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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 |
van Putten, Michel J.A.M |
Dynamics of Neural Networks |
I09626 |
2020 |
eBook |
|
| 5 |
Sawicki, Jakub |
Delay Controlled Partial Synchronization in Complex Networks |
I09413 |
2019 |
eBook |
|
| 6 |
Favre???Bulle, Itia Amandine |
Imaging, Manipulation and Optogenetics in Zebrafish |
I08752 |
2018 |
eBook |
|
| 7 |
Rangarajan, Govindan |
Processes with Long-Range Correlations |
I11491 |
2003 |
eBook |
|
| 8 |
Seager, William |
Natural Fabrications |
I08520 |
2012 |
eBook |
|
| 9 |
Cranford, Jerry L |
Astrobiological Neurosystems |
I08178 |
2015 |
eBook |
|
| 10 |
Hramov, Alexander E |
Wavelets in Neuroscience |
I07930 |
2015 |
eBook |
|
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1.
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| 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 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,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 |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I10320 |
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On Shelf |
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2.
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| Title | How Can Physics Underlie the Mind? : Top-Down 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 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,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 |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I10069 |
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On Shelf |
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4.
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| Title | Dynamics of Neural Networks : A Mathematical and Clinical Approach |
| Author(s) | van Putten, Michel J.A.M |
| Publication | Berlin, Heidelberg, Springer Berlin Heidelberg, 2020. |
| Description | XVII, 259 p. 138 illus., 40 illus. in color : online resource |
| Abstract Note | This book treats essentials from neurophysiology (Hodgkin???Huxley equations, synaptic transmission, prototype networks of neurons) and related mathematical concepts (dimensionality reductions, equilibria, bifurcations, limit cycles and phase plane analysis). This is subsequently applied in a clinical context, focusing on EEG generation, ischaemia, epilepsy and neurostimulation. The book is based on a graduate course taught by clinicians and mathematicians at the Institute of Technical Medicine at the University of Twente. Throughout the text, the author presents examples of neurological disorders in relation to applied mathematics to assist in disclosing various fundamental properties of the clinical reality at hand. Exercises are provided at the end of each chapter; answers are included. Basic knowledge of calculus, linear algebra, differential equations and familiarity with MATLAB or Python is assumed. Also, students should have some understanding of essentials of (clinical) neurophysiology, although most concepts are summarized in the first chapters. The audience includes advanced undergraduate or graduate students in Biomedical Engineering, Technical Medicine and Biology. Applied mathematicians may find pleasure in learning about the neurophysiology and clinic essentials applications. In addition, clinicians with an interest in dynamics of neural networks may find this book useful, too |
| ISBN,Price | 9783662611845 |
| Keyword(s) | 1. Applications of Nonlinear Dynamics and Chaos Theory
2. Biological and Medical Physics, Biophysics
3. BIOLOGICAL PHYSICS
4. Biomedical engineering
5. Biomedical Engineering and Bioengineering
6. BIOPHYSICS
7. EBOOK
8. EBOOK - SPRINGER
9. IMAGE PROCESSING
10. NEUROBIOLOGY
11. Neurology
12. Neurology??
13. SIGNAL PROCESSING
14. Signal, Image and Speech Processing
15. Speech processing systems
16. STATISTICAL PHYSICS
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I09626 |
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On Shelf |
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5.
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| 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 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,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 |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I09413 |
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On Shelf |
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6.
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| Title | Imaging, Manipulation and Optogenetics in Zebrafish |
| Author(s) | Favre???Bulle, Itia Amandine |
| Publication | Cham, Springer International Publishing, 2018. |
| Description | XVIII, 86 p. 49 illus., 23 illus. in color : online resource |
| Abstract Note | The work described here investigates the advantages and limitations of using laser light for the deep in-vivo illumination and micromanipulation of the neuronal system in zebrafish. To do so, it combines and develops novel optical methods such as optogenetics, light sheet microscopy and optical micromanipulation. It also demonstrates, for the first time, that directional and focused laser beams can successfully be used to target large objects at considerable depth in a living organism to exert purely optical force ??? in this case on otoliths (ear stones) ??? and create fictive vestibular stimuli in a stationary animal. The behavioural study and simultaneous imaging of the whole brain reveal the location of the brain cells specific to each ear stone. Elucidating these fundamental neural processes holds substantial value for basic neuroscience researchers, who still have only a vague grasp of how brain circuits mediate perception. As such, it represents highly innovative research that has already led to high-impact publications and is now being intensively pursued |
| ISBN,Price | 9783319962504 |
| Keyword(s) | 1. Biological and Medical Physics, Biophysics
2. BIOLOGICAL PHYSICS
3. BIOPHYSICS
4. EBOOK
5. EBOOK - SPRINGER
6. LASERS
7. NEUROBIOLOGY
8. Optics, Lasers, Photonics, Optical Devices
9. PHOTONICS
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I08752 |
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On Shelf |
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7.
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| Title | Processes with Long-Range 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 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,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 |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I11491 |
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On Shelf |
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9.
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| Title | Astrobiological Neurosystems : Rise and Fall of Intelligent Life Forms in the Universe |
| Author(s) | Cranford, Jerry L |
| Publication | Cham, Springer International Publishing, 2015. |
| Description | IX, 204 p. 87 illus., 68 illus. in color : online resource |
| Abstract Note | This book??explains why scientists believe that life may be more common in the Universe than previously considered possible.??It presents??the tools and strategies astronomers and astrobiologists are using in their formal search for habitable exoplanets as well as more advanced forms of life in other parts of our galaxy.??The author??then summarizes what is currently known about how and where organic molecules critical to our form of carbon-based life are manufactured. The core of the book explains (and presents educated guesses) how nervous systems evolved on Earth, how they work, and how they might work on other worlds. Combining his knowledge of neuroscience, computers, and astrobiology the author jumps into the discussion whether biological nervous systems are just the first step in the rise of intelligence in the Universe. The book ends with a description from both the psychologist???s and the neuroscientist???s viewpoints, exactly what it is about the fields of astrobiology and astronomy that ???boggles the minds??? of many amateur astronomers and interested non-scientists. This book stands out from other popular science books on astrobiology by making the point that ???astro-neurobiologists??? need to begin thinking about how alien nervous systems might work |
| ISBN,Price | 9783319104195 |
| Keyword(s) | 1. ASTROBIOLOGY
2. ASTRONOMY
3. BEHAVIORAL SCIENCES
4. EBOOK
5. EBOOK - SPRINGER
6. LIFE SCIENCES
7. NEUROBIOLOGY
8. Popular Life Sciences
9. Popular Science in Astronomy
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I08178 |
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On Shelf |
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10.
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| Title | Wavelets in Neuroscience |
| Author(s) | Hramov, Alexander E;Koronovskii, Alexey A;Makarov, Valeri A;Pavlov, Alexey N;Sitnikova, Evgenia |
| Publication | Berlin, Heidelberg, Springer Berlin Heidelberg, 2015. |
| Description | XVI, 318 p. 138 illus., 20 illus. in color : online resource |
| Abstract Note | This book examines theoretical and applied aspects of wavelet analysis in neurophysics, describing in detail different practical applications of the wavelet theory in the areas of neurodynamics and neurophysiology and providing a review of fundamental work that has been carried out in these fields over the last decade. Chapters 1 and 2 introduce and review the relevant foundations of neurophysics and wavelet theory, respectively, pointing on one hand to the various current challenges in neuroscience and introducing on the other the mathematical techniques of the wavelet transform in its two variants (discrete and continuous) as a powerful and versatile tool for investigating the relevant neuronal dynamics. Chapter 3 then analyzes results from examining individual neuron dynamics and intracellular processes. The principles for recognizing neuronal spikes from extracellular recordings and the advantages of using wavelets to address these issues are described and combined with approaches based on wavelet neural networks (chapter 4). The features of time-frequency organization of EEG signals are then extensively discussed, from theory to practical applications (chapters 5 and 6). Lastly, the technical details of automatic diagnostics and processing of EEG signals using wavelets are examined (chapter 7). The book will be a useful resource for neurophysiologists and physicists familiar with nonlinear dynamical systems and data processing, as well as for gradua te students specializing in the corresponding areas |
| ISBN,Price | 9783662438503 |
| Keyword(s) | 1. Applications of Graph Theory and Complex Networks
2. Applications of Nonlinear Dynamics and Chaos Theory
3. BIOMATHEMATICS
4. EBOOK
5. EBOOK - SPRINGER
6. IMAGE PROCESSING
7. NEUROBIOLOGY
8. PHYSICS
9. Physiological, Cellular and Medical Topics
10. SIGNAL PROCESSING
11. Signal, Image and Speech Processing
12. Speech processing systems
13. STATISTICAL PHYSICS
14. Systems biology
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I07930 |
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On Shelf |
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