%{search_type} search results

• SECTION 1: NUMBER
• SECTION 2: VOLUME
• SECTION 3: LENGTH
• SECTION 4: SECOND ORDER STEREOLOGY
• SECTION 5: CELL CULTURE.
• (source: Nielsen Book Data)

Stereology is a valuable tool for neuroscientists, allowing them to obtain 3-Dimensional information from 2-Dimensional measurements made on appropriately sampled sections (usually obtained from histological sections or MRI/CT/PET scans). This 3-D information is invaluable in correlating structural/functional relationships in the pursuit of far greater understanding of the function of the central nervous system. However, in carrying out such measurements, often based on limited data sets, there is a risk of experimenter bias. An important feature of modern design based stereology is to be aware of potential sources of bias and eliminate them during the data collection. With many of the major neuroscience journals now insisting that quantitative data be presented, there is a greater need than ever for neuroscientists to understand the theory and practice behind quantitative methods, such as those offered by stereology. Quantitative Methods in Neuroscience is a cookbook of stereological methods written especially for neuroscientists. It provides clear and accessible advice about when and when not to use stereology. Throughout the book, the emphasis is on practical guidance, rather than discussions and formulae. Written by leading scientists in the field of stereology, with a Foreword by D.C. Sterio, the book will be a valuable introduction to these methods for neuroscientists, and all those involved in development of new drug programmes.
(source: Nielsen Book Data)

• 1. Organization of the Nervous System
• 2. Orientational Terminology
• 3. Meninges and Ventricular System
• 4. Nerve Roots and Rami
• 5. Brachial Plexus
• 6. Median Nerve
• 7. Ulnar Nerve
• 8. Radial Nerve
• 9. Lumbasocral Plexus
• 10. Sciatic Nerve
• 11. Femoral Nerve
• 12. Cervical Plexus
• 13. Sensory Maps of the Body
• 14. Peripheral Autonomic Nervous System
• 15. Spinal Cord Structure
• 16. Spinal Cord
• 17. Reflex Loops and Muscle Tone
• 18. Brainstem
• 19. Cranial and Spinal Nerve Overview
• 20. Somatomotor Cranial Nerves
• 21. Pharyngeal Arch Cranial Nerves
• 22. Vestibular System
• 23. Skull Base
• 24. Cerebellum
• 25. Cerebrum
• 26. White Matter Pathways
• 27. Basal Ganglia
• 28. Aterial Supply to the Central Nervous System
• 29. Thalamus
• 30. Hypothalamus
• 31. Limbic System
• 32. Olfactory System
• 33. Visual Pathways
• 34. Eye Movements
• 35. Central Auditory Pathways
• 36. Language
• 37. Memory
• 38. Apraxia
• 39. Sleep Neurocircuitry
• References
• Index.
• (source: Nielsen Book Data)

"If you can't draw it, you don't know it:" that was the rule of the late neuroanatomist William DeMyer, MD. Yet books do not encourage us to draw and redraw neuroanatomy. Neuroanatomy: Draw It to Know It teaches neuroanatomy through step-by-step instruction of how to draw neuroanatomical pathways and structures. Its instructive language is highly engaging. Users draw neuroanatomical structures and pathways in several steps so they are remembered and use mental and physical mnemonics to demonstrate difficult anatomical rotations and directional pathways. Anatomical pictures and radiographic images accompany the diagrams to clarify spatially challenging features; relevant synonyms are listed to avoid inter-text confusion; inconsistencies in the neuroanatomy literature are highlighted to mitigate frustration; and historical and current accounts of neuroanatomical systems are presented for perspective. Many neuroanatomy textbooks are great references, but fail to provide a working knowledge of neuroanatomy, and many neuroanatomy handbooks provide bedside pearls, but are too concise to be fully satisfactory. This instructional workbook teaches a comprehensive, but practical approach to neuroanatomy; it includes references where necessary but steers users toward key clinical features. Most importantly, Neuroanatomy: Draw It to Know It instructs the reader to draw and redraw the anatomy and teaches an active approach to learning.
(source: Nielsen Book Data)

• Foreword to the First Edition
• by Martin A. Samuels Preface Chapter 1: Introduction to Neuroanatomy Chapter 2: The Peripheral Nervous System Chapter 3: Neuromuscular Innervation Chapter 4: Cerebral Vasculature, CSF, & Meninges Chapter 5: The Autonomic Nervous System Chapter 6: The Spinal Cord & Spine Chapter 7: The Brainstem & Cranial Nerves Chapter 8: Cranial Neuropathies & Brainstem Syndromes Chapter 9: The Special Senses: Vision, Audition, and Olfaction Chapter 10: The Cerebrum, Cerebellum, & Cognitive Disorders Chapter 11: The Diencephalon, Basal Ganglia, & Limbic System.
• (source: Nielsen Book Data)

Neuroanatomy: Draw It to Know It, Third Edition teaches neuroanatomy in a purely kinesthetic way. In using this book, the reader draws each neuroanatomical pathway and structure, and in the process, creates memorable and reproducible schematics for the various learning points in Neuroanatomy in a hands-on, enjoyable and highly effective manner. In addition to this unique method, Neuroanatomy: Draw It to Know It also provides a remarkable repository of reference materials, including numerous anatomic and radiographic brain images and illustrations from many other classic texts to enhance the learning experience. In the third edition of this now-classic text, the author completely reorganized the book based on user-feedback, taking a more intuitive and easy-to-use approach. For the first time, the illustrations are in full color. No other text in neuroanatomy engages the reader in as direct a manner as this book and none covers the advanced level of detail found while retaining the simplistic approach to the learning which has become the cornerstone of the text. Neuroanatomy: Draw It to Know It is singular in its ability to engage and instruct without overwhelming any level of neuroanatomy student.
(source: Nielsen Book Data)

• Introduction
• Deformation-Based Morphometry
• Voxel-Based Morphometry
• Tensor-Based Morphometry
• Diffusion Tensor Images
• Geometry of Cortical Manifolds
• Smoothing on Cortical Manifolds
• Fourier Representation
• Spherical Harmonic Representation
• Structural Connectivity
• Topological Characterization of Brain Structures.
• (source: Nielsen Book Data)

Computational neuroanatomy is an emerging field that utilizes various non-invasive brain imaging modalities, such as MRI and DTI, in quantifying the spatiotemporal dynamics of the human brain structures in both normal and clinical populations. This discipline emerged about twenty years ago and has made substantial progress in the past decade. The main goals of this book are to provide an overview of various mathematical, statistical and computational methodologies used in the field to a wide range of researchers and students, and to address important yet technically challenging topics in further detail.
(source: Nielsen Book Data)

• Brain Structure
• Brain Architecture for an Intelligent Stream of Consciousness
• Circuit Elements Required for Neural Systems
• Long-Term Memory, Simulated Qubits, Physical Qubits
• Outline of a Cue Editor
• Plans for a Recall Referee
• Arithmetic Using Simulated Qubits
• Long-Term Memory Neural Circuits, Fast and Precise
• Neuroquantology, the Ultimate Quest
• The Phase of the "1"
• Postscript.

Brain Theory From A Circuits And Systems Perspective offers a theory of human consciousness as a natural result of pulsating neurons and synapses within a complex circuit. The book summarizes the electrical, as opposed to the chemical, nature of a brain, and so moves away from customary molecular biology- and biochemistry-focused explanations for consciousness. The book goes beyond the usual structures of artificial neural networks; employing first principles, a particular physical system is synthesized for conscious short term memory, as well as for associative (subconsciously edited) long term memory. It pursues the search for deeper computational power: Where ordinary concepts of logic fail to explain inspired choices concerning artistic appraisal, truth judgment, and understanding, pulsating qubit logic unleashes a fresh avenue for connectivity. Neuroquantology is discussed, including electron tunneling as a regulator of neural actions, and proposed quantum computing within microtubules. This thought provoking work led the author to reveal neurons with qubit properties, or simulated qubits. Simulated qubits do not require a coherent quantum system, and so remain robust for massively parallel controlled toggling and probabilistic computations. Brain Theory From A Circuits And Systems Perspective is supported with physical circuit examples, end-of-chapter exercises, and neuron simulation experiments, and will be valuable to anyone interested in neuro-circuits, neuro-systems and qubits.

"The Limits of Dream" focuses on what we currently know of the human central nervous system (CNS), examining the basic sciences of neurochemisty, neuroanatomy, and CNS electrophysiology as these sciences apply to dream, then reaching beyond basic science to examine the cognitive science of dreaming including the processes of memory, the perceptual interface, and visual imagery. Building on what is known of intrapersonal CNS processing, the book steps outside the physical body to explore artificially created dreams and their use in filmmaking, art and story, as well as the role of dreaming in creative process and creative 'madness'. The limits of our scientific knowledge of dream frame this window that can be used to explore the border between body and mind. What is known scientifically of the cognitive process of dreaming will lead the neuroscientist, the student of cognitive science, and the general reader down different paths than expected into an exploration of the fuzzy and complex horizon between mind and brain. This is the clearest presentation of research and philosophy currently available relating to the mind/brain interface. It discusses the cognitive processes of dreaming utilized in film and artificial intelligence. It describes the functioning of dream in creative process.
(source: Nielsen Book Data)

• Introduction
• Deformation-Based Morphometry
• Voxel-Based Morphometry
• Tensor-Based Morphometry
• Diffusion Tensor Images
• Geometry of Cortical Manifolds
• Smoothing on Cortical Manifolds
• Fourier Representation
• Spherical Harmonic Representation
• Structural Connectivity
• Topological Characterization of Brain Structures.
• (source: Nielsen Book Data)

Computational neuroanatomy is an emerging field that utilizes various non-invasive brain imaging modalities, such as MRI and DTI, in quantifying the spatiotemporal dynamics of the human brain structures in both normal and clinical populations. This discipline emerged about twenty years ago and has made substantial progress in the past decade. The main goals of this book are to provide an overview of various mathematical, statistical and computational methodologies used in the field to a wide range of researchers and students, and to address important yet technically challenging topics in further detail.
(source: Nielsen Book Data)

• Short Retrospection.- Preembedding Immunoelectron Microscopy: Applications for Studies of the Nervous System.- Postembedding Immunogold Cytochemistry of Membrane Molecules and Amino Acid Transmitters in the Central Nervous System.- Cell and Tissue Microdis
• section in Combination with Genomic and Proteomic Applications.- Molecules and Membrane Activity: Single-Cell RT-PCR and Patch-Clamp Recording from Central Neurons.- Merging Structure and Function: Combination of In Vivo Extracellular and Intracellular Electrophysiological Recordings with Neuroanatomical Techniques.- Juxtacellular Labeling of Individual Neurons In Vivo: From Electrophysiology to Synaptology.- Nonradioactive In Situ Hybridization in Combination with Tract-Tracing.- Viral Tracers for the Analysis of Neural Circuits.- Dextran Amines: Versatile Tools for Anterograde and Retrograde Studies of Nervous System Connectivity.- Multiple Neuroanatomical Tract-Tracing: Approaches for Multiple Tract-Tracing.- Tract-Tracing in Developing Systems and in Postmortem Human Material Using Carbocyanine Dyes.- Combined Fluorescence Methods to Determine Synapses in the Light Microscope: Multilabel Confocal Laser Scanning Microscopy.- Advances in Understanding Cortical Function Through Combined Voltage-Sensitive Dye Imaging, Whole-Cell Recordings, and Analysis of Cellular Morphology.- From Dendrites to Networks: Optically Probing the Living Brain Slice and Using Principal Component Analysis to Characterize Neuronal Morphology.- Stereology of Neural Connections: An Overview.- Three-Dimensional Computerized Reconstruction from Serial Sections: Cell Populations, Regions, and Whole Brain.- Atlases of the Human Brain: Tools for Functional Neuroimaging.- Neuron and Network Modeling.- Functional Connectivity of the Brain: Reconstruction from Static and Dynamic Data.
• (source: Nielsen Book Data)

The first two editions of this title had a tremendous impact in neuroscience. Between the Second edition in 1989 and today, there has been an explosion of information in the field, including advances in molecular techniques, such as genomics and proteomics, which have become increasing important in neuroscience. A renaissance in fluorescence has occurred, driven by the development of new probes, new microscopes, live imagers, and computer processing. The introduction of new markers has enormously stimulated the field, moving it from tissue culture to neurophysiology to functional MRI techniques.
(source: Nielsen Book Data)

• Chapter 1: General Organization
• Chapter 2: Meninges and Ventricular System
• Chapter 3: Peripheral Nervous System - Upper Extremity
• Chapter 4: Peripheral Nervous System - Lower Extremity
• Chapter 5: Peripheral Nervous System - Sensory Maps
• Chapter 6: Peripheral Nervous System - Autonomic Nervous System
• Chapter 7: Spinal Cotr
• Chapter 8: Spinal Canal and Muscle-Nerve Physiology
• Chapter 9: Brainstem - Part One
• Chapter 10: Brainstem - Part Two
• Chapter 11: Cranial and Spinal Nerve Overview and Skull Base
• Chapter 12: Cranial Nerves, 3, 4, 6, 12
• Chapter 13: Cranial Nerves, 5, 7, 9, 10
• Chapter 14: Vestibular and Auditory Systems
• Chapter 15: Cerebellum
• Chapter 16: Cerebral Gray Matter
• Chapter 17: Cerebral White Matter
• Chapter 18: Basal Ganglia
• Chapter 19: Arterial Supply
• Chapter 20: Diencephalon
• Chapter 21: Limbic and Olfactory Systems
• Chapter 22: Vision
• Chapter 23: Eye movements
• Chapter 24: Cognition
• Chapter 25: Sleep and Wakefulness
• Index.
• (source: Nielsen Book Data)

Neuroanatomy: Draw It to Know It, Second Edition teaches neuroanatomy in a purely kinesthetic way. In using this book, the reader draws each neuroanatomical pathway and structure, and in the process, creates memorable and reproducible schematics for the various learning points in Neuroanatomy in a hands-on, enjoyable and highly effective manner. In addition to this unique method, Neuroanatomy: Draw it to Know It also provides a remarkable repository of reference materials, including numerous anatomic and radiographic brain images, muscle-testing photographs, and illustrations from many other classic texts, which enhance the learning experience. In the second edition of this new classic, the Second Edition adds "Know-It" points to each chapter, providing high yield learning methods which separate the essential from the advanced topics. No other text in neuroanatomy engages the reader in as direct a manner as this book and none covers the advanced level of detail found while retaining the simplistic approach to the learning which has become the cornerstone of the text. Neuroanatomy: Draw It to Know It is singular in its ability to engage and instruct without overwhelming any level of neuroanatomy student. The most effective model for learning neuroanatomy is Neuroanatomy: Draw It to Know It.
(source: Nielsen Book Data)

• 1. Organization of the Nervous System
• 2. Orientational Terminology
• 3. Meninges and Ventricular System
• 4. Nerve Roots and Rami
• 5. Brachial Plexus
• 6. Median Nerve
• 7. Ulnar Nerve
• 8. Radial Nerve
• 9. Lumbasocral Plexus
• 10. Sciatic Nerve
• 11. Femoral Nerve
• 12. Cervical Plexus
• 13. Sensory Maps of the Body
• 14. Peripheral Autonomic Nervous System
• 15. Spinal Cord Structure
• 16. Spinal Cord
• 17. Reflex Loops and Muscle Tone
• 18. Brainstem
• 19. Cranial and Spinal Nerve Overview
• 20. Somatomotor Cranial Nerves
• 21. Pharyngeal Arch Cranial Nerves
• 22. Vestibular System
• 23. Skull Base
• 24. Cerebellum
• 25. Cerebrum
• 26. White Matter Pathways
• 27. Basal Ganglia
• 28. Aterial Supply to the Central Nervous System
• 29. Thalamus
• 30. Hypothalamus
• 31. Limbic System
• 32. Olfactory System
• 33. Visual Pathways
• 34. Eye Movements
• 35. Central Auditory Pathways
• 36. Language
• 37. Memory
• 38. Apraxia
• 39. Sleep Neurocircuitry
• References
• Index.
• (source: Nielsen Book Data)

"If you can't draw it, you don't know it:" that was the rule of the late neuroanatomist William DeMyer, MD. Yet books do not encourage us to draw and redraw neuroanatomy. Neuroanatomy: Draw It to Know It teaches neuroanatomy through step-by-step instruction of how to draw neuroanatomical pathways and structures. Its instructive language is highly engaging. Users draw neuroanatomical structures and pathways in several steps so they are remembered and use mental and physical mnemonics to demonstrate difficult anatomical rotations and directional pathways. Anatomical pictures and radiographic images accompany the diagrams to clarify spatially challenging features; relevant synonyms are listed to avoid inter-text confusion; inconsistencies in the neuroanatomy literature are highlighted to mitigate frustration; and historical and current accounts of neuroanatomical systems are presented for perspective. Many neuroanatomy textbooks are great references, but fail to provide a working knowledge of neuroanatomy, and many neuroanatomy handbooks provide bedside pearls, but are too concise to be fully satisfactory. This instructional workbook teaches a comprehensive, but practical approach to neuroanatomy; it includes references where necessary but steers users toward key clinical features. Most importantly, Neuroanatomy: Draw It to Know It instructs the reader to draw and redraw the anatomy and teaches an active approach to learning.
(source: Nielsen Book Data)