SLIM21

Sort Order Display Format Items / Page  
 
  Click the serial number on the left to view the details of the item.
 #  AuthorTitleAccn#YearItem 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 Data-Based Reconstruction of Complex Nonlinear Dynamical Systems I08774 2019 eBook  
10 Rangarajan, Govindan Processes with Long-Range Correlations I11491 2003 eBook  
(page:1 / 6) [#52]    Next Page   Last Page 

1.    
No image available
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
Item TypeeBook
Multi-Media Links
Please Click here for eBook
Circulation Data
Accession#  Call#StatusIssued ToReturn Due On Physical Location
I11833     On Shelf    

2.     
No image available
TitleMind and the Cosmic Order : How the Mind Creates the Features & Structure of All Things, and Why this Insight Transforms Physics
Author(s)Pinter, Charles
PublicationCham, Springer International Publishing, 2021.
DescriptionXI, 176 p. 3 illus : online resource
Abstract NoteThe 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 mind-world 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,Price9783030500832
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
Item TypeeBook
Multi-Media Links
Please Click here for eBook
Circulation Data
Accession#  Call#StatusIssued ToReturn Due On Physical Location
I11596     On Shelf    

3.     
No image available
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
Item TypeeBook
Multi-Media Links
Please Click here for eBook
Circulation Data
Accession#  Call#StatusIssued ToReturn Due On Physical Location
I10320     On Shelf    

4.     
No image available
TitleHow Can Physics Underlie the Mind? : Top-Down Causation in the Human Context
Author(s)Ellis, George
PublicationBerlin, Heidelberg, Springer Berlin Heidelberg, 2016.
DescriptionXXVI, 482 p. 36 illus : online resource
Abstract NotePhysics 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 non-physical 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 top-down causation, which is the key effect allowing the emergence of true complexity and also enables the causal efficacy of non-physical entities, including the value of money, social conventions, and ethical choices
ISBN,Price9783662498095
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
Item TypeeBook
Multi-Media Links
Please Click here for eBook
Circulation Data
Accession#  Call#StatusIssued ToReturn Due On Physical Location
I10069     On Shelf    

5.     
No image available
TitleExtracellular Potentials in the Hippocampus : Sources and Biophysical Mechanisms
Author(s)Fern??ndez Ruiz, Antonio
PublicationCham, Springer International Publishing, 2016.
DescriptionXIX, 79 p. 30 illus., 29 illus. in color : online resource
Abstract NoteIn this thesis, the author investigates the biophysical basis of the local field potential (LFP) as a way of gaining a better understanding of its underlying physiological mechanisms. The results represent major advances in our understanding and interpretation of LFPs and brain oscillations. They highlight the importance of using suitable experimental and analytical methods to explore the activity of brain circuits and point to the LFP as a useful, but complex variable for this purpose
ISBN,Price9783319410395
Keyword(s)1. Applications of Nonlinear Dynamics and Chaos Theory 2. Biological and Medical Physics, Biophysics 3. BIOLOGICAL PHYSICS 4. BIOPHYSICS 5. EBOOK 6. EBOOK - SPRINGER 7. NEUROBIOLOGY 8. Neurosciences 9. STATISTICAL PHYSICS
Item TypeeBook
Multi-Media Links
Please Click here for eBook
Circulation Data
Accession#  Call#StatusIssued ToReturn Due On Physical Location
I10056     On Shelf    

6.     
No image available
TitleStatistical Field Theory for Neural Networks
Author(s)Helias, Moritz;Dahmen, David
PublicationCham, Springer International Publishing, 2020.
DescriptionXVII, 203 p. 127 illus., 5 illus. in color : online resource
Abstract NoteThis book presents a self-contained 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 self-study 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,Price9783030464448
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
Item TypeeBook
Multi-Media Links
Please Click here for eBook
Circulation Data
Accession#  Call#StatusIssued ToReturn Due On Physical Location
I09583     On Shelf    

7.     
No image available
TitleDelay Controlled Partial Synchronization in Complex Networks
Author(s)Sawicki, Jakub
PublicationCham, Springer International Publishing, 2019.
DescriptionXV, 166 p : online resource
Abstract NoteThe focus of this thesis are synchronization phenomena in networks and their intrinsic control through time delay, which is ubiquitous in real-world 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 2-oscillator 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 symmetry-breaking 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,Price9783030340766
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 TypeeBook
Multi-Media Links
Please Click here for eBook
Circulation Data
Accession#  Call#StatusIssued ToReturn Due On Physical Location
I09413     On Shelf    

8.     
No image available
TitleConsciousness and Science Fiction
Author(s)Broderick, Damien
PublicationCham, Springer International Publishing, 2018.
DescriptionXXII, 196 p : online resource
Abstract NoteScience 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 mind--a consciousness that sees and feels and thinks and loves. But what is this mind, this aware and self-aware 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,Price9783030005993
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
Item TypeeBook
Multi-Media Links
Please Click here for eBook
Circulation Data
Accession#  Call#StatusIssued ToReturn Due On Physical Location
I09059     On Shelf    

9.     
No image available
TitleAnalysis and Data-Based Reconstruction of Complex Nonlinear Dynamical Systems : Using the Methods of Stochastic Processes
Author(s)Rahimi Tabar, M. Reza
PublicationCham, Springer International Publishing, 2019.
DescriptionXVIII, 280 p. 41 illus., 22 illus. in color : online resource
Abstract NoteThis book focuses on a central question in the field of complex systems: Given a fluctuating (in time or space), uni- or multi-variant sequentially measured set of experimental data (even noisy data), how should one analyse non-parametrically the data, assess underlying trends, uncover characteristics of the fluctuations (including diffusion and jump contributions), and construct a stochastic evolution equation? Here, the term "non-parametrically" 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 self-contained 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,Price9783030184728
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 TypeeBook
Multi-Media Links
Please Click here for eBook
Circulation Data
Accession#  Call#StatusIssued ToReturn Due On Physical Location
I08774     On Shelf    

10.    
No image available
TitleProcesses with Long-Range Correlations : Theory and Applications
Author(s)Rangarajan, Govindan;Ding, Mingzhou
PublicationBerlin, Heidelberg, Springer Berlin Heidelberg, 2003.
DescriptionXVIII, 398 p : online resource
Abstract NoteProcesses 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 well-balanced 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,Price9783540448327
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 TypeeBook
Multi-Media Links
Please Click here for eBook
Circulation Data
Accession#  Call#StatusIssued ToReturn Due On Physical Location
I11491     On Shelf    

(page:1 / 6) [#52]    Next Page   Last Page