Hierarchy And Dynamics In Neural Networks

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Hierarchy and dynamics in neural networks

Rolf Kötter,Marcus Kaiser,Claus C. Hilgetag
Hierarchy and dynamics in neural networks Book PDF

Author : Rolf Kötter,Marcus Kaiser,Claus C. Hilgetag
Publisher : Frontiers E-books
Page : 97 pages
File Size : 42,8 Mb
Release : 2012-01-01
Category : Electronic
ISBN : 9782889190102

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Hierarchy and dynamics in neural networks by Rolf Kötter,Marcus Kaiser,Claus C. Hilgetag Pdf

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.

A Chaotic Hierarchy

Gerold Baier,Michael Klein
A Chaotic Hierarchy Book PDF

Author : Gerold Baier,Michael Klein
Publisher : World Scientific
Page : 412 pages
File Size : 55,6 Mb
Release : 1991-03-29
Category : Electronic
ISBN : 9789814618908

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A Chaotic Hierarchy by Gerold Baier,Michael Klein Pdf

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. Contents:Hierarchies of Dynamical Systems (M Klein & G Baier)The Chaotic Hierarchy (O E Rössler)Phase Regulation of Coupled Oscillators and Chaos (R H Abraham)Symbolic Dynamics in the Belousov-Zhabotinskii Reaction: From Rössler's Intuition to Experimental Evidence for Shil'nikov's Homoclinic Chaos (F Argoul et al.)Determinism in a World of Non-Invertible Transformations (H Degn)Structural, Functional and Dynamical Hierarchies in Neural Networks (A V Holden)Climbing Up Dynamical Hierarchy (K Kaneko)Chaotic Hierarchy from the One-Dimensional Box-Within-a-Box Bifurcations Structure Properties (Ch Mira)The Peroxidase-Oxidase Reaction: A Case for Chaos in the Biochemistry of the Cell (L F Olsen et al.)Experimental Progress on the Ladder Towards Higher Chaos (J Peinke et al.)Conjugate Pair of Representations in Chaos and Quantum Mechanics (K Tomita) Readership: Mathematicians, mathematical physicists and condensed matter physicists. Keywords:Nonlinear Dynamics;Chaos;Hyperchaos;Dynamic Hierarchies;Ordinary Differential Equations;Bifurcations

Artificial Neural Networks and Machine Learning -- ICANN 2012

Alessandro Villa,Wlodzislaw Duch,Peter Erdi,Francesco Masulli,Günther Palm
Artificial Neural Networks and Machine Learning ICANN 2012 Book PDF

Author : Alessandro Villa,Wlodzislaw Duch,Peter Erdi,Francesco Masulli,Günther Palm
Publisher : Springer
Page : 739 pages
File Size : 44,5 Mb
Release : 2012-09-19
Category : Computers
ISBN : 9783642332692

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Artificial Neural Networks and Machine Learning -- ICANN 2012 by Alessandro Villa,Wlodzislaw Duch,Peter Erdi,Francesco Masulli,Günther Palm Pdf

The two-volume set LNCS 7552 + 7553 constitutes the proceedings of the 22nd International Conference on Artificial Neural Networks, ICANN 2012, held in Lausanne, Switzerland, in September 2012. The 162 papers included in the proceedings were carefully reviewed and selected from 247 submissions. They are organized in topical sections named: theoretical neural computation; information and optimization; from neurons to neuromorphism; spiking dynamics; from single neurons to networks; complex firing patterns; movement and motion; from sensation to perception; object and face recognition; reinforcement learning; bayesian and echo state networks; recurrent neural networks and reservoir computing; coding architectures; interacting with the brain; swarm intelligence and decision-making; mulitlayer perceptrons and kernel networks; training and learning; inference and recognition; support vector machines; self-organizing maps and clustering; clustering, mining and exploratory analysis; bioinformatics; and time weries and forecasting.

Neural Network Dynamics

J.G. Taylor,E.R. Caianiello,R.M.J. Cotterill,J.W. Clark
Neural Network Dynamics Book PDF

Author : J.G. Taylor,E.R. Caianiello,R.M.J. Cotterill,J.W. Clark
Publisher : Springer Science & Business Media
Page : 378 pages
File Size : 47,7 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781447120018

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Neural Network Dynamics by J.G. Taylor,E.R. Caianiello,R.M.J. Cotterill,J.W. Clark Pdf

Neural Network Dynamics is the latest volume in the Perspectives in Neural Computing series. It contains papers presented at the 1991 Workshop on Complex Dynamics in Neural Networks, held at IIASS in Vietri, Italy. The workshop encompassed a wide range of topics in which neural networks play a fundamental role, and aimed to bridge the gap between neural computation and computational neuroscience. The papers - which have been updated where necessary to include new results - are divided into four sections, covering the foundations of neural network dynamics, oscillatory neural networks, as well as scientific and biological applications of neural networks. Among the topics discussed are: A general analysis of neural network activity; Descriptions of various network architectures and nodes; Correlated neuronal firing; A theoretical framework for analyzing the behaviour of real and simulated neuronal networks; The structural properties of proteins; Nuclear phenomenology; Resonance searches in high energy physics; The investigation of information storage; Visual cortical architecture; Visual processing. Neural Network Dynamics is the first volume to cover neural networks and computational neuroscience in such detail. Although it is primarily aimed at researchers and postgraduate students in the above disciplines, it will also be of interest to researchers in electrical engineering, medicine, psychology and philosophy.

Springer Handbook of Computational Intelligence

Janusz Kacprzyk,Witold Pedrycz
Springer Handbook of Computational Intelligence Book PDF

Author : Janusz Kacprzyk,Witold Pedrycz
Publisher : Springer
Page : 1634 pages
File Size : 43,9 Mb
Release : 2015-05-28
Category : Technology & Engineering
ISBN : 9783662435052

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Springer Handbook of Computational Intelligence by Janusz Kacprzyk,Witold Pedrycz Pdf

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.

Music Perception

Mari Riess Jones,Richard R. Fay,Arthur N. Popper
Music Perception Book PDF

Author : Mari Riess Jones,Richard R. Fay,Arthur N. Popper
Publisher : Springer Science & Business Media
Page : 264 pages
File Size : 52,7 Mb
Release : 2010-08-17
Category : Medical
ISBN : 9781441961143

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Music Perception by Mari Riess Jones,Richard R. Fay,Arthur N. Popper Pdf

The Springer Handbook of Auditory Research presents a series of comprehensive and synthetic reviews of the fundamental topics in modern auditory research. The v- umes are aimed at all individuals with interests in hearing research including advanced graduate students, post-doctoral researchers, and clinical investigators. The volumes are intended to introduce new investigators to important aspects of hearing science and to help established investigators to better understand the fundamental theories and data in fields of hearing that they may not normally follow closely. Each volume presents a particular topic comprehensively, and each serves as a synthetic overview and guide to the literature. As such, the chapters present neither exhaustive data reviews nor original research that has not yet appeared in pe- reviewed journals. The volumes focus on topics that have developed a solid data and conceptual foundation rather than on those for which a literature is only beg- ning to develop. New research areas will be covered on a timely basis in the series as they begin to mature.

Neural Information Processing

Teddy Mantoro,Minho Lee,Media Anugerah Ayu,Kok Wai Wong,Achmad Nizar Hidayanto
Neural Information Processing Book PDF

Author : Teddy Mantoro,Minho Lee,Media Anugerah Ayu,Kok Wai Wong,Achmad Nizar Hidayanto
Publisher : Springer Nature
Page : 772 pages
File Size : 40,9 Mb
Release : 2021-12-06
Category : Computers
ISBN : 9783030923105

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Neural Information Processing by Teddy Mantoro,Minho Lee,Media Anugerah Ayu,Kok Wai Wong,Achmad Nizar Hidayanto Pdf

The two-volume set CCIS 1516 and 1517 constitutes thoroughly refereed short papers presented at the 28th International Conference on Neural Information Processing, ICONIP 2021, held in Sanur, Bali, Indonesia, in December 2021.* The volume also presents papers from the workshop on Artificial Intelligence and Cyber Security, held during the ICONIP 2021. The 176 short and workshop papers presented in this volume were carefully reviewed and selected for publication out of 1093 submissions. The papers are organized in topical sections as follows: theory and algorithms; AI and cybersecurity; cognitive neurosciences; human centred computing; advances in deep and shallow machine learning algorithms for biomedical data and imaging; reliable, robust, and secure machine learning algorithms; theory and applications of natural computing paradigms; applications. * The conference was held virtually due to the COVID-19 pandemic.

Artificial Neural Networks and Machine Learning – ICANN 2022

Elias Pimenidis,Plamen Angelov,Chrisina Jayne,Antonios Papaleonidas,Mehmet Aydin
Artificial Neural Networks and Machine Learning ICANN 2022 Book PDF

Author : Elias Pimenidis,Plamen Angelov,Chrisina Jayne,Antonios Papaleonidas,Mehmet Aydin
Publisher : Springer Nature
Page : 835 pages
File Size : 44,6 Mb
Release : 2022-09-06
Category : Computers
ISBN : 9783031159343

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Artificial Neural Networks and Machine Learning – ICANN 2022 by Elias Pimenidis,Plamen Angelov,Chrisina Jayne,Antonios Papaleonidas,Mehmet Aydin Pdf

The 4-volumes set of LNCS 13529, 13530, 13531, and 13532 constitutes the proceedings of the 31st International Conference on Artificial Neural Networks, ICANN 2022, held in Bristol, UK, in September 2022. The total of 255 full papers presented in these proceedings was carefully reviewed and selected from 561 submissions. ICANN 2022 is a dual-track conference featuring tracks in brain inspired computing and machine learning and artificial neural networks, with strong cross-disciplinary interactions and applications.

Innovations in ART Neural Networks

Beatrice Lazzerini,Ugur Halici
Innovations in ART Neural Networks Book PDF

Author : Beatrice Lazzerini,Ugur Halici
Publisher : Springer Science & Business Media
Page : 280 pages
File Size : 44,9 Mb
Release : 2000-03-06
Category : Computers
ISBN : 3790812706

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Innovations in ART Neural Networks by Beatrice Lazzerini,Ugur Halici Pdf

In the last two decades the artificial neural networks have been refined and widely used by the researchers and application engineers. We have not witnessed such a large degree of evolution in any other artificial neural network as in the Adaptive Resonance Theory (ART) neural network. The ART network remains plastic, or adaptive, in response to significant events and yet remains stable in response to irrelevant events. This stability-plasticity property is a great step towards realizing intelligent machines capable of autonomous learning in real time environment. The main aim of this book is to report a very small sample of the research on the evolution of ART neural network and its applications. Interested readers may refer literature for many more innovations in ART such as Fuzzy ART, ART2, ART2-a, ARTMAP, ARTMAP-PI, ARTMAP-DS, Gaussian ARTMAP, EXACT ART, and ART-EMAP.

World Congress on Neural Networks

Paul Werbos,Harold Szu,Bernard Widrow
World Congress on Neural Networks Book PDF

Author : Paul Werbos,Harold Szu,Bernard Widrow
Publisher : Routledge
Page : 860 pages
File Size : 43,7 Mb
Release : 2021-09-09
Category : Psychology
ISBN : 9781317713425

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World Congress on Neural Networks by Paul Werbos,Harold Szu,Bernard Widrow Pdf

Centered around 20 major topic areas of both theoretical and practical importance, the World Congress on Neural Networks provides its registrants -- from a diverse background encompassing industry, academia, and government -- with the latest research and applications in the neural network field.

From Brain Dynamics to the Mind

Georg Northoff
From Brain Dynamics to the Mind Book PDF

Author : Georg Northoff
Publisher : Elsevier
Page : 692 pages
File Size : 50,5 Mb
Release : 2024-04-01
Category : Medical
ISBN : 9780128227398

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From Brain Dynamics to the Mind by Georg Northoff Pdf

From Brain Dynamics to the Mind: Spatiotemporal Neuroscience explores how the self and consciousness is related to neural events. Sections in the book cover existing models used to describe the mind/brain problem, recent research on brain mechanisms and processes and what they tell us about the self, consciousness and psychiatric disorders. The book presents a spatiotemporal approach to understanding the brain and the implications for artificial intelligence, novel therapies for psychiatric disorders, and for ethical, societal and philosophical issues. Pulling concepts from neuroscience, psychology and philosophy, the book presents a modern and complete look at what we know, what we can surmise, and what we may never know about the distinction between brain and mind. Reviews models of understanding the mind/brain problem Identifies neural processes involved in consciousness, sense of self and brain function Includes concepts and research from neuroscience, psychology, cognitive science and philosophy Discusses implications for AI, novel therapies for psychiatric disorders and issues of ethics Suggests experimental designs and data analyses for future research on the mind/brain issue

Computational Science and Its Applications

Anupama Chadha,Sachin Sharma,Vasudha Arora
Computational Science and Its Applications Book PDF

Author : Anupama Chadha,Sachin Sharma,Vasudha Arora
Publisher : CRC Press
Page : 215 pages
File Size : 51,7 Mb
Release : 2024-01-09
Category : Computers
ISBN : 9781000799828

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Computational Science and Its Applications by Anupama Chadha,Sachin Sharma,Vasudha Arora Pdf

This new volume explores the overlapping behavior of some aspects of computational science, focusing on the intersection of computing hardware, algorithms, mathematics, and data management components. The chapters discuss the various application areas of the computational science techniques such as artificial intelligence, machine learning, data science, quantum computing, image processing, evolutionary algorithms, process simulation, deep learning, big data analysis, etc.

Artificial Neural Networks and Machine Learning – ICANN 2019: Workshop and Special Sessions

Igor V. Tetko,Věra Kůrková,Pavel Karpov,Fabian Theis
Artificial Neural Networks and Machine Learning ICANN 2019 Workshop and Special Sessions Book PDF

Author : Igor V. Tetko,Věra Kůrková,Pavel Karpov,Fabian Theis
Publisher : Springer Nature
Page : 872 pages
File Size : 40,7 Mb
Release : 2019-09-10
Category : Computers
ISBN : 9783030304935

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Artificial Neural Networks and Machine Learning – ICANN 2019: Workshop and Special Sessions by Igor V. Tetko,Věra Kůrková,Pavel Karpov,Fabian Theis Pdf

The proceedings set LNCS 11727, 11728, 11729, 11730, and 11731 constitute the proceedings of the 28th International Conference on Artificial Neural Networks, ICANN 2019, held in Munich, Germany, in September 2019. The total of 277 full papers and 43 short papers presented in these proceedings was carefully reviewed and selected from 494 submissions. They were organized in 5 volumes focusing on theoretical neural computation; deep learning; image processing; text and time series; and workshop and special sessions.

Artificial Neural Networks - ICANN 2010

Konstantinos Diamantaras,Wlodek Duch,Lazaros S. Iliadis
Artificial Neural Networks ICANN 2010 Book PDF

Author : Konstantinos Diamantaras,Wlodek Duch,Lazaros S. Iliadis
Publisher : Springer
Page : 543 pages
File Size : 45,7 Mb
Release : 2010-08-12
Category : Computers
ISBN : 9783642158223

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Artificial Neural Networks - ICANN 2010 by Konstantinos Diamantaras,Wlodek Duch,Lazaros S. Iliadis Pdf

th This volume is part of the three-volume proceedings of the 20 International Conference on Arti?cial Neural Networks (ICANN 2010) that was held in Th- saloniki, Greece during September 15–18, 2010. ICANN is an annual meeting sponsored by the European Neural Network Society (ENNS) in cooperation with the International Neural Network So- ety (INNS) and the Japanese Neural Network Society (JNNS). This series of conferences has been held annually since 1991 in Europe, covering the ?eld of neurocomputing, learning systems and other related areas. As in the past 19 events, ICANN 2010 provided a distinguished, lively and interdisciplinary discussion forum for researches and scientists from around the globe. Ito?eredagoodchanceto discussthe latestadvancesofresearchandalso all the developments and applications in the area of Arti?cial Neural Networks (ANNs). ANNs provide an information processing structure inspired by biolo- cal nervous systems and they consist of a large number of highly interconnected processing elements (neurons). Each neuron is a simple processor with a limited computing capacity typically restricted to a rule for combining input signals (utilizing an activation function) in order to calculate the output one. Output signalsmaybesenttootherunitsalongconnectionsknownasweightsthatexcite or inhibit the signal being communicated. ANNs have the ability “to learn” by example (a large volume of cases) through several iterations without requiring a priori ?xed knowledge of the relationships between process parameters.

The Physics of Structure Formation

Werner Güttinger,Gerhard Dangelmayr
The Physics of Structure Formation Book PDF

Author : Werner Güttinger,Gerhard Dangelmayr
Publisher : Springer Science & Business Media
Page : 439 pages
File Size : 50,6 Mb
Release : 2012-12-06
Category : Science
ISBN : 9783642730016

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The Physics of Structure Formation by Werner Güttinger,Gerhard Dangelmayr Pdf

The formation and evolution of complex dynamical structures is one of the most exciting areas of nonlinear physics. Such pattern formation problems are common in practically all systems involving a large number of interacting components. Here, the basic problem is to understand how competing physical forces can shape stable geometries and to explain why nature prefers just these. Motivation for the intensive study of pattern formation phenomena during the past few years derives from an increasing appreciation of the remarkable diversity of behaviour encountered in nonlinear systems and of universal features shared by entire classes of nonlinear processes. As physics copes with ever more ambi tious problems in pattern formation, summarizing our present state of knowledge becomes a pressing issue. This volume presents an overview of selected topics in this field of current interest. It deals with theoretical models of pattern formation and with simulations that bridge the gap between theory and experiment. The book is a product of the International Symposium on the Physics of Structure Formation, held from October 27 through November 2, 1986, at the Institute for Information Sciences of the University of Tiibingen. The symposium brought together a group of distinguished scientists from various disciplines to exchange ideas about recent advances in pattern formation in the physical sciences, and also to introduce young scientists to the fi