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Author | Title | Accn# | Year | Item Type | Claims |
1 |
Dada, Michael O |
Computational Molecular Magnetic Resonance Imaging for Neuro-oncology |
I11773 |
2021 |
eBook |
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2 |
Tinker-Mill, Claire Louisa |
Nanoscale Imaging and Characterisation of Amyloid-?? |
I10361 |
2016 |
eBook |
|
3 |
van Putten, Michel J.A.M |
Dynamics of Neural Networks |
I09626 |
2020 |
eBook |
|
4 |
Im, Chang-Hwan |
Computational EEG Analysis |
I08859 |
2018 |
eBook |
|
5 |
Haken, Hermann |
Brain Dynamics |
I11179 |
2002 |
eBook |
|
6 |
Milton, John |
Epilepsy as a Dynamic Disease |
I10539 |
2003 |
eBook |
|
7 |
Cvetkovic, Dean |
States of Consciousness |
I07632 |
2011 |
eBook |
|
8 |
Graimann, Bernhard |
Brain-Computer Interfaces |
I07187 |
2010 |
eBook |
|
9 |
Allison, Brendan Z |
Towards Practical Brain-Computer Interfaces |
I07180 |
2013 |
eBook |
|
10 |
Phaf, R.H |
Learning in Natural and Connectionist Systems |
I05234 |
1994 |
eBook |
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1.
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Title | Computational Molecular Magnetic Resonance Imaging for Neuro-oncology |
Author(s) | Dada, Michael O;Awojoyogbe, Bamidele O |
Publication | Cham, Springer International Publishing, 2021. |
Description | XXXI, 389 p. 117 illus., 109 illus. in color : online resource |
Abstract Note | Based on the analytical methods and the computer programs presented in this book, all that may be needed to perform MRI tissue diagnosis is the availability of relaxometric data and simple computer program proficiency. These programs are easy to use, highly interactive and the data processing is fast and unambiguous. Laboratories (with or without sophisticated facilities) can perform computational magnetic resonance diagnosis with only T1 and T2 relaxation data. The results have motivated the use of data to produce data-driven predictions required for machine learning, artificial intelligence (AI) and deep learning for multidisciplinary and interdisciplinary research. Consequently, this book is intended to be very useful for students, scientists, engineers, the medial personnel and researchers who are interested in developing new concepts for deeper appreciation of computational magnetic Resonance Imaging for medical diagnosis, prognosis, therapy and management of tissue diseases |
ISBN,Price | 9783030767280 |
Keyword(s) | 1. Applications of Mathematics
2. BIOPHYSICS
3. Cancer Imaging
4. Cancer???Imaging
5. EBOOK
6. EBOOK - SPRINGER
7. Magnetic Resonance (NMR, EPR)
8. MATHEMATICS
9. Neurology
10. Neurology??
11. NUCLEAR MAGNETIC RESONANCE
12. ONCOLOGY
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Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
I11773 |
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On Shelf |
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2.
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Title | Nanoscale Imaging and Characterisation of Amyloid-?? |
Author(s) | Tinker-Mill, Claire Louisa |
Publication | Cham, Springer International Publishing, 2016. |
Description | XX, 149 p. 59 illus., 14 illus. in color : online resource |
Abstract Note | This thesis presents a method for reliably and robustly producing samples of amyloid-?? (A??) by capturing them at various stages of aggregation, as well as the results of subsequent imaging with various atomic force microscopy (AFM) methods, all of which add value to the data gathered by collecting information on the peptide???s nanomechanical, elastic, thermal or spectroscopical properties. Amyloid-?? (A??) undergoes a hierarchy of aggregation following a structural transition, making it an ideal subject of study using scanning probe microscopy (SPM), dynamic light scattering (DLS) and other physical techniques. By imaging samples of A?? with Ultrasonic Force Microscopy, a detailed substructure to the morphology is revealed, which correlates well with the most advanced cryo-EM work. Early stage work in the area of thermal and spectroscopical AFM is also presented, and indicates the promise these techniques may hold for imaging sensitive and complex biological materials. This thesis demonstrates that physical techniques can be highly complementary when studying the aggregation of amyloid peptides, and allow the detection of subtle differences in their aggregation processes |
ISBN,Price | 9783319395340 |
Keyword(s) | 1. Amorphous substances
2. Complex fluids
3. EBOOK
4. EBOOK - SPRINGER
5. MICROSCOPY
6. MOLECULAR BIOLOGY
7. Molecular Medicine
8. NANOTECHNOLOGY
9. Neurology
10. Neurology??
11. Soft and Granular Matter, Complex Fluids and Microfluidics
12. SPECTROSCOPY
13. Spectroscopy and Microscopy
|
Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
I10361 |
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On Shelf |
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3.
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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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4.
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Title | Computational EEG Analysis : Methods and Applications |
Author(s) | Im, Chang-Hwan |
Publication | Singapore, Springer Singapore, 2018. |
Description | XII, 228 p. 59 illus., 36 illus. in color : online resource |
Abstract Note | This book introduces and reviews all of the currently available methods being used for computational electroencephalogram (EEG) analysis, from the fundamentals through to the state-of-the-art. The aim of the book is to help biomedical engineers and medical doctors who use EEG to better understand the methods and applications of computational EEG analysis from a single, well-organized resource. Following a brief introduction to the principles of EEG and acquisition techniques, the book is divided into two main sections. The first of these covers analysis methods, beginning with preprocessing, and then describing EEG spectral analysis, event-related potential analysis, source imaging and multimodal neuroimaging, and functional connectivity analysis. The following section covers application of EEG analysis to specific fields, including the diagnosis of psychiatric diseases and neurological disorders, brain-computer interfacing, and social neuroscience. Aimed at practicing medical specialists, engineers, researchers and advanced students, the book features contributions from world-renowned biomedical engineers working across a broad spectrum of computational EEG analysis techniques and EEG applications |
ISBN,Price | 9789811309083 |
Keyword(s) | 1. Biomedical engineering
2. Biomedical Engineering and Bioengineering
3. Computational Science and Engineering
4. Computer mathematics
5. EBOOK
6. EBOOK - SPRINGER
7. Imaging / Radiology
8. Medical and Radiation Physics
9. Medical physics
10. Neurology
11. Neurology??
12. RADIATION
13. Radiology
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Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
I08859 |
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On Shelf |
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6.
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Title | Epilepsy as a Dynamic Disease |
Author(s) | Milton, John;Jung, Peter |
Publication | Berlin, Heidelberg, 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, bio-engineering, 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 |
Multi-Media Links
Please Click here for eBook
Circulation Data
Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
I10539 |
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On Shelf |
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7.
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Title | States of Consciousness : Experimental Insights into Meditation, Waking, Sleep and Dreams |
Author(s) | Cvetkovic, Dean;Cosic, Irena |
Publication | Berlin, Heidelberg, Springer Berlin Heidelberg, 2011. |
Description | X, 282 p : online resource |
Abstract Note | In this accessible overview of current knowledge, an expert team of editors and authors describe experimental approaches to consciousness. These approaches are shedding light on some of the hitherto unknown aspects of the??distinct states of human consciousness, including the waking state, different states of sleep and dreaming, meditation and more. The book presents the latest research studies by the contributing authors, whose specialities span neuroscience, neurology, biomedical engineering, clinical psychology and psychophysiology, psychosocial medicine and anthropology.??Overall this anthology??provides the reader with a clear picture of how??different states of consciousness can be defined, experimentally measured and analysed.??A future byproduct of this knowledge may be??anticipated in??the development of systematic corrective treatments for many disorders and pathological problems of consciousness |
ISBN,Price | 9783642180477 |
Keyword(s) | 1. ANTHROPOLOGY
2. Biomedical engineering
3. Biomedical Engineering and Bioengineering
4. Clinical psychology
5. EBOOK
6. EBOOK - SPRINGER
7. Laboratory medicine
8. Neurology
9. Neurology??
10. Neurosciences
|
Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
I07632 |
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On Shelf |
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8.
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Title | Brain-Computer Interfaces : Revolutionizing Human-Computer Interaction |
Author(s) | Graimann, Bernhard;Allison, Brendan Z;Pfurtscheller, Gert |
Publication | Berlin, Heidelberg, Springer Berlin Heidelberg, 2010. |
Description | XIV, 393 p : online resource |
Abstract Note | A brain-computer interface (BCI) establishes a direct output channel between the human brain and external devices. BCIs infer user intent via direct measures of brain activity and thus enable communication and control without movement. This book, authored by experts in the field, provides an accessible introduction to the neurophysiological and signal-processing background required for BCI, presents state-of-the-art non-invasive and invasive approaches, gives an overview of current hardware and software solutions, and reviews the most interesting as well as new, emerging BCI applications. The book is intended not only for students and young researchers, but also for newcomers and other readers from diverse backgrounds keen to learn about this vital scientific endeavour |
ISBN,Price | 9783642020919 |
Keyword(s) | 1. Biomedical engineering
2. Biomedical Engineering and Bioengineering
3. CIRCUITS AND SYSTEMS
4. EBOOK
5. EBOOK - SPRINGER
6. ELECTRONIC CIRCUITS
7. NEUROBIOLOGY
8. Neurology
9. Neurology??
10. Neurosciences
11. Neurosurgery
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Item Type | eBook |
Multi-Media Links
Please Click here for eBook
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Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
I07187 |
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On Shelf |
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9.
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Title | Towards Practical Brain-Computer Interfaces : Bridging the Gap from Research to Real-World Applications |
Author(s) | Allison, Brendan Z;Dunne, Stephen;Leeb, Robert;Del R. Mill??n, Jos??;Nijholt, Anton |
Publication | Berlin, Heidelberg, Springer Berlin Heidelberg, 2013. |
Description | XXIV, 412 p : online resource |
Abstract Note | Brain-computer interfaces (BCIs) are devices that??enable people to??communicate via thought alone. Brain signals can be directly translated into messages or commands. Until recently, these devices were used primarily to help people who could not move. However, BCIs are now becoming practical tools for a wide variety of people, in many different situations. What will BCIs in the future be like? Who will use them, and why? This book, written by many of the top BCI researchers and developers, reviews the latest progress in the different components of BCIs. Chapters also discuss practical issues in an emerging BCI enabled community. The book is intended both for professionals and for interested laypeople who are not experts in BCI research |
ISBN,Price | 9783642297465 |
Keyword(s) | 1. Biomedical engineering
2. Biomedical Engineering and Bioengineering
3. EBOOK
4. EBOOK - SPRINGER
5. NEUROBIOLOGY
6. Neurology
7. Neurology??
8. Special Purpose and Application-Based Systems
9. Special purpose computers
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Item Type | eBook |
Multi-Media Links
Please Click here for eBook
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Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
I07180 |
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On Shelf |
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10.
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Title | Learning in Natural and Connectionist Systems : Experiments and a Model |
Author(s) | Phaf, R.H |
Publication | Dordrecht, Springer Netherlands, 1994. |
Description | XVI, 294 p : online resource |
Abstract Note | Modern research in neural networks has led to powerful artificial learning systems, while recent work in the psychology of human memory has revealed much about how natural systems really learn, including the role of unconscious, implicit, memory processes. Regrettably, the two approaches typically ignore each other. This book, combining the approaches, should contribute to their mutual benefit. New empirical work is presented showing dissociations between implicit and explicit memory performance. Recently proposed explanations for such data lead to a new connectionist learning procedure: CALM (Categorizing and Learning Module), which can learn with or without supervision, and shows practical advantages over many existing procedures. Specific experiments are simulated by a network model (ELAN) composed of CALM modules. A working memory extension to the model is also discussed that could give it symbol manipulation abilities. The book will be of interest to memory psychologists and connectionists, as well as to cognitive scientists who in the past have tended to restrict themselves to symbolic models |
ISBN,Price | 9789401108409 |
Keyword(s) | 1. COMPLEX SYSTEMS
2. DYNAMICAL SYSTEMS
3. EBOOK
4. EBOOK - SPRINGER
5. Methodology of the Social Sciences
6. Neurology
7. Neurology??
8. SOCIAL SCIENCES
9. STATISTICAL PHYSICS
10. Statistical Physics and Dynamical Systems
11. SYSTEM THEORY
12. Systems Theory, Control
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Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
I05234 |
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On Shelf |
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