From Photon to Neuron

From Photon to Neuron PDF Author: Philip Nelson
Publisher: Princeton University Press
ISBN: 1400885485
Category : Science
Languages : en
Pages : 513

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Book Description
A richly illustrated undergraduate textbook on the physics and biology of light Students in the physical and life sciences, and in engineering, need to know about the physics and biology of light. Recently, it has become increasingly clear that an understanding of the quantum nature of light is essential, both for the latest imaging technologies and to advance our knowledge of fundamental life processes, such as photosynthesis and human vision. From Photon to Neuron provides undergraduates with an accessible introduction to the physics of light and offers a unified view of a broad range of optical and biological phenomena. Along the way, this richly illustrated textbook builds the necessary background in neuroscience, photochemistry, and other disciplines, with applications to optogenetics, superresolution microscopy, the single-photon response of individual photoreceptor cells, and more. With its integrated approach, From Photon to Neuron can be used as the basis for interdisciplinary courses in physics, biophysics, sensory neuroscience, biophotonics, bioengineering, or nanotechnology. The goal is always for students to gain the fluency needed to derive every result for themselves, so the book includes a wealth of exercises, including many that guide students to create computer-based solutions. Supplementary online materials include real experimental data to use with the exercises. Assumes familiarity with first-year undergraduate physics and the corresponding math Overlaps the goals of the MCAT, which now includes data-based and statistical reasoning Advanced chapters and sections also make the book suitable for graduate courses An Instructor's Guide and illustration package is available to professors

From Photon to Neuron

From Photon to Neuron PDF Author: Philip Nelson
Publisher: Princeton University Press
ISBN: 1400885485
Category : Science
Languages : en
Pages : 513

Get Book Here

Book Description
A richly illustrated undergraduate textbook on the physics and biology of light Students in the physical and life sciences, and in engineering, need to know about the physics and biology of light. Recently, it has become increasingly clear that an understanding of the quantum nature of light is essential, both for the latest imaging technologies and to advance our knowledge of fundamental life processes, such as photosynthesis and human vision. From Photon to Neuron provides undergraduates with an accessible introduction to the physics of light and offers a unified view of a broad range of optical and biological phenomena. Along the way, this richly illustrated textbook builds the necessary background in neuroscience, photochemistry, and other disciplines, with applications to optogenetics, superresolution microscopy, the single-photon response of individual photoreceptor cells, and more. With its integrated approach, From Photon to Neuron can be used as the basis for interdisciplinary courses in physics, biophysics, sensory neuroscience, biophotonics, bioengineering, or nanotechnology. The goal is always for students to gain the fluency needed to derive every result for themselves, so the book includes a wealth of exercises, including many that guide students to create computer-based solutions. Supplementary online materials include real experimental data to use with the exercises. Assumes familiarity with first-year undergraduate physics and the corresponding math Overlaps the goals of the MCAT, which now includes data-based and statistical reasoning Advanced chapters and sections also make the book suitable for graduate courses An Instructor's Guide and illustration package is available to professors

From Photon to Neuron

From Photon to Neuron PDF Author: Philip Nelson
Publisher: Princeton University Press
ISBN: 0691175195
Category : Science
Languages : en
Pages : 512

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Book Description
What is light? -- Photons and life -- Color vision -- How photons know where to go -- Optical phenomena and life -- Direct image formation -- Imaging as inference -- Imaging by X-ray diffraction -- Vision in dim light -- The mechanism of visual transduction -- The first synapse and beyond -- Electrons, photons, and the Feynman principle -- Field quantization, polarization, and the orientation of a single molecule -- Quantum-mechanical theory of FRET

Physical Models of Living Systems

Physical Models of Living Systems PDF Author: Philip Nelson
Publisher: Macmillan Higher Education
ISBN: 1319036902
Category : Science
Languages : en
Pages : 365

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Book Description
Written for intermediate-level undergraduates pursuing any science or engineering major, Physical Models of Living Systems helps students develop many of the competencies that form the basis of the new MCAT2015. The only prerequisite is first-year physics. With the more advanced "Track-2" sections at the end of each chapter, the book can be used in graduate-level courses as well.

A Student's Guide to Python for Physical Modeling

A Student's Guide to Python for Physical Modeling PDF Author: Jesse M. Kinder
Publisher: Princeton University Press
ISBN: 0691223661
Category : Science
Languages : en
Pages : 241

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Book Description
A fully updated tutorial on the basics of the Python programming language for science students Python is a computer programming language that has gained popularity throughout the sciences. This fully updated second edition of A Student's Guide to Python for Physical Modeling aims to help you, the student, teach yourself enough of the Python programming language to get started with physical modeling. You will learn how to install an open-source Python programming environment and use it to accomplish many common scientific computing tasks: importing, exporting, and visualizing data; numerical analysis; and simulation. No prior programming experience is assumed. This guide introduces a wide range of useful tools, including: Basic Python programming and scripting Numerical arrays Two- and three-dimensional graphics Animation Monte Carlo simulations Numerical methods, including solving ordinary differential equations Image processing Numerous code samples and exercises—with solutions—illustrate new ideas as they are introduced. This guide also includes supplemental online resources: code samples, data sets, tutorials, and more. This edition includes new material on symbolic calculations with SymPy, an introduction to Python libraries for data science and machine learning (pandas and sklearn), and a primer on Python classes and object-oriented programming. A new appendix also introduces command line tools and version control with Git.

From Neuron to Brain

From Neuron to Brain PDF Author: Stephen W. Kuffler
Publisher: Sinauer Associates, Incorporated
ISBN:
Category : Medical
Languages : en
Pages : 680

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Book Description


Biophysics

Biophysics PDF Author: William Bialek
Publisher: Princeton University Press
ISBN: 1400845572
Category : Science
Languages : en
Pages : 653

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Book Description
A physicist's guide to the phenomena of life Interactions between the fields of physics and biology reach back over a century, and some of the most significant developments in biology—from the discovery of DNA's structure to imaging of the human brain—have involved collaboration across this disciplinary boundary. For a new generation of physicists, the phenomena of life pose exciting challenges to physics itself, and biophysics has emerged as an important subfield of this discipline. Here, William Bialek provides the first graduate-level introduction to biophysics aimed at physics students. Bialek begins by exploring how photon counting in vision offers important lessons about the opportunities for quantitative, physics-style experiments on diverse biological phenomena. He draws from these lessons three general physical principles—the importance of noise, the need to understand the extraordinary performance of living systems without appealing to finely tuned parameters, and the critical role of the representation and flow of information in the business of life. Bialek then applies these principles to a broad range of phenomena, including the control of gene expression, perception and memory, protein folding, the mechanics of the inner ear, the dynamics of biochemical reactions, and pattern formation in developing embryos. Featuring numerous problems and exercises throughout, Biophysics emphasizes the unifying power of abstract physical principles to motivate new and novel experiments on biological systems. Covers a range of biological phenomena from the physicist's perspective Features 200 problems Draws on statistical mechanics, quantum mechanics, and related mathematical concepts Includes an annotated bibliography and detailed appendixes

In Vivo Optical Imaging of Brain Function

In Vivo Optical Imaging of Brain Function PDF Author: Ron D. Frostig
Publisher: CRC Press
ISBN: 142007685X
Category : Science
Languages : en
Pages : 494

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Book Description
These are exciting times for the field of optical imaging of brain function. Rapid developments in theory and technology continue to considerably advance understanding of brain function. Reflecting changes in the field during the past five years, the second edition of In Vivo Optical Imaging of Brain Function describes state-of-the-art techniques a

So Simple a Beginning

So Simple a Beginning PDF Author: Raghuveer Parthasarathy
Publisher: Princeton University Press
ISBN: 0691200408
Category : Science
Languages : en
Pages : 336

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Book Description
A biophysicist reveals the hidden unity behind nature’s breathtaking complexity The form and function of a sprinting cheetah are quite unlike those of a rooted tree. A human being is very different from a bacterium or a zebra. The living world is a realm of dazzling variety, yet a shared set of physical principles shapes the forms and behaviors of every creature in it. So Simple a Beginning shows how the emerging new science of biophysics is transforming our understanding of life on Earth and enabling potentially lifesaving but controversial technologies such as gene editing, artificial organ growth, and ecosystem engineering. Raghuveer Parthasarathy explains how four basic principles—self-assembly, regulatory circuits, predictable randomness, and scaling—shape the machinery of life on scales ranging from microscopic molecules to gigantic elephants. He describes how biophysics is helping to unlock the secrets of a host of natural phenomena, such as how your limbs know to form at the proper places, and why humans need lungs but ants do not. Parthasarathy explores how the cutting-edge biotechnologies of tomorrow could enable us to alter living things in ways both subtle and profound. Featuring dozens of original watercolors and drawings by the author, this sweeping tour of biophysics offers astonishing new perspectives on how the wonders of life can arise from so simple a beginning.

Biological Physics

Biological Physics PDF Author: Philip Nelson
Publisher: Macmillan Higher Education
ISBN: 1319038948
Category : Science
Languages : en
Pages : 661

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Book Description
Biological Physics focuses on new results in molecular motors, self-assembly, and single-molecule manipulation that have revolutionized the field in recent years, and integrates these topics with classical results. The text also provides foundational material for the emerging field of nanotechnology.

The NEURON Book

The NEURON Book PDF Author: Nicholas T. Carnevale
Publisher: Cambridge University Press
ISBN: 1139447831
Category : Medical
Languages : en
Pages : 399

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Book Description
The authoritative reference on NEURON, the simulation environment for modeling biological neurons and neural networks that enjoys wide use in the experimental and computational neuroscience communities. This book shows how to use NEURON to construct and apply empirically based models. Written primarily for neuroscience investigators, teachers, and students, it assumes no previous knowledge of computer programming or numerical methods. Readers with a background in the physical sciences or mathematics, who have some knowledge about brain cells and circuits and are interested in computational modeling, will also find it helpful. The NEURON Book covers material that ranges from the inner workings of this program, to practical considerations involved in specifying the anatomical and biophysical properties that are to be represented in models. It uses a problem-solving approach, with many working examples that readers can try for themselves.