

Click the serial number on the left to view the details of the item. 
# 
Author  Title  Accn#  Year  Item Type  Claims 
1 
Petrovici, Mihai Alexandru 
Form Versus Function: Theory and Models for Neuronal Substrates 
I10320 
2016 
eBook 

2 
Ellis, George 
How Can Physics Underlie the Mind? 
I10069 
2016 
eBook 

3 
Fern??ndez Ruiz, Antonio 
Extracellular Potentials in the Hippocampus 
I10056 
2016 
eBook 

4 
Helias, Moritz 
Statistical Field Theory for Neural Networks 
I09583 
2020 
eBook 

5 
Sawicki, Jakub 
Delay Controlled Partial Synchronization in Complex Networks 
I09413 
2019 
eBook 

6 
Broderick, Damien 
Consciousness and Science Fiction 
I09059 
2018 
eBook 

7 
Rahimi Tabar, M. Reza 
Analysis and DataBased Reconstruction of Complex Nonlinear Dynamical Systems 
I08774 
2019 
eBook 

8 
Rangarajan, Govindan 
Processes with LongRange Correlations 
I11491 
2003 
eBook 

9 
Haken, Hermann 
Brain Dynamics 
I11179 
2002 
eBook 

10 
Milton, John 
Epilepsy as a Dynamic Disease 
I10539 
2003 
eBook 


1.


Title  Form Versus Function: Theory and Models for Neuronal Substrates 
Author(s)  Petrovici, Mihai Alexandru 
Publication  Cham, 1. Imprint: Springer
2. 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

Item Type  eBook 
MultiMedia Links
Please Click here for eBook
Circulation Data
Accession#  
Call#  Status  Issued To  Return Due On  Physical Location 
I10320 


On Shelf 




2.


Title  How Can Physics Underlie the Mind? : TopDown Causation in the Human Context 
Author(s)  Ellis, George 
Publication  Berlin, Heidelberg, 1. Imprint: Springer
2. 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

Item Type  eBook 
MultiMedia Links
Please Click here for eBook
Circulation Data
Accession#  
Call#  Status  Issued To  Return Due On  Physical Location 
I10069 


On Shelf 




4.


Title  Statistical Field Theory for Neural Networks 
Author(s)  Helias, Moritz;Dahmen, David 
Publication  Cham, 1. Imprint: Springer
2. 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

Item Type  eBook 
MultiMedia Links
Please Click here for eBook
Circulation Data
Accession#  
Call#  Status  Issued To  Return Due On  Physical Location 
I09583 


On Shelf 




5.


Title  Delay Controlled Partial Synchronization in Complex Networks 
Author(s)  Sawicki, Jakub 
Publication  Cham, 1. Imprint: Springer
2. 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 
MultiMedia Links
Please Click here for eBook
Circulation Data
Accession#  
Call#  Status  Issued To  Return Due On  Physical Location 
I09413 


On Shelf 




6.


Title  Consciousness and Science Fiction 
Author(s)  Broderick, Damien 
Publication  Cham, 1. Imprint: Springer
2. 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

Item Type  eBook 
MultiMedia Links
Please Click here for eBook
Circulation Data
Accession#  
Call#  Status  Issued To  Return Due On  Physical Location 
I09059 


On Shelf 




7.


Title  Analysis and DataBased Reconstruction of Complex Nonlinear Dynamical Systems : Using the Methods of Stochastic Processes 
Author(s)  Rahimi Tabar, M. Reza 
Publication  Cham, 1. Imprint: Springer
2. 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 
MultiMedia Links
Please Click here for eBook
Circulation Data
Accession#  
Call#  Status  Issued To  Return Due On  Physical Location 
I08774 


On Shelf 




8.


Title  Processes with LongRange Correlations : Theory and Applications 
Author(s)  Rangarajan, Govindan;Ding, Mingzhou 
Publication  Berlin, Heidelberg, 1. Imprint: Springer
2. 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 
MultiMedia Links
Please Click here for eBook
Circulation Data
Accession#  
Call#  Status  Issued To  Return Due On  Physical Location 
I11491 


On Shelf 




10.
 
Title  Epilepsy as a Dynamic Disease 
Author(s)  Milton, John;Jung, Peter 
Publication  Berlin, Heidelberg, 1. Imprint: Springer
2. Springer Berlin Heidelberg, 2003. 
Description  XXXII, 417 p : online resource 
Abstract Note  A "brain defibrillator" may be closer than we think. An epileptic seizure involves a paroxysmal change in the activity of millions of neurons. Feedback control of seizures would require an implantable device that could predict seizure occurrence and then deliver a stimulus to abort it. To examine the feasibility of building such a device, this text brings together experts in epilepsy, bioengineering, and dynamical systems theory. Topics include the development of epileptic systems, seizure prediction, neural synchronization, wave phenomena in excitable media, and the control of complex neural dynamics using brief electrical stimuli 
ISBN,Price  9783662050484 
Keyword(s)  1. Biological and Medical Physics, Biophysics
2. BIOLOGICAL PHYSICS
3. BIOMATHEMATICS
4. BIOPHYSICS
5. EBOOK
6. EBOOK  SPRINGER
7. MICROSCOPY
8. Neurology
9. Neurology??
10. Neurosciences
11. Physiological, Cellular and Medical Topics
12. SOLID STATE PHYSICS
13. SPECTROSCOPY
14. Spectroscopy and Microscopy

Item Type  eBook 
MultiMedia Links
Please Click here for eBook
Circulation Data
Accession#  
Call#  Status  Issued To  Return Due On  Physical Location 
I10539 


On Shelf 



 