dynamic neural field theory for motion perception the springer international series in engineering and computer science

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Dynamic Neural Field Theory For Motion Perception

Author : Martin A. Giese
ISBN : 9781461555810
Genre : Science
File Size : 74. 3 MB
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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.

Hierarchical Neural Networks For Image Interpretation

Author : Sven Behnke
ISBN : 9783540451693
Genre : Computers
File Size : 36. 18 MB
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Human performance in visual perception by far exceeds the performance of contemporary computer vision systems. While humans are able to perceive their environment almost instantly and reliably under a wide range of conditions, computer vision systems work well only under controlled conditions in limited domains. This book sets out to reproduce the robustness and speed of human perception by proposing a hierarchical neural network architecture for iterative image interpretation. The proposed architecture can be trained using unsupervised and supervised learning techniques. Applications of the proposed architecture are illustrated using small networks. Furthermore, several larger networks were trained to perform various nontrivial computer vision tasks.

American Book Publishing Record

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ISBN : STANFORD:36105117254974
Genre : Books
File Size : 65. 80 MB
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Elements Of Neurogeometry

Author : Jean Petitot
ISBN : 9783319655918
Genre : Mathematics
File Size : 70. 20 MB
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This book describes several mathematical models of the primary visual cortex, referring them to a vast ensemble of experimental data and putting forward an original geometrical model for its functional architecture, that is, the highly specific organization of its neural connections. The book spells out the geometrical algorithms implemented by this functional architecture, or put another way, the “neurogeometry” immanent in visual perception. Focusing on the neural origins of our spatial representations, it demonstrates three things: firstly, the way the visual neurons filter the optical signal is closely related to a wavelet analysis; secondly, the contact structure of the 1-jets of the curves in the plane (the retinal plane here) is implemented by the cortical functional architecture; and lastly, the visual algorithms for integrating contours from what may be rather incomplete sensory data can be modelled by the sub-Riemannian geometry associated with this contact structure. As such, it provides readers with the first systematic interpretation of a number of important neurophysiological observations in a well-defined mathematical framework. The book’s neuromathematical exploration appeals to graduate students and researchers in integrative-functional-cognitive neuroscience with a good mathematical background, as well as those in applied mathematics with an interest in neurophysiology.

Biologically Inspired Robot Behavior Engineering

Author : Richard J. Duro
ISBN : 3790815136
Genre : Computers
File Size : 36. 9 MB
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The book presents an overview of current research on biologically inspired autonomous robotics from the perspective of some of the most relevant researchers in this area. The book crosses several boundaries in the field of robotics and the closely related field of artificial life. The key aim throughout the book is to obtain autonomy at different levels. From the basic motor behavior in some exotic robot architectures right through to the planning of complex behaviors or the evolution of robot control structures, the book explores different degrees and definitions of autonomous behavior. These behaviors are supported by a wide variety of modeling techniques: structural grammars, neural networks, and fuzzy logic and evolution underlies many of the development processes. Thus this text can be used by scientists and students interested in these areas and provides a general view of the field for a more general audience.

Cumulative Book Index

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ISBN : PSU:000045663147
Genre : American literature
File Size : 40. 23 MB
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Probabilistic Reasoning And Decision Making In Sensory Motor Systems

Author : Pierre Bessière
ISBN : 9783540790068
Genre : Technology & Engineering
File Size : 35. 72 MB
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Probabilistic Reasoning and Decision Making in Sensory-Motor Systems by Pierre Bessiere, Christian Laugier and Roland Siegwart provides a unique collection of a sizable segment of the cognitive systems research community in Europe. It reports on contributions from leading academic institutions brought together within the European projects Bayesian Inspired Brain and Artifact (BIBA) and Bayesian Approach to Cognitive Systems (BACS). This fourteen-chapter volume covers important research along two main lines: new probabilistic models and algorithms for perception and action, new probabilistic methodology and techniques for artefact conception and development. The work addresses key issues concerned with Bayesian programming, navigation, filtering, modelling and mapping, with applications in a number of different contexts.

Subject Guide To Books In Print

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ISBN : STANFORD:36105025888517
Genre : American literature
File Size : 57. 97 MB
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Neural Information Processing

Author : Masumi Ishikawa
ISBN : 9783540691549
Genre : Computers
File Size : 34. 61 MB
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The two volume set LNCS 4984 and LNCS 4985 constitutes the thoroughly refereed post-conference proceedings of the 14th International Conference on Neural Information Processing, ICONIP 2007, held in Kitakyushu, Japan, in November 2007, jointly with BRAINIT 2007, the 4th International Conference on Brain-Inspired Information Technology. The 228 revised full papers presented were carefully reviewed and selected from numerous ordinary paper submissions and 15 special organized sessions. The 116 papers of the first volume are organized in topical sections on computational neuroscience, learning and memory, neural network models, supervised/unsupervised/reinforcement learning, statistical learning algorithms, optimization algorithms, novel algorithms, as well as motor control and vision. The second volume contains 112 contributions related to statistical and pattern recognition algorithms, neuromorphic hardware and implementations, robotics, data mining and knowledge discovery, real world applications, cognitive and hybrid intelligent systems, bioinformatics, neuroinformatics, brain-conputer interfaces, and novel approaches.

Artificial And Biological Vision Systems

Author : Guy A. Orban
ISBN : UOM:39015029293944
Genre : Computers
File Size : 81. 61 MB
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This volume is a collection of reports on work in computerand biological vision. The work is supported by the ESPRITBasic Research project INSIGHT, in which aninterdisciplinary group of scientists are integratingtechniques and results from computer science, mathematics,neuroscience, and psychophysics into a coherent frameworkto study general purpose vision systems.The methods reported in the volume range from anatomical andphysiological studies to psychophysical, algorithmic,mathematical, and simulation techniques. Particular topicsdiscussed include optic flow, texture, 3D surfaces, cueconvergence, segmentation, corner detection, and multiscalerepresentations.The main feature of the book is its interdisciplinarynature. It includes an approximately equal number ofcontributions from biological and computer sciences, wherebiology istaken to include neuroscience, psychophysics, andperceptual studies.

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