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Springer Series in Cognitive and Neural Systems #1: Perception-Action Cycle: Models, Architectures, and Hardware

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Springer Series in Cognitive and Neural Systems #1: Perception-Action Cycle: Models, Architectures, and Hardware Cover

 

Synopses & Reviews

Publisher Comments:

The perception-action cycle is the circular flow of information that takes place between the organism and its environment in the course of a sensory-guided sequence of behavior towards a goal. Each action causes changes in the environment that are analyzed bottom-up through the perceptual hierarchy and lead to the processing of further action, and top-down through the executive hierarchy toward motor effectors. These actions cause new changes that are analyzed and lead to new action, and so the cycle continues. The Perception-Action cycle: Models, Architectures and Hardware book provides focused and easily accessible reviews of various aspects of the perception-action cycle. It is an unparalleled resource of information that will be an invaluable companion to anyone in constructing and developing models, algorithms, and hardware implementations of autonomous machines empowered with cognitive capabilities. The book is divided into three main parts. In the first part, leading computational neuroscientists present brain-inspired models of perception, attention, cognitive control, decision making, conflict resolution and monitoring, knowledge representation and reasoning, learning and memory, planning and action, and consciousness grounded in experimental data. In the second part, architectures, algorithms, and systems with cognitive capabilities and minimal guidance from the brain are discussed. These architectures, algorithms, and systems are inspired by cognitive science, computer vision, robotics, information theory, machine learning, computer agents, and artificial intelligence. In the third part, the analysis, design, and implementation of hardware systems with robust cognitive abilities from the areas of mechatronics, sensing technology, sensor fusion, smart sensor networks, control rules, controllability, stability, model/knowledge representation, and reasoning are discussed. About the Editors: Vassilis Cutsuridis is a Senior Research Scientist

Synopsis:

The perception-action cycle has been described by the eminent neuroscientist JM Fuster as the circular flow of information that takes place between the organism and its environment in the course of a sensory-guided sequence of behaviour towards a goal. Each action in the sequence causes certain changes in the environment that are analyzed bottom-up through the perceptual hierarchy and lead to the processing of further action, top-down through the executive hierarchy, toward motor effectors. These cause new changes that are analyzed and lead to new action, and so on and so forth. This book will provide a snapshot and a résumé of the current state-of-the-art of the ongoing research avenues concerning the perception-reason-action cycle. The central aims of the volume are to provide an informational resource and a methodology for anyone interested in constructing and developing models, algorithms and systems of autonomous machines empowered with cognitive capabilities.  

Table of Contents

Preface Contents Contributors Part I. Computational neuroscience models Chapter 1. The Role of Attention in Shaping Visual Perceptual Processes John Tsotsos, Albert L. Rothenstein Chapter 2. Sensory fusion Mauro Ursino, Elisa Magosso, Cristiano Cuppini, Chapter 3. Modeling learning and memory consistently from psychology to physiology Author - Andrew Coward Chapter 4. Value maps, drives and emotions Daniel Levine Chapter 5. Computational neuroscience models: Error monitoring, conflict resolution and decision making Joshua Brown, William H. Alexander Chapter 6. Neural Network Models for Reaching and Dexterous Manipulation in Humans and Anthropomorphic Robotic Systems.

Product Details

ISBN:
9781441914514
Author:
Cutsuridis, Vassilis
Publisher:
Springer
Editor:
Hussain, Amir
Editor:
Taylor, John G.
Author:
Hussain, Amir
Author:
Taylor, John G.
Subject:
Neuroscience
Subject:
Computer Science
Subject:
Neurosciences
Subject:
Computation by Abstract Devices
Subject:
Neurobiology
Subject:
Signal, Image and Speech Processing
Subject:
Health and Medicine-Medical Specialties
Copyright:
Edition Description:
2011
Series:
Springer Series in Cognitive and Neural Systems
Series Volume:
1
Publication Date:
20110201
Binding:
HARDCOVER
Language:
English
Pages:
798
Dimensions:
235 x 155 mm

Related Subjects

Computers and Internet » Computers Reference » General
Computers and Internet » Personal Computers » General
Health and Self-Help » Health and Medicine » Medical Specialties
Science and Mathematics » Biology » Biophysics
Science and Mathematics » Electricity » General Electronics
Science and Mathematics » Physics

Springer Series in Cognitive and Neural Systems #1: Perception-Action Cycle: Models, Architectures, and Hardware New Hardcover
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Product details 798 pages Springer - English 9781441914514 Reviews:
"Synopsis" by , The perception-action cycle has been described by the eminent neuroscientist JM Fuster as the circular flow of information that takes place between the organism and its environment in the course of a sensory-guided sequence of behaviour towards a goal. Each action in the sequence causes certain changes in the environment that are analyzed bottom-up through the perceptual hierarchy and lead to the processing of further action, top-down through the executive hierarchy, toward motor effectors. These cause new changes that are analyzed and lead to new action, and so on and so forth. This book will provide a snapshot and a résumé of the current state-of-the-art of the ongoing research avenues concerning the perception-reason-action cycle. The central aims of the volume are to provide an informational resource and a methodology for anyone interested in constructing and developing models, algorithms and systems of autonomous machines empowered with cognitive capabilities.  
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