -- C.3 Parameters of the Neural Field Model -- D Appendix of chapter 8 -- D.1 Proof of Theorem 4 -- D.2 Proof of Lemma 1 -- D.3 Proof of Theorem 5 -- E Appendix of chapter 9 -- E.2 Least Squares Estimation of Kernel Functions -- E.3 Equivalent Feed-Forward System for a Linear Threshold -- F Appendix of chapter 11 -- F. 1 Transformation between Robot and World Coordinates -- F.2 Transformations between the Perceptive Spaces -- F.3 Learning of the Parameters of the Approximation Dynamics -- List of Symbols
Dimensions
unknown
Extent
1 online resource (xix, 257 pages).
File format
unknown
Form of item
online
Isbn
9781461555810
Isbn Type
(electronic bk.)
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
10.1007/978-1-4615-5581-0
Quality assurance targets
unknown
Reformatting quality
access
Sound
unknown sound
Specific material designation
remote
System control number
  • (OCoLC)851741970
  • (OCoLC)ocn851741970

Library Locations

  • Architecture LibraryBorrow it
    Gould Hall 830 Van Vleet Oval Rm. 105, Norman, OK, 73019, US
    35.205706 -97.445050
  • Bizzell Memorial LibraryBorrow it
    401 W. Brooks St., Norman, OK, 73019, US
    35.207487 -97.447906
  • Boorstin CollectionBorrow it
    401 W. Brooks St., Norman, OK, 73019, US
    35.207487 -97.447906
  • Chinese Literature Translation ArchiveBorrow it
    401 W. Brooks St., RM 414, Norman, OK, 73019, US
    35.207487 -97.447906
  • Engineering LibraryBorrow it
    Felgar Hall 865 Asp Avenue, Rm. 222, Norman, OK, 73019, US
    35.205706 -97.445050
  • Fine Arts LibraryBorrow it
    Catlett Music Center 500 West Boyd Street, Rm. 20, Norman, OK, 73019, US
    35.210371 -97.448244
  • Harry W. Bass Business History CollectionBorrow it
    401 W. Brooks St., Rm. 521NW, Norman, OK, 73019, US
    35.207487 -97.447906
  • History of Science CollectionsBorrow it
    401 W. Brooks St., Rm. 521NW, Norman, OK, 73019, US
    35.207487 -97.447906
  • John and Mary Nichols Rare Books and Special CollectionsBorrow it
    401 W. Brooks St., Rm. 509NW, Norman, OK, 73019, US
    35.207487 -97.447906
  • Library Service CenterBorrow it
    2601 Technology Place, Norman, OK, 73019, US
    35.185561 -97.398361
  • Price College Digital LibraryBorrow it
    Adams Hall 102 307 West Brooks St., Norman, OK, 73019, US
    35.210371 -97.448244
  • Western History CollectionsBorrow it
    Monnet Hall 630 Parrington Oval, Rm. 300, Norman, OK, 73019, US
    35.209584 -97.445414
Processing Feedback ...