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Author  Title  Accn#  Year  Item Type  Claims 
1 
Hramov, Alexander E 
Wavelets in Neuroscience 
I11833 
2021 
eBook 

2 
Pinter, Charles 
Mind and the Cosmic Order 
I11596 
2021 
eBook 

3 
Petrovici, Mihai Alexandru 
Form Versus Function: Theory and Models for Neuronal Substrates 
I10320 
2016 
eBook 

4 
Ellis, George 
How Can Physics Underlie the Mind? 
I10069 
2016 
eBook 

5 
Fern??ndez Ruiz, Antonio 
Extracellular Potentials in the Hippocampus 
I10056 
2016 
eBook 

6 
Helias, Moritz 
Statistical Field Theory for Neural Networks 
I09583 
2020 
eBook 

7 
Sawicki, Jakub 
Delay Controlled Partial Synchronization in Complex Networks 
I09413 
2019 
eBook 

8 
Broderick, Damien 
Consciousness and Science Fiction 
I09059 
2018 
eBook 

9 
Rahimi Tabar, M. Reza 
Analysis and DataBased Reconstruction of Complex Nonlinear Dynamical Systems 
I08774 
2019 
eBook 

10 
Rangarajan, Govindan 
Processes with LongRange Correlations 
I11491 
2003 
eBook 


1.


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

Item Type  eBook 
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Call#  Status  Issued To  Return Due On  Physical Location 
I11833 


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2.


Title  Mind and the Cosmic Order : How the Mind Creates the Features & Structure of All Things, and Why this Insight Transforms Physics 
Author(s)  Pinter, Charles 
Publication  Cham, Springer International Publishing, 2021. 
Description  XI, 176 p. 3 illus : online resource 
Abstract Note  The topic of this book is the relationship between mind and the physical world. From once being an esoteric question of philosophy, this subject has become a central topic in the foundations of quantum physics. The book traces this story back to Descartes, through Kant, to the beginnings of 20th Century physics, where it becomes clear that the mindworld relationship is not a speculative question but has a direct impact on the understanding of physical phenomena. The book???s argument begins with the British empiricists who raised our awareness of the fact that we have no direct contact with physical reality, but it is the mind that constructs the form and features of objects. It is shown that modern cognitive science brings this insight a step further by suggesting that shape and structure are not internal to objects, but arise in the observer. The author goes yet further by arguing that the meaningful connectedness between things ??? the hierarchical organization of all we perceive ??? is the result of the Gestalt nature of perception and thought, and exists only as a property of mind. These insights give the first glimmerings of a new way of seeing the cosmos: not as a mineral wasteland but a place inhabited by creatures. 
ISBN,Price  9783030500832 
Keyword(s)  1. Computer Imaging, Vision, Pattern Recognition and Graphics
2. COMPUTER VISION
3. EBOOK
4. EBOOK  SPRINGER
5. Image processing???Digital techniques
6. NEUROSCIENCE
7. Neurosciences
8. PHILOSOPHY OF MIND
9. QUANTUM PHYSICS

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Accession#  
Call#  Status  Issued To  Return Due On  Physical Location 
I11596 


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3.


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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Accession#  
Call#  Status  Issued To  Return Due On  Physical Location 
I10320 


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4.


Title  How Can Physics Underlie the Mind? : TopDown Causation in the Human Context 
Author(s)  Ellis, George 
Publication  Berlin, Heidelberg, Springer Berlin Heidelberg, 2016. 
Description  XXVI, 482 p. 36 illus : online resource 
Abstract Note  Physics underlies all complexity, including our own existence: how is this possible? How can our own lives emerge from interactions of electrons, protons, and neutrons? This book considers the interaction of physical and nonphysical causation in complex systems such as living beings, and in particular in the human brain, relating this to the emergence of higher levels of complexity with real causal powers. In particular it explores the idea of topdown causation, which is the key effect allowing the emergence of true complexity and also enables the causal efficacy of nonphysical entities, including the value of money, social conventions, and ethical choices 
ISBN,Price  9783662498095 
Keyword(s)  1. COMPLEX SYSTEMS
2. DYNAMICAL SYSTEMS
3. EBOOK
4. EBOOK  SPRINGER
5. EPISTEMOLOGY
6. Evolutionary Biology
7. NEUROBIOLOGY
8. Neurosciences
9. STATISTICAL PHYSICS
10. Statistical Physics and Dynamical Systems

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Accession#  
Call#  Status  Issued To  Return Due On  Physical Location 
I10069 


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6.


Title  Statistical Field Theory for Neural Networks 
Author(s)  Helias, Moritz;Dahmen, David 
Publication  Cham, Springer International Publishing, 2020. 
Description  XVII, 203 p. 127 illus., 5 illus. in color : online resource 
Abstract Note  This book presents a selfcontained introduction to techniques from field theory applied to stochastic and collective dynamics in neuronal networks. These powerful analytical techniques, which are well established in other fields of physics, are the basis of current developments and offer solutions to pressing open problems in theoretical neuroscience and also machine learning. They enable a systematic and quantitative understanding of the dynamics in recurrent and stochastic neuronal networks. This book is intended for physicists, mathematicians, and computer scientists and it is designed for selfstudy by researchers who want to enter the field or as the main text for a one semester course at advanced undergraduate or graduate level. The theoretical concepts presented in this book are systematically developed from the very beginning, which only requires basic knowledge of analysis and linear algebra 
ISBN,Price  9783030464448 
Keyword(s)  1. EBOOK
2. EBOOK  SPRINGER
3. MACHINE LEARNING
4. Mathematical Models of Cognitive Processes and Neural Networks
5. MATHEMATICAL STATISTICS
6. Neural networks (Computer science)??
7. Neurosciences
8. Probability and Statistics in Computer Science
9. STATISTICAL PHYSICS
10. Statistical Physics and Dynamical Systems

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Accession#  
Call#  Status  Issued To  Return Due On  Physical Location 
I09583 


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7.


Title  Delay Controlled Partial Synchronization in Complex Networks 
Author(s)  Sawicki, Jakub 
Publication  Cham, Springer International Publishing, 2019. 
Description  XV, 166 p : online resource 
Abstract Note  The focus of this thesis are synchronization phenomena in networks and their intrinsic control through time delay, which is ubiquitous in realworld systems ranging from physics and acoustics to neuroscience and engineering. We encounter synchronization everywhere and it can be either a helpful or a detrimental mechanism. In the first part, after a survey of complex nonlinear systems and networks, we show that a seemingly simple system of two organ pipes gives birth to complex bifurcation and synchronization scenarios. Going from a 2oscillator system to a ring of oscillators, we encounter the intriguing phenomenon of chimera states which are partial synchrony patterns with coexisting domains of synchronized and desynchronized dynamics. For more than a decade scientist have tried to solve the puzzle of this spontaneous symmetrybreaking emerging in networks of identical elements. We provide an analysis of initial conditions and extend our model by the addition of time delay and fractal connectivities. In the second part, we investigate partial synchronization patterns in a neuronal network and explain dynamical asymmetry arising from the hemispheric structure of the human brain. A particular focus is on the novel scenario of partial relay synchronization in multiplex networks. Such networks allow for synchronization of the coherent domains of chimera states via a remote layer, whereas the incoherent domains remain desynchronized. The theoretical framework is demonstrated with different generic models. 
ISBN,Price  9783030340766 
Keyword(s)  1. Acoustical engineering
2. ACOUSTICS
3. Applications of Graph Theory and Complex Networks
4. COMPLEX SYSTEMS
5. EBOOK
6. EBOOK  SPRINGER
7. Engineering Acoustics
8. NEUROBIOLOGY
9. Neurosciences
10. PHYSICS
11. SYSTEM THEORY

Item Type  eBook 
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Accession#  
Call#  Status  Issued To  Return Due On  Physical Location 
I09413 


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8.


Title  Consciousness and Science Fiction 
Author(s)  Broderick, Damien 
Publication  Cham, Springer International Publishing, 2018. 
Description  XXII, 196 p : online resource 
Abstract Note  Science fiction explores the wonderful, baffling and wildly entertaining aspects of a universe unimaginably old and vast, and with a future even more immense. It reaches into that endless cosmos with the tools of rational investigation and storytelling. At the core of both science and science fiction is the engaged human minda consciousness that sees and feels and thinks and loves. But what is this mind, this aware and selfaware consciousness that seems unlike anything else we experience? What makes consciousness the Hard Problem of philosophy, still unsolved after millennia of probing? This book looks into the heart of this mystery  at the science and philosophy of consciousness and at many inspiring fictional examples  and finds strange, challenging answers. The book's content and entertaining style will appeal equally to science fiction enthusiasts and scholars, including cognitive and neuroscientists, as well as philosophers of mind. It is a refreshing romp through the science and science fiction of consciousness 
ISBN,Price  9783030005993 
Keyword(s)  1. ARTIFICIAL INTELLIGENCE
2. EBOOK
3. EBOOK  SPRINGER
4. History and Philosophical Foundations of Physics
5. Neurosciences
6. PHILOSOPHY
7. PHYSICS
8. Popular Science in Philosophy
9. Popular Science in Physics

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Accession#  
Call#  Status  Issued To  Return Due On  Physical Location 
I09059 


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9.


Title  Analysis and DataBased Reconstruction of Complex Nonlinear Dynamical Systems : Using the Methods of Stochastic Processes 
Author(s)  Rahimi Tabar, M. Reza 
Publication  Cham, Springer International Publishing, 2019. 
Description  XVIII, 280 p. 41 illus., 22 illus. in color : online resource 
Abstract Note  This book focuses on a central question in the field of complex systems: Given a fluctuating (in time or space), uni or multivariant sequentially measured set of experimental data (even noisy data), how should one analyse nonparametrically the data, assess underlying trends, uncover characteristics of the fluctuations (including diffusion and jump contributions), and construct a stochastic evolution equation? Here, the term "nonparametrically" exemplifies that all the functions and parameters of the constructed stochastic evolution equation can be determined directly from the measured data. The book provides an overview of methods that have been developed for the analysis of fluctuating time series and of spatially disordered structures. Thanks to its feasibility and simplicity, it has been successfully applied to fluctuating time series and spatially disordered structures of complex systems studied in scientific fields such as physics, astrophysics, meteorology, earth science, engineering, finance, medicine and the neurosciences, and has led to a number of important results. The book also includes the numerical and analytical approaches to the analyses of complex time series that are most common in the physical and natural sciences. Further, it is selfcontained and readily accessible to students, scientists, and researchers who are familiar with traditional methods of mathematics, such as ordinary, and partial differential equations. The codes for analysing continuous time series are available in an R package developed by the research group Turbulence, Wind energy and Stochastic (TWiSt) at the Carl von Ossietzky University of Oldenburg under the supervision of Prof. Dr. Joachim Peinke. This package makes it possible to extract the (stochastic) evolution equation underlying a set of data or measurements 
ISBN,Price  9783030184728 
Keyword(s)  1. COMPLEX SYSTEMS
2. COMPLEXITY
3. COMPUTATIONAL COMPLEXITY
4. DYNAMICAL SYSTEMS
5. EBOOK
6. EBOOK  SPRINGER
7. ECONOMIC THEORY
8. Economic Theory/Quantitative Economics/Mathematical Methods
9. Neurosciences
10. PROBABILITIES
11. Probability Theory and Stochastic Processes
12. STATISTICAL PHYSICS
13. SYSTEM THEORY

Item Type  eBook 
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Accession#  
Call#  Status  Issued To  Return Due On  Physical Location 
I08774 


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10.
 
Title  Processes with LongRange Correlations : Theory and Applications 
Author(s)  Rangarajan, Govindan;Ding, Mingzhou 
Publication  Berlin, Heidelberg, Springer Berlin Heidelberg, 2003. 
Description  XVIII, 398 p : online resource 
Abstract Note  Processes with long range correlations occur in a wide variety of fields ranging from physics and biology to economics and finance. This book, suitable for both graduate students and specialists, brings the reader up to date on this rapidly developing field. A distinguished group of experts have been brought together to provide a comprehensive and wellbalanced account of basic notions and recent developments. The book is divided into two parts. The first part deals with theoretical developments in the area. The second part comprises chapters dealing primarily with three major areas of application: anomalous diffusion, economics and finance, and biology (especially neuroscience) 
ISBN,Price  9783540448327 
Keyword(s)  1. COMPLEX SYSTEMS
2. DYNAMICAL SYSTEMS
3. EBOOK
4. EBOOK  SPRINGER
5. ECONOMIC THEORY
6. Economic Theory/Quantitative Economics/Mathematical Methods
7. NEUROBIOLOGY
8. Neurosciences
9. STATISTICAL PHYSICS
10. Statistical Physics and Dynamical Systems

Item Type  eBook 
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Accession#  
Call#  Status  Issued To  Return Due On  Physical Location 
I11491 


On Shelf 



 