Hierarchy And Dynamics In Neural Networks
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Hierarchy And Dynamics In Neural Networks
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Author : Rolf Kötter
language : en
Publisher: Frontiers E-books
Release Date : 2012-01-01
Hierarchy And Dynamics In Neural Networks written by Rolf Kötter and has been published by Frontiers E-books this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-01-01 with categories.
Hierarchy is a central feature in the organisation of complex biological systems and particularly the structure and function of neural networks. While other aspects of brain connectivity such as regionalisation, modularity or motif composition have been discussed elsewhere, no detailed analysis has been presented so far on the role of hierarchy and its connection to brain dynamics. Recent discussions among many of our colleagues have shown an increasing interest in hierarchy (of spatial, temporal and dynamic features), and this is an emerging key question in neuroscience as well as generally in the field of network science, due to its links with concepts of control, efficiency and development across scales (e.g. Hilgetag et al. Science, 1996; Ravasz et al. Science, 2002; Bassett et al. PNAS, 2006; Mueller-Linow et al. PLoS Comp. Biol., in press). The proposed Research Topic will address recent findings from a theoretical as well as experimental perspective including contributions under the following four headings: 1) Topology: Detecting and characterizing network hierarchy; 2) Experiments: Neural dynamics across hierarchical scales; 3) Dynamics: Activity spread, oscillations, and synchronization in hierarchical networks; 4) Dynamics: Stable functioning and information processing in hierarchical networks.
Hierarchical Neural Networks For Image Interpretation
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Author : Sven Behnke
language : en
Publisher: Springer Science & Business Media
Release Date : 2003-08-21
Hierarchical Neural Networks For Image Interpretation written by Sven Behnke and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-08-21 with Computers categories.
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.
Biological Neural Networks Hierarchical Concept Of Brain Function
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Author : Konstantin V. Baev
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Biological Neural Networks Hierarchical Concept Of Brain Function written by Konstantin V. Baev and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Science categories.
This book is devoted to a novel conceptual theoretical framework of neuro science and is an attempt to show that we can postulate a very small number of assumptions and utilize their heuristics to explain a very large spectrum of brain phenomena. The major assumption made in this book is that inborn and acquired neural automatisms are generated according to the same func tional principles. Accordingly, the principles that have been revealed experi mentally to govern inborn motor automatisms, such as locomotion and scratching, are used to elucidate the nature of acquired or learned automat isms. This approach allowed me to apply the language of control theory to describe functions of biological neural networks. You, the reader, can judge the logic of the conclusions regarding brain phenomena that the book derives from these assumptions. If you find the argument flawless, one can call it common sense and consider that to be the best praise for a chain of logical conclusions. For the sake of clarity, I have attempted to make this monograph as readable as possible. Special attention has been given to describing some of the concepts of optimal control theory in such a way that it will be under standable to a biologist or physician. I have also included plenty of illustra tive examples and references designed to demonstrate the appropriateness and applicability of these conceptual theoretical notions for the neurosciences.
A Chaotic Hierarchy
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Author : Gerold Baier
language : en
Publisher: World Scientific
Release Date : 1991-03-29
A Chaotic Hierarchy written by Gerold Baier and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991-03-29 with categories.
This collection of articles introduces the idea of a hierarchical order in chaotic systems and natural phenomena. To understand nature, nonlinear sciences use a multidisciplinary perspective. Therefore the book integrates research work of different fields: experimental evidence for the theory drawn from physics, biology and chemistry; theoretical progress in mathematical treatment, numerical techniques and graphical methods of nonlinear sciences; and to not-yet-understood philosophical and fundamental problems related to chaos and cosmos, chaos and quantum mechanics or evolutionary dynamics. Featuring the most recent advances in nonlinear dynamics this collection should provide an indispensable reference source and starting point for further research concerning dynamical and hierarchical chaotic systems. Besides this book is in honor of Professor O E Rössler, one of the pioneers of Chaos Theory, who celebrated his 50th birthday in May 1990.
Computational And Robotic Models Of The Hierarchical Organization Of Behavior
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Author : Gianluca Baldassarre
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-11-19
Computational And Robotic Models Of The Hierarchical Organization Of Behavior written by Gianluca Baldassarre and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-11-19 with Computers categories.
Current robots and other artificial systems are typically able to accomplish only one single task. Overcoming this limitation requires the development of control architectures and learning algorithms that can support the acquisition and deployment of several different skills, which in turn seems to require a modular and hierarchical organization. In this way, different modules can acquire different skills without catastrophic interference, and higher-level components of the system can solve complex tasks by exploiting the skills encapsulated in the lower-level modules. While machine learning and robotics recognize the fundamental importance of the hierarchical organization of behavior for building robots that scale up to solve complex tasks, research in psychology and neuroscience shows increasing evidence that modularity and hierarchy are pivotal organization principles of behavior and of the brain. They might even lead to the cumulative acquisition of an ever-increasing number of skills, which seems to be a characteristic of mammals, and humans in particular. This book is a comprehensive overview of the state of the art on the modeling of the hierarchical organization of behavior in animals, and on its exploitation in robot controllers. The book perspective is highly interdisciplinary, featuring models belonging to all relevant areas, including machine learning, robotics, neural networks, and computational modeling in psychology and neuroscience. The book chapters review the authors' most recent contributions to the investigation of hierarchical behavior, and highlight the open questions and most promising research directions. As the contributing authors are among the pioneers carrying out fundamental work on this topic, the book covers the most important and topical issues in the field from a computationally informed, theoretically oriented perspective. The book will be of benefit to academic and industrial researchers and graduate students in related disciplines.
Springer Handbook Of Computational Intelligence
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Author : Janusz Kacprzyk
language : en
Publisher: Springer
Release Date : 2015-05-28
Springer Handbook Of Computational Intelligence written by Janusz Kacprzyk and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-05-28 with Technology & Engineering categories.
The Springer Handbook for Computational Intelligence is the first book covering the basics, the state-of-the-art and important applications of the dynamic and rapidly expanding discipline of computational intelligence. This comprehensive handbook makes readers familiar with a broad spectrum of approaches to solve various problems in science and technology. Possible approaches include, for example, those being inspired by biology, living organisms and animate systems. Content is organized in seven parts: foundations; fuzzy logic; rough sets; evolutionary computation; neural networks; swarm intelligence and hybrid computational intelligence systems. Each Part is supervised by its own Part Editor(s) so that high-quality content as well as completeness are assured.
Artificial Neural Networks As Models Of Neural Information Processing
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Author : Marcel van Gerven
language : en
Publisher: Frontiers Media SA
Release Date : 2018-02-01
Artificial Neural Networks As Models Of Neural Information Processing written by Marcel van Gerven and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-01 with categories.
Modern neural networks gave rise to major breakthroughs in several research areas. In neuroscience, we are witnessing a reappraisal of neural network theory and its relevance for understanding information processing in biological systems. The research presented in this book provides various perspectives on the use of artificial neural networks as models of neural information processing. We consider the biological plausibility of neural networks, performance improvements, spiking neural networks and the use of neural networks for understanding brain function.
Hierarchical Emergent Ontology And The Universal Principle Of Emergence
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Author : Vladimír Havlík
language : en
Publisher: Springer Nature
Release Date : 2022-04-12
Hierarchical Emergent Ontology And The Universal Principle Of Emergence written by Vladimír Havlík and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-04-12 with Science categories.
This book offers a new look at emergence in terms of a hierarchical emergent ontology. Emergence is recognised as a universal principle, as universal as the principle of evolution. This is achieved by setting out the ontological criteria of emergence and such criteria’s various roles. The traditional dichotomies are overcome, e.g., the synchronic and diachronic perspectives are unified, allowing a single, universal principle of emergence to be applied across various fields of science. As exemplars of its practical utility in both explanation and prediction, this new approach is applied to three different scientific areas: cellular automata, quantum Hall effects, and the neural network of the mind. It proves that the resulting metaphysics of hierarchical emergent ontology plays a fundamental role in unifying science, an impossible task under classical reductionism.
The Biosocial Architectures Of Human Hierarchy
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Author : Pasquale De Marco
language : en
Publisher: Pasquale De Marco
Release Date :
The Biosocial Architectures Of Human Hierarchy written by Pasquale De Marco and has been published by Pasquale De Marco this book supported file pdf, txt, epub, kindle and other format this book has been release on with Social Science categories.
In a world governed by intricate social dynamics, the interplay of dominance and deference shapes human interactions, leaving an indelible mark on history, culture, and behavior. Yet, the underlying mechanisms that orchestrate these phenomena remain enigmatic. This book offers a groundbreaking exploration into the biosocial architectures of human hierarchy, delving into the intricate connections among biology, language, culture, and socialization. Drawing upon diverse disciplines, it unravels the complex interplay of factors that govern dominance and submission, shedding new light on the foundations of human social behavior. Within these pages, readers will embark on a journey to understand the evolutionary roots of dominance and deference, examining their manifestations in primate societies and the profound implications for human social behavior. The neurobiological underpinnings of power dynamics are explored, revealing the intricate neural mechanisms that mediate dominance and submission. The profound influence of culture on dominance beliefs and behaviors is also examined, highlighting the role of cultural norms, values, and linguistic expressions in shaping social hierarchies. Furthermore, the book investigates the socialization processes that perpetuate dominance structures, examining the role of family, peers, educational institutions, and other social agents in shaping individuals' attitudes and behaviors towards dominance and submission. The consequences of dominance and submission for individuals and society are also explored, shedding light on the impact of power dynamics on health, well-being, social order, and conflict. Through a comprehensive analysis of these interconnected factors, this book provides a deeper understanding of the biosocial foundations of human hierarchy. It challenges traditional notions of dominance and deference, revealing their intricate interplay and the profound implications for individuals and societies. By unraveling the mechanisms that govern these phenomena, readers gain valuable insights into the complexities of human social behavior and the potential for transformative change. This book is an essential read for anyone seeking to understand the intricate dynamics of dominance and deference in human societies. Its interdisciplinary approach and comprehensive analysis offer a unique perspective on the biosocial factors that shape our social interactions and hierarchies. With its engaging writing style and thought-provoking insights, this book promises to leave a lasting impact on readers, challenging their assumptions about power and hierarchy and inspiring them to envision a more just and equitable society. If you like this book, write a review!
Semantic Cognition
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Author : Timothy T. Rogers
language : en
Publisher: MIT Press
Release Date : 2004
Semantic Cognition written by Timothy T. Rogers and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Computers categories.
A mechanistic theory of the representation and use of semantic knowledge that uses distributed connectionist networks as a starting point for a psychological theory of semantic cognition.