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Kirjailija

Bruce Graham

Kirjat ja teokset yhdessä paikassa: 11 kirjaa, julkaisuja vuosilta 2007-2025, suosituimpien joukossa Revenge of the Wolf. Vertaile teosten hintoja ja tarkista saatavuus suomalaisista kirjakaupoista.

11 kirjaa

Kirjojen julkaisuhaarukka 2007-2025.

Revenge of the Wolf

Revenge of the Wolf

Bruce Graham

Unbridled Books
2025
pokkari
In 1982, at a sacred place marked by a massive black rock next to a waterfall overlooking a secret lake in the wilds of northern Canada, a Cree fishing guide shares the harrowing legend of his grandfather’s desperate battle against a giant wolf leading a deadly pack, about the courage shown by his sled dogs in the face of the brutal attack, and about the prophetic dreams that finally helped his grandfather to accept the similar natures of both wolf and man. For readers of The Call of the Wild.
Spirit of the Wilderness

Spirit of the Wilderness

Bruce Graham

Unbridled Books
2023
pokkari
The stories here explore the wonders of the natural world — the very spirit of the wilderness that in effect brings us closer to our true selves. They offer insights into lessons learned from nature, interactions with people who live in the bush, and the wisdom of an ancient way, long since lost in our affluent, "civilized" society. Against the backdrop of wilderness adventure, Graham delves into interwoven issues of spirituality, extrasensory perception, survival against the primal elements, the lives and stories of Native Americans, bear and wildlife encounters, the cowboy life, personal happiness and relationships, coming of age, life goals, and other challenges involving the human condition.
Principles of Computational Modelling in Neuroscience

Principles of Computational Modelling in Neuroscience

David Sterratt; Bruce Graham; Andrew Gillies; Gaute Einevoll; David Willshaw

Cambridge University Press
2023
pokkari
Taking a step-by-step approach to modelling neurons and neural circuitry, this textbook teaches students how to use computational techniques to understand the nervous system at all levels, using case studies throughout to illustrate fundamental principles. Starting with a simple model of a neuron, the authors gradually introduce neuronal morphology, synapses, ion channels and intracellular signalling. This fully updated new edition contains additional examples and case studies on specific modelling techniques, suggestions on different ways to use this book, and new chapters covering plasticity, modelling extracellular influences on brain circuits, modelling experimental measurement processes, and choosing appropriate model structures and their parameters. The online resources offer exercises and simulation code that recreate many of the book's figures, allowing students to practice as they learn. Requiring an elementary background in neuroscience and high-school mathematics, this is an ideal resource for a course on computational neuroscience.
Principles of Computational Modelling in Neuroscience

Principles of Computational Modelling in Neuroscience

David Sterratt; Bruce Graham; Andrew Gillies; Gaute Einevoll; David Willshaw

Cambridge University Press
2023
sidottu
Taking a step-by-step approach to modelling neurons and neural circuitry, this textbook teaches students how to use computational techniques to understand the nervous system at all levels, using case studies throughout to illustrate fundamental principles. Starting with a simple model of a neuron, the authors gradually introduce neuronal morphology, synapses, ion channels and intracellular signalling. This fully updated new edition contains additional examples and case studies on specific modelling techniques, suggestions on different ways to use this book, and new chapters covering plasticity, modelling extracellular influences on brain circuits, modelling experimental measurement processes, and choosing appropriate model structures and their parameters. The online resources offer exercises and simulation code that recreate many of the book's figures, allowing students to practice as they learn. Requiring an elementary background in neuroscience and high-school mathematics, this is an ideal resource for a course on computational neuroscience.
Life Lessons

Life Lessons

Bruce Graham

Unbridled Books
2022
pokkari
The stories of the fascinating family members chronicled here by Bruce Graham include tales of high adventure, love, war, building, sacrifice, faith and gaining wisdom. Of succeeding in business and sports, of the profession of medicine, of the counterculture, drug and alcohol abuse, Christian redemption, firsthand accounts of President Harry Truman, and much more. There is a moral of life to be found in each chapter. Together, his family's stories have served as inspirations that over time helped shape the beliefs and values by which the author has tried to guide his own life.
The End of Dreams

The End of Dreams

Bruce Graham

Purple Porcupine Publishing
2021
pokkari
The End of Dreams is a gripping story of love and loss. It is 1864. 18-year-old Meredith McBurnie from Nova Scotia, Canada, works as a proofreader at a literary magazine in Portland, Maine. Her mother, however, has different plans for her daughter. Meredith's brother Liam deserted the Union Army amidst the American Civil War. Her mother is frantic and demands that Meredith go and find him or return home to look after the family.Since childhood, Meredith and Liam have shared a special bond. Meredith worries about her brother's well-being and fate as an army deserter. It is an impossible task, but she feels compelled to fulfill her mother's wishes and embarks on a dangerous journey that will change her life and the life of her family forever.
Principles of Computational Modelling in Neuroscience

Principles of Computational Modelling in Neuroscience

David Sterratt; Bruce Graham; Andrew Gillies; David Willshaw

Cambridge University Press
2011
sidottu
The nervous system is made up of a large number of interacting elements. To understand how such a complex system functions requires the construction and analysis of computational models at many different levels. This book provides a step-by-step account of how to model the neuron and neural circuitry to understand the nervous system at all levels, from ion channels to networks. Starting with a simple model of the neuron as an electrical circuit, gradually more details are added to include the effects of neuronal morphology, synapses, ion channels and intracellular signalling. The principle of abstraction is explained through chapters on simplifying models, and how simplified models can be used in networks. This theme is continued in a final chapter on modelling the development of the nervous system. Requiring an elementary background in neuroscience and some high school mathematics, this textbook is an ideal basis for a course on computational neuroscience.