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Author  Title  Accn#  Year  Item Type  Claims 
1 
Pisarchik, Alexander N 
Multistability in Physical and Living Systems 
I12538 
2022 
Book 

2 
Zhang, Ziye 
ComplexValued 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 
NetworkOriented Modeling 
I10173 
2016 
eBook 

10 
Mantica, Giorgio 
Emergent Complexity from Nonlinearity, in Physics, Engineering and the Life Sciences 
I09877 
2017 
eBook 


1.


Title  Multistability in Physical and Living Systems : Characterization and Applications 
Author(s)  Pisarchik, Alexander N;Hramov, Alexander E 
Publication  Cham, 1. Imprint: Springer
2. Springer International Publishing, 2022. 
Description  XVI, 408 p. 247 illus., 144 illus. in color : online resource 
Abstract Note  This 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 selforganization of matter and world complexity 
ISBN,Price  9783030983963 
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

Item Type  Book 
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Call#  Status  Issued To  Return Due On  Physical Location 
I12538 


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2.


Title  ComplexValued Neural Networks Systems with Time Delay : Stability Analysis and (Anti)Synchronization Control 
Author(s)  Zhang, Ziye;Wang, Zhen;Chen, Jian;Lin, Chong 
Publication  Singapore, 1. Imprint: Springer
2. Springer Nature Singapore, 2022. 
Description  XII, 229 p. 49 illus., 48 illus. in color : online resource 
Abstract Note  This book provides uptodate developments in the stability analysis and (anti)synchronization control area for complexvalued 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, uptodate, 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 complexvalued neural network systems, dynamic systems, and intelligent control theory 
ISBN,Price  9789811954504 
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)??

Item Type  Book 
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Call#  Status  Issued To  Return Due On  Physical Location 
I12311 


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3.


Title  Digital Audio Processing Fundamentals 
Author(s)  Uncini, Aurelio 
Publication  Cham, 1. Imprint: Springer
2. Springer International Publishing, 2022. 
Description  XVI, 716 p. 533 illus., 413 illus. in color : online resource 
Abstract Note  The 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 discretetime audio signal models. Readers can find within a selfcontained 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 socalled audio effects, abstract methods of sound synthesis, and finally, methods of synthesis by physical modeling 
ISBN,Price  9783031142284 
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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Call#  Status  Issued To  Return Due On  Physical Location 
I12272 


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4.


Title  Statistical Mechanics of Neural Networks 
Author(s)  Huang, Haiping 
Publication  Singapore, Springer Nature Singapore, 2021. 
Description  XVIII, 296 p. 62 illus., 40 illus. in color : online resource 
Abstract Note  This 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 meanfield theory, replica techniques, the Nishimori condition, variational methods, the dynamical meanfield theory, unsupervised learning, associative memory models, perceptron models, the chaos theory of recurrent neural networks, and eigenspectrums of neural networks, walking new learners through the theories and musthave 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,Price  9789811675706 
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

Item Type  eBook 
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I11949 


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5.


Title  Creativity and Innovation : Cognitive, Social, and Computational Approaches 
Author(s)  Doboli, Simona;Kenworthy, Jared B;Minai, Ali A;Paulus, Paul B 
Publication  Cham, Springer International Publishing, 2021. 
Description  XIV, 274 p. 53 illus., 48 illus. in color : online resource 
Abstract Note  This 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 multiagent 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,Price  9783030771980 
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

Item Type  eBook 
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Call#  Status  Issued To  Return Due On  Physical Location 
I11934 


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6.


Title  Wavelets in Neuroscience 
Author(s)  Hramov, Alexander E;Koronovskii, Alexey A;Makarov, Valeri A;Maksimenko, Vladimir A;Pavlov, Alexey N;Sitnikova, Evgenia 
Publication  Cham, Springer International Publishing, 2021. 
Description  XVI, 384 p. 174 illus., 69 illus. in color : online resource 
Abstract Note  This 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 waveletbased 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 Realtime Classification of Motorrelated 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,Price  9783030759926 
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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Call#  Status  Issued To  Return Due On  Physical Location 
I11833 


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7.


Title  Patterns of Synchrony in Complex Networks of Adaptively Coupled Oscillators 
Author(s)  Berner, Rico 
Publication  Cham, Springer International Publishing, 2021. 
Description  XVI, 203 p. 51 illus., 44 illus. in color : online resource 
Abstract Note  The 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 spiketiming 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,Price  9783030749385 
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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I11814 


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8.


Title  Form Versus Function: Theory and Models for Neuronal Substrates 
Author(s)  Petrovici, Mihai Alexandru 
Publication  Cham, Springer International Publishing, 2016. 
Description  XXVI, 374 p. 150 illus., 101 illus. in color : online resource 
Abstract Note  This 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 indepth description of the stateoftheart 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 energyefficient 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,Price  9783319395524 
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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Call#  Status  Issued To  Return Due On  Physical Location 
I10320 


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9.


Title  NetworkOriented Modeling : Addressing Complexity of Cognitive, Affective and Social Interactions 
Author(s)  Treur, Jan 
Publication  Cham, Springer International Publishing, 2016. 
Description  XVI, 499 p. 134 illus., 52 illus. in color : online resource 
Abstract Note  This 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. Networkoriented modeling allows highlevel 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 decisionmaking 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,Price  9783319452135 
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. Datadriven 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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Call#  Status  Issued To  Return Due On  Physical Location 
I10173 


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10.
 
Title  Emergent Complexity from Nonlinearity, in Physics, Engineering and the Life Sciences : Proceedings of the XXIII International Conference on Nonlinear Dynamics of Electronic Systems, Como, Italy, 711 September 2015 
Author(s)  Mantica, Giorgio;Stoop, Ruedi;Stramaglia, Sebastiano 
Publication  Cham, Springer International Publishing, 2017. 
Description  XXV, 222 p. 113 illus., 86 illus. in color : online resource 
Abstract Note  This book collects contributions to the XXIII international conference ???Nonlinear dynamics of electronic systems???. Topics range from nonlinearity 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,Price  9783319478104 
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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Call#  Status  Issued To  Return Due On  Physical Location 
I09877 


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