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1 Pisarchik, Alexander N Multistability in Physical and Living Systems I12538 2022 Book  
2 Zhang, Ziye Complex-Valued Neural Networks Systems with Time Delay I12311 2022 Book  
3 Uncini, Aurelio Digital Audio Processing Fundamentals I12272 2022 Book  
4 Huang, Haiping Statistical Mechanics of Neural Networks I11949 2021 eBook  
5 Doboli, Simona Creativity and Innovation I11934 2021 eBook  
6 Hramov, Alexander E Wavelets in Neuroscience I11833 2021 eBook  
7 Berner, Rico Patterns of Synchrony in Complex Networks of Adaptively Coupled Oscillators I11814 2021 eBook  
8 Petrovici, Mihai Alexandru Form Versus Function: Theory and Models for Neuronal Substrates I10320 2016 eBook  
9 Treur, Jan Network-Oriented Modeling I10173 2016 eBook  
10 Mantica, Giorgio Emergent Complexity from Nonlinearity, in Physics, Engineering and the Life Sciences I09877 2017 eBook  
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TitleMultistability in Physical and Living Systems : Characterization and Applications
Author(s)Pisarchik, Alexander N;Hramov, Alexander E
PublicationCham, 1. Imprint: Springer 2. Springer International Publishing, 2022.
DescriptionXVI, 408 p. 247 illus., 144 illus. in color : online resource
Abstract NoteThis book starts with an introduction to the basic concepts of multistability, then illustrates how multistability arises in different systems and explains the main mechanisms of multistability emergence. A special attention is given to noise which can convert a multistable deterministic system to a monostable stochastic one. Furthermore, the most important applications of multistability in different areas of science, engineering and technology are given attention throughout the book, including electronic circuits, lasers, secure communication, and human perception. The book aims to provide a first approach to multistability for readers, who are interested in understanding its fundamental concepts and applications in several fields. This book will be useful not only to researchers and engineers focusing on interdisciplinary studies, but also to graduate students and technicians. Both theoreticians and experimentalists will rely on it, in fields ranging from mathematics and laser physics to neuroscience and astronomy. The book is intended to fill a gap in the literature, to stimulate new discussions and bring some fundamental issues to a deeper level of understanding of the mechanisms underlying self-organization of matter and world complexity
ISBN,Price9783030983963
Keyword(s)1. COMPLEX SYSTEMS 2. DYNAMICAL SYSTEMS 3. EBOOK 4. EBOOK - SPRINGER 5. Mathematical Models of Cognitive Processes and Neural Networks 6. Neural networks (Computer science)?? 7. PLASMA WAVES 8. SYSTEM THEORY 9. Waves, instabilities and nonlinear plasma dynamics
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TitleComplex-Valued Neural Networks Systems with Time Delay : Stability Analysis and (Anti-)Synchronization Control
Author(s)Zhang, Ziye;Wang, Zhen;Chen, Jian;Lin, Chong
PublicationSingapore, 1. Imprint: Springer 2. Springer Nature Singapore, 2022.
DescriptionXII, 229 p. 49 illus., 48 illus. in color : online resource
Abstract NoteThis book provides up-to-date developments in the stability analysis and (anti-)synchronization control area for complex-valued neural networks systems with time delay. It brings out the characteristic systematism in them and points out further insight to solve relevant problems. It presents a comprehensive, up-to-date, and detailed treatment of dynamical behaviors including stability analysis and (anti-)synchronization control. The materials included in the book are mainly based on the recent research work carried on by the authors in this domain. The book is a useful reference for all those from senior undergraduates, graduate students, to senior researchers interested in or working with control theory, applied mathematics, system analysis and integration, automation, nonlinear science, computer and other related fields, especially those relevant scientific and technical workers in the research of complex-valued neural network systems, dynamic systems, and intelligent control theory
ISBN,Price9789811954504
Keyword(s)1. Control and Systems Theory 2. Control engineering 3. EBOOK 4. EBOOK - SPRINGER 5. Mathematical Models of Cognitive Processes and Neural Networks 6. Neural networks (Computer science)??
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TitleDigital Audio Processing Fundamentals
Author(s)Uncini, Aurelio
PublicationCham, 1. Imprint: Springer 2. Springer International Publishing, 2022.
DescriptionXVI, 716 p. 533 illus., 413 illus. in color : online resource
Abstract NoteThe book provides an accessible overview of audio signal processing, and enables readers to design and write algorithms for the analysis, synthesis, and manipulation of musical and acoustic signals for any programming language. It provides an overview of highly interdisciplinary topics developed in a simple but rigorous way, and described in a unified and formal language which focuses on determining discrete-time audio signal models. Readers can find within a self-contained volume basic topics ranging over different disciplines: mechanical acoustics, physical systems and linear and nonlinear models, with lumped and distributed parameters; described and developed with the same level of mathematical formalism, easy to understand and oriented to the development of algorithms. Topics include the fundamental concepts of acoustic mechanics and vibration; the design of filters and equalizers for sound signals, the so-called audio effects, abstract methods of sound synthesis, and finally, methods of synthesis by physical modeling
ISBN,Price9783031142284
Keyword(s)1. ACOUSTICS 2. Computational Intelligence 3. EBOOK 4. EBOOK - SPRINGER 5. Mathematical Models of Cognitive Processes and Neural Networks 6. Neural networks (Computer science)?? 7. SIGNAL PROCESSING 8. Speech and Audio Processing 9. Speech processing systems
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TitleStatistical Mechanics of Neural Networks
Author(s)Huang, Haiping
PublicationSingapore, Springer Nature Singapore, 2021.
DescriptionXVIII, 296 p. 62 illus., 40 illus. in color : online resource
Abstract NoteThis book highlights a comprehensive introduction to the fundamental statistical mechanics underneath the inner workings of neural networks. The book discusses in details important concepts and techniques including the cavity method, the mean-field theory, replica techniques, the Nishimori condition, variational methods, the dynamical mean-field theory, unsupervised learning, associative memory models, perceptron models, the chaos theory of recurrent neural networks, and eigen-spectrums of neural networks, walking new learners through the theories and must-have skillsets to understand and use neural networks. The book focuses on quantitative frameworks of neural network models where the underlying mechanisms can be precisely isolated by physics of mathematical beauty and theoretical predictions. It is a good reference for students, researchers, and practitioners in the area of neural networks
ISBN,Price9789811675706
Keyword(s)1. ARTIFICIAL INTELLIGENCE 2. Computational Intelligence 3. EBOOK 4. EBOOK - SPRINGER 5. Mathematical Models of Cognitive Processes and Neural Networks 6. Neural networks (Computer science)?? 7. STATISTICAL MECHANICS 8. STATISTICAL PHYSICS
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TitleCreativity and Innovation : Cognitive, Social, and Computational Approaches
Author(s)Doboli, Simona;Kenworthy, Jared B;Minai, Ali A;Paulus, Paul B
PublicationCham, Springer International Publishing, 2021.
DescriptionXIV, 274 p. 53 illus., 48 illus. in color : online resource
Abstract NoteThis book focuses on the emergence of creative ideas from cognitive and social dynamics. In particular, it presents data, models, and analytical methods grounded in a network dynamics approach. It has long been hypothesized that innovation arises from a recombination of older ideas and concepts, but this has been studied primarily at an abstract level. In this book, we consider the networks underlying innovation ??? from the brain networks supporting semantic cognition to human networks such as brainstorming groups or individuals interacting through social networks ??? and relate the emergence of ideas to the structure and dynamics of these networks. Methods described include experimental studies with human participants, mathematical evaluation of novelty from group brainstorming experiments, neurodynamical modeling of conceptual combination, and multi-agent modeling of collective creativity. The main distinctive features of this book are the breadth of perspectives considered, the integration of experiments with theory, and a focus on the combinatorial emergence of ideas
ISBN,Price9783030771980
Keyword(s)1. Applied Dynamical Systems 2. Biotechnology 3. DYNAMICS 4. EBOOK 5. EBOOK - SPRINGER 6. GRAPH THEORY 7. Mathematical Models of Cognitive Processes and Neural Networks 8. Neural networks (Computer science)?? 9. NEUROPSYCHOLOGY 10. NONLINEAR THEORIES
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TitleWavelets in Neuroscience
Author(s)Hramov, Alexander E;Koronovskii, Alexey A;Makarov, Valeri A;Maksimenko, Vladimir A;Pavlov, Alexey N;Sitnikova, Evgenia
PublicationCham, Springer International Publishing, 2021.
DescriptionXVI, 384 p. 174 illus., 69 illus. in color : online resource
Abstract NoteThis book illustrates how modern mathematical wavelet transform techniques offer fresh insights into the complex behavior of neural systems at different levels: from the microscopic dynamics of individual cells to the macroscopic behavior of large neural networks. It also demonstrates how and where wavelet-based mathematical tools can provide an advantage over classical approaches used in neuroscience. The authors well describe single neuron and populational neural recordings. This 2nd edition discusses novel areas and significant advances resulting from experimental techniques and computational approaches developed since 2015, and includes three new topics: ??? Detection of fEPSPs in multielectrode LFPs recordings. ??? Analysis of Visual Sensory Processing in the Brain and BCI for Human Attention Control; ??? Analysis and Real-time Classification of Motor-related EEG Patterns; The book is a valuable resource for neurophysiologists and physicists familiar with nonlinear dynamical systems and data processing, as well as for graduate students specializing in these and related areas
ISBN,Price9783030759926
Keyword(s)1. Applied Dynamical Systems 2. BIOPHYSICS 3. DYNAMICS 4. EBOOK 5. EBOOK - SPRINGER 6. GRAPH THEORY 7. Mathematical Models of Cognitive Processes and Neural Networks 8. Neural networks (Computer science)?? 9. NEUROSCIENCE 10. Neurosciences 11. NONLINEAR THEORIES
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TitlePatterns of Synchrony in Complex Networks of Adaptively Coupled Oscillators
Author(s)Berner, Rico
PublicationCham, Springer International Publishing, 2021.
DescriptionXVI, 203 p. 51 illus., 44 illus. in color : online resource
Abstract NoteThe focus of this thesis is the interplay of synchrony and adaptivity in complex networks. Synchronization is a ubiquitous phenomenon observed in different contexts in physics, chemistry, biology, neuroscience, medicine, socioeconomic systems, and engineering. Most prominently, synchronization takes place in the brain, where it is associated with cognitive capacities like learning and memory, but is also a characteristic of neurological diseases like Parkinson and epilepsy. Adaptivity is common in many networks in nature and technology, where the connectivity changes in time, i.e., the strength of the coupling is continuously adjusted depending upon the dynamic state of the system, for instance synaptic neuronal plasticity in the brain. This research contributes to a fundamental understanding of various synchronization patterns, including hierarchical multifrequency clusters, chimeras and other partial synchronization states. After a concise survey of the fundamentals of adaptive and complex dynamical networks and synaptic plasticity, in the first part of the thesis the existence and stability of cluster synchronization in globally coupled adaptive networks is discussed for simple paradigmatic phase oscillators as well as for a more realistic neuronal oscillator model with spike-timing dependent plasticity. In the second part of the thesis the interplay of adaptivity and connectivity is investigated for more complex network structures like nonlocally coupled rings, random networks, and multilayer systems. Besides presenting a plethora of novel, sometimes intriguing patterns of synchrony, the thesis makes a number of pioneering methodological advances, where rigorous mathematical proofs are given in the Appendices. These results are of interest not only from a fundamental point of view, but also with respect to challenging applications in neuroscience and technological systems
ISBN,Price9783030749385
Keyword(s)1. COMPLEX SYSTEMS 2. DYNAMICAL SYSTEMS 3. EBOOK 4. EBOOK - SPRINGER 5. Mathematical Models of Cognitive Processes and Neural Networks 6. Neural networks (Computer science)?? 7. SYSTEM THEORY
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TitleForm Versus Function: Theory and Models for Neuronal Substrates
Author(s)Petrovici, Mihai Alexandru
PublicationCham, Springer International Publishing, 2016.
DescriptionXXVI, 374 p. 150 illus., 101 illus. in color : online resource
Abstract NoteThis thesis addresses one of the most fundamental challenges for modern science: how can the brain as a network of neurons process information, how can it create and store internal models of our world, and how can it infer conclusions from ambiguous data? The author addresses these questions with the rigorous language of mathematics and theoretical physics, an approach that requires a high degree of abstraction to transfer results of wet lab biology to formal models. The thesis starts with an in-depth description of the state-of-the-art in theoretical neuroscience, which it subsequently uses as a basis to develop several new and original ideas. Throughout the text, the author connects the form and function of neuronal networks. This is done in order to achieve functional performance of biological brains by transferring their form to synthetic electronics substrates, an approach referred to as neuromorphic computing. The obvious aspect that this transfer can never be perfect but necessarily leads to performance differences is substantiated and explored in detail. The author also introduces a novel interpretation of the firing activity of neurons. He proposes a probabilistic interpretation of this activity and shows by means of formal derivations that stochastic neurons can sample from internally stored probability distributions. This is corroborated by the author???s recent findings, which confirm that biological features like the high conductance state of networks enable this mechanism. The author goes on to show that neural sampling can be implemented on synthetic neuromorphic circuits, paving the way for future applications in machine learning and cognitive computing, for example as energy-efficient implementations of deep learning networks. The thesis offers an essential resource for newcomers to the field and an inspiration for scientists working in theoretical neuroscience and the future of computing
ISBN,Price9783319395524
Keyword(s)1. COMPUTER SIMULATION 2. EBOOK 3. EBOOK - SPRINGER 4. Mathematical Models of Cognitive Processes and Neural Networks 5. Neural networks (Computer science)?? 6. NEUROBIOLOGY 7. Neurosciences 8. Numerical and Computational Physics, Simulation 9. PHYSICS 10. Simulation and Modeling
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I10320     On Shelf    

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TitleNetwork-Oriented Modeling : Addressing Complexity of Cognitive, Affective and Social Interactions
Author(s)Treur, Jan
PublicationCham, Springer International Publishing, 2016.
DescriptionXVI, 499 p. 134 illus., 52 illus. in color : online resource
Abstract NoteThis book presents a new approach that can be applied to complex, integrated individual and social human processes. It provides an alternative means of addressing complexity, better suited for its purpose than and effectively complementing traditional strategies involving isolation and separation assumptions. Network-oriented modeling allows high-level cognitive, affective and social models in the form of (cyclic) graphs to be constructed, which can be automatically transformed into executable simulation models. The modeling format used makes it easy to take into account theories and findings about complex cognitive and social processes, which often involve dynamics based on interrelating cycles. Accordingly, it makes it possible to address complex phenomena such as the integration of emotions within cognitive processes of all kinds, of internal simulations of the mental processes of others, and of social phenomena such as shared understandings and collective actions. A variety of sample models ??? including those for ownership of actions, fear and dreaming, the integration of emotions in joint decision-making based on empathic understanding, and evolving social networks ??? illustrate the potential of the approach. Dedicated software is available to support building models in a conceptual or graphical manner, transforming them into an executable format and performing simulation experiments. The majority of the material presented has been used and positively evaluated by undergraduate and graduate students and researchers in the cognitive, social and AI domains. Given its detailed coverage, the book is ideally suited as an introduction for graduate and undergraduate students in many different multidisciplinary fields involving cognitive, affective, social, biological, and neuroscience domains
ISBN,Price9783319452135
Keyword(s)1. APPLICATION SOFTWARE 2. Applications of Graph Theory and Complex Networks 3. COMPLEXITY 4. COMPUTATIONAL COMPLEXITY 5. Computer Appl. in Social and Behavioral Sciences 6. Data-driven Science, Modeling and Theory Building 7. EBOOK 8. EBOOK - SPRINGER 9. ECONOPHYSICS 10. Mathematical Models of Cognitive Processes and Neural Networks 11. Neural networks (Computer science)?? 12. PHYSICS 13. Sociophysics
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TitleEmergent Complexity from Nonlinearity, in Physics, Engineering and the Life Sciences : Proceedings of the XXIII International Conference on Nonlinear Dynamics of Electronic Systems, Como, Italy, 7-11 September 2015
Author(s)Mantica, Giorgio;Stoop, Ruedi;Stramaglia, Sebastiano
PublicationCham, Springer International Publishing, 2017.
DescriptionXXV, 222 p. 113 illus., 86 illus. in color : online resource
Abstract NoteThis book collects contributions to the XXIII international conference ???Nonlinear dynamics of electronic systems???. Topics range from non-linearity in electronic circuits to synchronisation effects in complex networks to biological systems, neural dynamics and the complex organisation of the brain. Resting on a solid mathematical basis, these investigations address highly interdisciplinary problems in physics, engineering, biology and biochemistry
ISBN,Price9783319478104
Keyword(s)1. BIOCHEMISTRY 2. Biochemistry, general 3. COMPLEX SYSTEMS 4. DYNAMICAL SYSTEMS 5. EBOOK 6. EBOOK - SPRINGER 7. ELECTRONICS 8. Electronics and Microelectronics, Instrumentation 9. Mathematical Models of Cognitive Processes and Neural Networks 10. MICROELECTRONICS 11. Neural networks (Computer science)?? 12. STATISTICAL PHYSICS 13. Statistical Physics and Dynamical Systems 14. Systems biology
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I09877     On Shelf    

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