Dong, H. W.
The Allen Reference Atlas
A Digital Color Brain Atlas of the C57BL/6J Male Mouse
（Allen 脳アトラス）
John Wiley & Sons 2008.1
376 pp.(P) with CD-Rom
ISBN 0-470-05408-5
22,800円
Contents
* This volume is a new, standard, full-colour, high-resolution brain atlas of C57BL/6J male mouse whose extensive images are enhanced by a hierarchically organized taxonomy of mouse brain structure.
* The Allen Atlas: A Digital Brain Atlas of C57BL/6J Male Mouse: ･ Contains the most frequently annotated coronal sections in the brain in unprecedented anatomical detail/ ･ Utilizes molecular markers distinctly captured in the online atlas database, refining the delineation of brain structures, and thereby lending a unique accuracy to the reference atlas/ ･ Features absolutely stunning image resolution/ ･ Every brain structure annotated in the atlas is assigned a distinct colour based on its hierarchical position in the brain.ﾊThis colour scheme not only provides the best visual effect to emphasize brain organisation, but also facilitates unique definition and segmentation./ ･ Available in print format (with CD-ROM), as four DVD set, and as comprehensive reference set/ *
Lajtha,A ＆ Jonson,D.ed.
Handbook of Neurochemistry and Molecular Neurobiology 3re ed.
Sensory Neurochemistry
Springer-Verlag 2007.
301 pp.(H)
ISBN 0-387-30349-9
31,200円
Contents
1.Multiple Representation In Primate is View from a Window on the Brain/ 2.Pain/ 3.Visual Transduction and Neurotransmission in Retina/ 4.Molecular Neurobiology of Retinal Development/ 5.Molecular Neurobiology of Retinal Degeneration/ 6.Audition/ 7.Neurochemistry of the Gustatory System/ 8.Neurochemistry of the Main Olfactory System/ 9.Oxygen Sensors/ 10.Ca Sensing/ 11.Glucose Sensing/ 12.Co2 Sensing or Chemoreception/ Index/ *
Monti, J. et al. ed.
Neurochemistry of Sleep and Wakefulness
Cambridge University Press 2008.2
506 pp.(H)
ISBN 0-521-86441-0
16,600円
Contents
Part.I: The neurochemistry of the states of sleep and wakefulness: 1. Neurochemistry of the preoptic hypothalamic hypnogenic mechanism/ 2. Neuroanatomical and neurochemical basis of wakefulness and REM sleep systems/ 3. Rapid eye movement sleep regulation by modulation of the noradrenergic system/ Part.II: The influence of neurotransmitters on sleep and wakefulness: 4. Gamma-aminobutyric acid and the regulation of paradoxical, or rapid eye movement, sleep/ 5. Acetylcholine modulates sleep and wakefulness: a synaptic perspective/ 6. Histamine in the control of sleep-wakefulness/ 7. Dopamine in behavioral state control/ 8. Glutamate neurotransmission and sleep/ 9., Serotonin and sleep-wake regulation/ Part.III: Changing perspectives: 10. Melatonin and its receptors: biological function in circadian sleep-wake regulation/ 11. Sleep regulatory factors/ 12. Adenosine and sleep-wake regulation/ 13. Prostaglandins and the regulation of sleep and wakefulness/ 14. Neuropeptides and sleep-wake regulation/ 15. Orexins in sleep and wakefulness: rodent models of narcolepsy-cataplexy/ 16. The relevance of experimental pharmacology to currently available sleep-wake therapeutics/ Index/ *
Cisek, P. et al. ed.
Computational Neuroscience
Theoretical Insights Into Brain Function
(Progress in Brain Research Vol.165)
Elsevier 2007.10
570 pp.(H)
ISBN 0-444-52823-7
29,100円
Contents
1.The neuronal transfer function: contributions from voltage and time-dependent mechanisms/ 2.A simple growth model constructs critical avalanche networks/ 3.The dynamics of visual responses in the primary visual cortex/ 4.A quantitative theory of immediate visual recognition/ 5.Attention in hierarchical models of object recognition/ 6.Towards a unified theory of neocortex: laminar cortical circuits for vision and cognition/ 7.Real-time neural coding of memory / 8.Beyond timing in the auditory brainstem: intensity in the avian cochlear nucleus angularis/ 9.Neural strategies for optimal processing of sensory signals/ 10.Coordinate transformations and sensory integration in the detection of spatial orientation and self-motion: from models to experiments/ 11.Sensorimotor optimization in higher dimensions/ 12.How tightly tuned are network parameters? Insight from computational and experimental studies in small rhythmic motor networks/ 13.Spatial organization and state-dependent mechanisms for respiratory rhythm and pattern generation/ 14.Modeling a vertebrate motor system pattern generation, steering and control of body orientation/ 15.Modeling the mammalian locomotor CPG: insights from mistakes and perturbations/ 16.The neuromechanical tuning hypothesis/ 17.Threshold position control and the principle of minimal interaction in motor actions/ 18.Modelling sensorimotor control of human upright stance/ 19.Dimensional reduction in sensorimotor systems: a framework for understanding muscle coordination of posture/ 20.Primitives, premotor drives and pattern generation: a combined computational and neuroethological perspective/ 22.How is somatosensory information used to adapt to changes in the mechanical environment?/ 23.Trial-by-trial motor adaptation: a window into elemental neural computation/ 24.Towards a computational neuropsychology of action/ 25.Motor control in a meta-network with attractor dynamics/ 26.Computing movement geometry a step in sensory-motor transformations/ 27.Dynamics systems versus optimal control a unifying view / 28.The place of ?codes? in nonlinear neurodynamics/ 29.From a representation of behaviour to the concept of cognitive syntax: a theoretical framework / 30.A parallel framework for interactive behaviour/ 31.Statistical models for neural encoding, decoding, and optimal stimulus design/ 32.Probabilistic population codes and the exponential family of distributions/ 33.On the challenge of learning complex functions/ 34.To recognize shapes, first learn to generate images/ index/ *
Puelles, L. et al.
The Chick Brain in Stereotaxic Coodinates
An Atlas featuring Neuromeric Subdivisions and Mammalian Homologies
Academic Press 2007.7
272 pp. (H)
ISBN 0-12-566651-9
22,000円
Contents
* The chicken is the standard model for avian and vertebrate brain anatomy, particularly in development. The Chick Brain in Stereotaxic Coordinates contains 200 coronal plates and diagrams, 40 sagittal plates and diagrams, and 20 horizontal plates and diagrams, illustrated in stereotaxic coordinates. This book is essential for anyone studying the physiology and function of the chick brain. *
Verkhratsky, A. & Butt , A.
Glial Neurobiology
グリア神経生物学
John Wiley & Sons 2007.8
230 pp.(P)
ISBN 0-470-51740-9
7,800円
Contents
Part I. Physiology of Glia: 1. Introduction to Glia/ 2. General Overview of Signalling in the Nervous System/ 3. Morphology of Glial Cells/ 4. Glial Development/ 5. General Physiology of Glial Cells/ 6. Neuronal-Glial Interactions/ Part II. Glial Cells and Function of Nervous System: 7. Astrocytes/ 8. Oligodendrocytes, Schwann Cells and Myelination/ Part III. Glia and Pathology of Nervous System: 9. General Pathophysiology of Glia/ 10. Glia and Diseases of the Nervous System/ Conclusions/ Recommended literature/ Index/ *
Chen, Z. et al.
Correlative Learning
A Basis for Brain and Adaptive Systems
（相関学習 - 脳と適応システムの基本）
John Wiley & Sons 2007.10
480 pp.(H)
ISBN 0-470-04488-8
16,200円
Contents
PART.1. The Correlative Brain: 1.1 Background/ 1.2 Correlation Detection in Single Neurons/ 1.3 Correlation in Ensembles of Neurons: Synchrony and Population Coding/ 1.4 Correlation is the Basis of Novelty Detection and Learning/ 1.5 Correlation in Sensory Systems: Coding, Perception, and Development/ 1.6 Correlation in Memory Systems/ 1.7 Correlation in Sensory-Motor Learning/ 1.8 Correlation, Feature Binding, and Attention/ 1.9 Correlation and Cortical Map Changes after Peripheral Lesions and Brain Stimulation/ 1.10 Discussion/ PART.2. Correlation in Signal Processing: 2.1 Correlation and Spectrum Analysis/ 2.2 Wiener Filter/ 2.3 Least-Mean-Square Filter/ 2.4 Recursive Least-Squares Filter/ 2.5 Matched Filter/ 2.6 Higher Order Correlation-Based Filtering/ 2.7 Correlation Detector/ 2.8 Correlation Method for Time-Delay Estimation/ 2.9 Correlation-Based Statistical Analysis/ 2.10 Discussion/ Appendix: Eigenanalysis of Autocorrelation Function of Nonstationary Process/ Appendix: Estimation of the Intensity and Correlation Functions of Stationary Random Point Process/ Appendix: Derivation of Learning Rules with Quasi-Newton Method/ PART.3. Correlation-Based Neural Learning and Machine Learning: 3.1 Correlation as a Mathematical Basis for Learning/ 3.2 Information-Theoretic Learning/ 3.3 Correlation-Based Computational Neural Models/ Appendix: Mathematical Analysis of Hebbian Learning/ Appendix: Necessity and Convergence of Anti-Hebbian Learning/ Appendix: Link Between the Hebbian Rule and Gradient Descent/ Appendix: Reconstruction Error in Linear and Quadratic PCA/ PART.4. Correlation-Based Kernel Learning: 4.1 Background/ 4.2 Kernel PCA and Kernelized GHA/ 4.3 Kernel CCA and Kernel ICA/ 4.4 Kernel Principal Angles/ 4.5 Kernel Discriminant Analysis/ 4.6 KernelWiener Filter/ 4.7 Kernel-Based Correlation Analysis: Generalized Correlation Function and Correntropy/ 4.8 Kernel Matched Filter/ 4.9 Discussion/ PART.5. Correlative Learning in a Complex-Valued Domain: 5.1 Preliminaries/ 5.2 Complex-Valued Extensions of Correlation-Based Learning/ 5.3 Kernel Methods for Complex-Valued Data/ 5.4 Discussion/ PART.6. ALOPEX: A Correlation-Based Learning Paradigm: 6.1 Background/ 6.2 The Basic ALOPEX Rule/ 6.3 Variants of the ALOPEX Algorithm/ 6.4 Discussion/ 6.5 Monte Carlo Sampling-Based ALOPEX Algorithms/ Appendix: Asymptotical Analysis of the ALOPEX Process/ Appendix: Asymptotic Convergence Analysis of the 2t-ALOPEX Algorithm/ PART.7. Case Studies: 7.1 Hebbian Competition as the Basis for Cortical Map Reorganization?/ 7.2 Learning Neurocompensator: A Model-Based Hearing Compensation Strategy/ 7.3 Online Training of Artificial Neural Networks/ 7.4 Kalman Filtering in Computational Neural Modeling/ PART.8. Discussion: 8.1 Summary: Why Correlation?/ 8.2 Epilogue: What Next?/ Appendix A: Autocorrelation and Cross-correlation Functions/ Appendix B: Stochastic Approximation/ Appendix C: A Primer on Linear Algebra/ Appendix D: Probability Density and Entropy Estimators/ Appendix E: EM Algorithm/ Topic Index/
＊ Correlative Learning: A Basis for Brain and Adaptive Systems provides a bridge between three disciplines: computational neuroscience, neural networks, and signal processing. First, the authors lay down the preliminary neuroscience background for engineers. The book also presents an overview of the role of correlation in the human brain as well as in the adaptive signal processing world; unifies many well-established synaptic adaptations (learning) rules within the correlation-based learning framework, focusing on a particular correlative learning paradigm, ALOPEX; and presents case studies that illustrate how to use different computational tools and ALOPEX to help readers understand certain brain functions or fit specific engineering applications. *
Sanei, S. & Chambers, J. A.
EEG Signal Processing
EEG信号処理
John Wiley & Sons 2007.9
312 pp. (H)
ISBN 0-470-02581-6
17,000円
Contents
Preface / List of Abbreviations / List of Symbols / 1 Introduction to EEG / 2 Fundamentals of EEG Signal Processing / 3 Event-Related Potentials / 4 Seizure Signal Analysis / 5 EEG Source Localization / 6 Sleep EEG / 7 Brain Computer Interfacing / Index / *
* Developing and understanding advanced signal processing techniques for the analysis of EEG signals is crucial in the area of biomedical research. This book focuses on these techniques, providing expansive coverage of algorithms and tools from the field of digital signal processing. It discusses their applications to medical data, using graphs and topographic images to show simulation results that assess the efficacy of the methods. *
701-37 登録日 08.03.22
