神經科學
The Symbolic Species 豆瓣
作者: Terrence W. Deacon W. W. Norton & Company 1998 - 4
This revolutionary book provides fresh answers to long-standing questions of human origins and consciousness. Drawing on his breakthrough research in comparative neuroscience, Terrence Deacon offers a wealth of insights into the significance of symbolic thinking: from the co-evolutionary exchange between language and brains over two million years of hominid evolution to the ethical repercussions that followed man's newfound access to other people's thoughts and emotions. Informing these insights is a new understanding of how Darwinian processes underlie the brain's development and function as well as its evolution. In contrast to much contemporary neuroscience that treats the brain as no more or less than a computer, Deacon provides a new clarity of vision into the mechanism of mind. It injects a renewed sense of adventure into the experience of being human.
Representation, Memory and Development 豆瓣
作者: Stein; Stein, Nancy L.; Mandler, George 2002 - 6
A festschrift to honor Jean Mandler, this volume contains contributions from leading scholars focusing on the child's development of memory, visual representation, and language. It is appropriate for students and researchers in cognitive psychology, language acquisition, and memory.
Interesting Times 豆瓣
作者: Mandler, George 2001 - 9
This book is an autobiographical account of George Mandler--born in 1924--who grew up in a middle class Jewish family in Vienna. It details the fears and attempts to find a safe haven when Austria was invaded and absorbed into Nazi Germany in 1938, followed by Mandler's escape to England and residence in a small boarding school. The threat of the holocaust and reaction to anti-semitism are explored and the author describes the life of an emigre youth group run by a branch of the Austrian communist party. Drafted in 1943, Mandler is trained in military intelligence and ends up as a front line interrogator with the 7th army in Germany. The training and function of military intelligence and the role of German and Austrian refugees in it are described for the first time in detail. Military intelligence and counter-intelligence work in post-war Germany follows, including the evacuation of a scientific establishment before the arrival of the Soviets. Returning to New York in 1946, Mandler begins his college training at New York University and the University of Basel, Switzerland. This is followed by graduate training in psychology at Yale and a first position at Harvard for seven years. Highlights of the period include a short episode of peripheral involvement in a Soviet spy scandal. After five years at the University of Toronto, Mandler is given the opportunity of a lifetime--to start a department at the prestigious new San Diego branch of the University of California. He describes the process of building a department and a university in the context of the 1960s, as well as academic life and actions during the turbulent 60s and 70s. Mandler's successful career as a writer and researcher in psychology is described in lay language, as is the professional/scientific bifurcation of the field. The final chapter comments on and describes current academic life and problems.
The Tell-Tale Brain 豆瓣 Goodreads
作者: V. S. Ramachandran W. W. Norton & Co. 2011 - 1
Drawing on strange and thought-provoking case studies, an eminent neurologist offers unprecedented insight into the evolution of the uniquely human brain.V. S. Ramachandran is at the forefront of his field-so much so that Richard Dawkins dubbed him the "Marco Polo of neuroscience." Now, in a major new work, Ramachandran sets his sights on the mystery of human uniqueness. Taking us to the frontiers of neurology, he reveals what baffling and extreme case studies can teach us about normal brain function and how it evolved. Synesthesia becomes a window into the brain mechanisms that make some of us more creative than others. And autism—for which Ramachandran opens a new direction for treatment—gives us a glimpse of the aspect of being human that we understand least: self-awareness. Ramachandran tackles the most exciting and controversial topics in neurology with a storyteller's eye for compelling case studies and a researcher's flair for new approaches to age-old questions. Tracing the strange links between neurology and behavior, this book unveils a wealth of clues into the deepest mysteries of the human brain. 15 black-and-white illustrations
Computational Models of Brain and Behavior 豆瓣
作者: Ahmed A. Moustafa Wiley-Blackwell 2017 - 11
A comprehensive Introduction to the world of brain and behavior computational models
This book provides a broad collection of articles covering different aspects of computational modeling efforts in psychology and neuroscience. Specifically, it discusses models that span different brain regions (hippocampus, amygdala, basal ganglia, visual cortex), different species (humans, rats, fruit flies), and different modeling methods (neural network, Bayesian, reinforcement learning, data fitting, and Hodgkin-Huxley models, among others).
Computational Models of Brain and Behavior is divided into four sections: (a) Models of brain disorders; (b) Neural models of behavioral processes; (c) Models of neural processes, brain regions and neurotransmitters, and (d) Neural modeling approaches. It provides in-depth coverage of models of psychiatric disorders, including depression, posttraumatic stress disorder (PTSD), schizophrenia, and dyslexia; models of neurological disorders, including Alzheimer’s disease, Parkinson’s disease, and epilepsy; early sensory and perceptual processes; models of olfaction; higher/systems level models and low-level models; Pavlovian and instrumental conditioning; linking information theory to neurobiology; and more.
Covers computational approximations to intellectual disability in down syndrome
Discusses computational models of pharmacological and immunological treatment in Alzheimer's disease
Examines neural circuit models of serotonergic system (from microcircuits to cognition)
Educates on information theory, memory, prediction, and timing in associative learning
Computational Models of Brain and Behavior is written for advanced undergraduate, Master's and PhD-level students—as well as researchers involved in computational neuroscience modeling research.
The Visual Brain in Action 豆瓣
作者: David Milner / Mel Goodale Oxford University Press, USA 2006
First published in 1995, The Visual Brain in Action remains a seminal publication in the cognitive sciences. It presents a model for understanding the visual processing underlying perception and action, proposing a broad distinction within the brain between two kinds of vision: conscious perception and unconscious 'online' vision. It argues that each kind of vision can occur quasi-independently of the other, and is separately handled by a quite different processing system. In the 11 years since publication, the book has provoked considerable interest and debate - throughout both cognitive neuroscience and philosophy, while the field has continued to flourish and develop. For this new edition, the text from the original edition has been left untouched, standing as a coherent statement of the authors' position. However, a very substantial epilogue has been added to the book in which Milner and Goodale review some of the key developments that support or challenge the views that were put forward in the first edition. The new chapter summarizes developments in various relevant areas of psychology, neuroscience and behaviour. It notably supplements the main text by updating the reader on the contributions that have emerged from the use of functional neuroimaging, which was in its infancy when the first edition was written. Neuroimaging, and functional MRI in particular, has revolutionized the field over the past 11 years by allowing investigators to plot in detail the patterns of activity within the visual brains of behaving and perceiving humans. The authors show how its use now allows scientists to test and confirm their proposals, based as they then were largely on evidence accrued from primate neuroscience in conjunction with studies of neurological patients.
马赫 豆瓣
作者: [美]R.S.科恩(Robert S. Cohen) 主编 译者: 董光璧 / 范岱年 商务印书馆 2015
《马赫:物理学家和哲学家》是美国科学哲学界对马赫的一部研究纪念文集,是美国著名的“波士顿科学哲学研究丛书”中的一种。本文集由美国科学哲学学会前主席R.S.科恩主编。文集中主要篇目有:前言;恩斯特·马赫:作为教师和思想家的生活;马赫对感觉分析的贡献;马赫对气体动力学的贡献;马赫对激波的求知欲;马赫和当代物理学;马赫:物理学、知觉和科学哲学;马赫、爱因斯坦和实在论的探索;马赫原理和爱因斯坦的引力理论;马赫的科学哲学对我们时代的重要性;马赫和科学统一;马赫和经验论者的科学概念;马赫的生物学的知识论等。
Inattentional Blindness 豆瓣
作者: Arien Mack / Irvin Rock The MIT Press 2000 - 7
Many people believe that merely by opening their eyes, they see everything in their field of view; in fact, a line of psychological research has been taken as evidence of the existence of so-called preattentional perception. In Inattentional Blindness, Arien Mack and Irvin Rock make the radical claim that there is no such thing--that there is no conscious perception of the visual world without attention to it.The authors present a narrative chronicle of their research. Thus, the reader follows the trail that led to the final conclusions, learning why initial hypotheses and explanations were discarded or revised, and how new questions arose along the way. The phenomenon of inattentional blindness has theoretical importance for cognitive psychologists studying perception, attention, and consciousness, as well as for philosophers and neuroscientists interested in the problem of consciousness.
Consciousness and the Brain 豆瓣
作者: Stanislas Dehaene Penguin Random House USA Ex 2014
A breathtaking look at the new science that can track consciousness deep in the brain
How does our brain generate a conscious thought? And why does so much of our knowledge remain unconscious? Thanks to clever psychological and brain-imaging experiments, scientists are closer to cracking this mystery than ever before.
In this lively book, Stanislas Dehaene describes the pioneering work his lab and the labs of other cognitive neuroscientists worldwide have accomplished in defining, testing, and explaining the brain events behind a conscious state. We can now pin down the neurons that fire when a person reports becoming aware of a piece of information and understand the crucial role unconscious computations play in how we make decisions. The emerging theory enables a test of consciousness in animals, babies, and those with severe brain injuries.
A joyous exploration of the mind and its thrilling complexities, Consciousness and the Brain will excite anyone interested in cutting-edge science and technology and the vast philosophical, personal, and ethical implications of finally quantifying consciousness.
The Number Sense: How the Mind Creates Mathematics Goodreads 豆瓣
作者: Stanislas Dehaene Oxford University Press 1999 - 12 其它标题: The Number Sense
The Number Sense is an enlightening exploration of the mathematical mind. Describing experiments that show that human infants have a rudimentary number sense, Stanislas Dehaene suggests that this sense is as basic as our perception of color, and that it is wired into the brain. Dehaene shows that it was the invention of symbolic systems of numerals that started us on the climb to higher mathematics. A fascinating look at the crossroads where numbers and neurons intersect, The Number Sense offers an intriguing tour of how the structure of the brain shapes our mathematical abilities, and how our mathematics opens up a window on the human mind.
The Deep Learning Revolution 豆瓣
作者: Terrence J. Sejnowski MIT 2018 - 6
How deep learning -- from Google Translate to driverless cars to personal cognitive assistants -- is changing our lives and transforming every sector of the economy.
The deep learning revolution has brought us driverless cars, the greatly improved Google Translate, fluent conversations with Siri and Alexa, and enormus profits from automated trading on the New York Stock Exchange. Deep learning networks can play poker better than professional poker players and defeat a world champion at Go. In this book, Terry Sejnowski explains how deep learning went from being an arcane academic field to a disruptive technology in the information economy.
Sejnowski played an important role in the founding of deep learning, as one of a small group of researchers in the 1980s who challenged the prevailing logic-and-symbol based version of AI. The new version of AI Sejnowski and others developed, which became deep learning, is fueled instead by data. Deep networks learn from data in the same way that babies experience the world, starting with fresh eyes and gradually acquiring the skills needed to navigate novel environments. Learning algorithms extract information from raw data; information can be used to create knowledge; knowledge underlies understanding; understanding leads to wisdom. Someday a driverless car will know the road better than you do and drive with more skill; a deep learning network will diagnose your illness; a personal cognitive assistant will augment your puny human brain. It took nature many millions of years to evolve human intelligence; AI is on a trajectory measured in decades. Sejnowski prepares us for a deep learning future.
Memory in the Cerebral Cortex 豆瓣
作者: Joaquín M. Fuster The MIT Press 1999 - 6
In Memory in the Cerebral Cortex, Joaquin M. Fuster presents the insights of more than three decades of empirical research on the neural processes by which memory is formed, stored, and retrieved. Spanning the field from neuroanatomy to modeling, this book brings together all that we presently know about the role of the cerebral cortex of the primate in memory.
Hayek on Hayek 豆瓣
作者: F. A. Hayek University Of Chicago Press 1994 - 6
The crumbling of the Berlin Wall, the fall of the iron curtain, and the Reagan and Thatcher "revolutions" all owe a tremendous debt to F. A. Hayek. Economist, social and political theorist, and intellectual historian, Hayek passionately championed individual liberty and condemned the dangers of state control. Now Hayek at last tells the story of his long and controversial career, during which his fortunes rose, fell, and finally rose again.
Through a complete collection of previously unpublished autobiographical sketches and a wide selection of interviews, Hayek on Hayek provides the first detailed chronology of Hayek's early life and education, his intellectual progress, and the academic and public reception of his ideas. His discussions range from economic methodology and the question of religious faith to the atmosphere of post-World War I Vienna and the British character.
Born in 1899 into a Viennese family of academics and civil servants, Hayek was educated at the University of Vienna, fought in the Great War, and later moved to London, where, as he watched liberty vanish under fascism and communism across Europe, he wrote The Road to Serfdom. Although this book attracted great public attention, Hayek was ignored by other economists for thirty years after World War II, when European social democracies boomed and Keynesianism became the dominant intellectual force. However, the award of the Nobel Prize in economics for 1974 signaled a reversal in Hayek's fortunes, and before his death in 1992 he saw his life's work vindicated in the collapse of the planned economies of Eastern Europe.
Hayek on Hayek is as close to an autobiography of Hayek as we will ever have. In his own eloquent words, Hayek reveals the remarkable life of a revolutionary thinker in revolutionary times.
"One of the great thinkers of our age who explored the promise and contours of liberty....[Hayek] revolutionized the world's intellectual and political life"--President George Bush, on awarding F. A. Hayek the Medal of Freedom
F. A. Hayek, recipient of the Medal of Freedom 1991 and the Nobel Memorial Prize in Economics in 1974, was a pioneer in monetary theory and the principal proponent of the libertarian philosophy. Hayek is the author of numerous books in economics, as well as books in political philosophy and psychology.