During sleep, the mammalian brain generates an orderly progression of low frequency oscillations as the brain moves from sleep onset into deep sleep. This book explores the underlying neural mechanisms involved in generating these oscillations through interacting neural assemblies in the thalamus and the cortex. Sleep spindles are involved in the consolidation of experiences in long-term memory during sleep. Written by two leading experts in the field, this book integrates the properties of ion channels, synaptic interactions, and intrinsic cellular mechanisms into biophysical models of neural oscillations in local circuits and distributed networks. In particular, the book focuses on sleep spindles and how they are highjacked by epileptic seizures Reissued in paperback after being unavailable for many years, this revised edition of Thalamocortical Assemblies includes updates to each chapter, highlighting developments since its first publication. The book will be valuable to neuroscientists, neurobiologists, physiologists and computational researchers interested in sleep and memory processes.
This exciting, timely book combines cutting-edge findings in neuroscience with examples from history and recent headlines to offer new insights into who we are. Introducing the new science of cultural biology, born of advances in brain imaging, computer modeling, and genetics, Drs. Quartz and Sejnowski demystify the dynamic engagement between brain and world that makes us something far beyond the sum of our parts. The authors show how our humanity unfolds in precise stages as brain and world engage on increasingly complex levels. Their discussion embraces shaping forces as ancient as climate change over millennia and events as recent as the terrorism and heroism of September 11 and offers intriguing answers to some of our most enduring questions, including why we live together, love, kill -- and sometimes lay down our lives for others. The answers, it turns out, are surprising and paradoxical: many of the noblest aspects of human nature -- altruism, love, courage, and creativity -- are rooted in brain systems so ancient that we share them with insects, and these systems form the basis as well of some of our darkest destructive traits. The authors also overturn popular views of how brains develop. We're not the simple product of animal urges, "selfish" genes, or nature versus nurture. We survive by creating an ingenious web of ideas for making sense of our world -- a symbolic reality called culture. This we endow to later generations as our blueprint for survival. Using compelling examples from history and contemporary life, the authors show how engagement with the world excites brain chemistry, which drives further engagement, which encourages the development of cultural complexity. They also share provocative ideas on how human development may be affected by changes in our culture. Their insights, grounded in science and far-reaching in their implications, are riveting reading for anyone interested in our past, present, and future.
An anniversary edition of the classic work that influenced a generation of neuroscientists and cognitive neuroscientists. Before The Computational Brain was published in 1992, conceptual frameworks for brain function were based on the behavior of single neurons, applied globally. In The Computational Brain, Patricia Churchland and Terrence Sejnowski developed a different conceptual framework, based on large populations of neurons. They did this by showing that patterns of activities among the units in trained artificial neural network models had properties that resembled those recorded from populations of neurons recorded one at a time. It is one of the first books to bring together computational concepts and behavioral data within a neurobiological framework. Aimed at a broad audience of neuroscientists, computer scientists, cognitive scientists, and philosophers, The Computational Brain is written for both expert and novice. This anniversary edition offers a new preface by the authors that puts the book in the context of current research. This approach influenced a generation of researchers. Even today, when neuroscientists can routinely record from hundreds of neurons using optics rather than electricity, and the 2013 White House BRAIN initiative heralded a new era in innovative neurotechnologies, the main message of The Computational Brain is still relevant.
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 enormous 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.
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 enormous 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.
An insightful exploration of Chat GPT and other advanced AI systems—how we got here, where we’re headed, and what it all means for how we interact with the world. In ChatGPT and the Future of AI, the sequel to The Deep Learning Revolution, Terrence Sejnowski offers a nuanced exploration of large language models (LLMs) like ChatGPT and what their future holds. How should we go about understanding LLMs? Do these language models truly understand what they are saying? Or is it possible that what appears to be intelligence in LLMs may be a mirror that merely reflects the intelligence of the interviewer? In this book, Sejnowski, a pioneer in computational approaches to understanding brain function, answers all our urgent questions about this astonishing new technology. Sejnowski begins by describing the debates surrounding LLMs’ comprehension of language and exploring the notions of “thinking” and “intelligence.” He then takes a deep dive into the historical evolution of language models, focusing on the role of transformers, the correlation between computing power and model size, and the intricate mathematics shaping LLMs. Sejnowski also provides insight into the historical roots of LLMs and discusses the potential future of AI, focusing on next-generation LLMs inspired by nature and the importance of developing energy-efficient technologies. Grounded in Sejnowski’s dual expertise in AI and neuroscience, ChatGPT and the Future of AI is the definitive guide to understanding the intersection of AI and human intelligence.
An anniversary edition of the classic work that influenced a generation of neuroscientists and cognitive neuroscientists. Before The Computational Brain was published in 1992, conceptual frameworks for brain function were based on the behavior of single neurons, applied globally. In The Computational Brain, Patricia Churchland and Terrence Sejnowski developed a different conceptual framework, based on large populations of neurons. They did this by showing that patterns of activities among the units in trained artificial neural network models had properties that resembled those recorded from populations of neurons recorded one at a time. It is one of the first books to bring together computational concepts and behavioral data within a neurobiological framework. Aimed at a broad audience of neuroscientists, computer scientists, cognitive scientists, and philosophers, The Computational Brain is written for both expert and novice. This anniversary edition offers a new preface by the authors that puts the book in the context of current research. This approach influenced a generation of researchers. Even today, when neuroscientists can routinely record from hundreds of neurons using optics rather than electricity, and the 2013 White House BRAIN initiative heralded a new era in innovative neurotechnologies, the main message of The Computational Brain is still relevant.
An anniversary edition of the classic work that influenced a generation of neuroscientists and cognitive neuroscientists. Before The Computational Brain was published in 1992, conceptual frameworks for brain function were based on the behavior of single neurons, applied globally. In The Computational Brain, Patricia Churchland and Terrence Sejnowski developed a different conceptual framework, based on large populations of neurons. They did this by showing that patterns of activities among the units in trained artificial neural network models had properties that resembled those recorded from populations of neurons recorded one at a time. It is one of the first books to bring together computational concepts and behavioral data within a neurobiological framework. Aimed at a broad audience of neuroscientists, computer scientists, cognitive scientists, and philosophers, The Computational Brain is written for both expert and novice. This anniversary edition offers a new preface by the authors that puts the book in the context of current research. This approach influenced a generation of researchers. Even today, when neuroscientists can routinely record from hundreds of neurons using optics rather than electricity, and the 2013 White House BRAIN initiative heralded a new era in innovative neurotechnologies, the main message of The Computational Brain is still relevant.
This exciting, timely book combines cutting-edge findings in neuroscience with examples from history and recent headlines to offer new insights into who we are. Introducing the new science of cultural biology, born of advances in brain imaging, computer modeling, and genetics, Drs. Quartz and Sejnowski demystify the dynamic engagement between brain and world that makes us something far beyond the sum of our parts. The authors show how our humanity unfolds in precise stages as brain and world engage on increasingly complex levels. Their discussion embraces shaping forces as ancient as climate change over millennia and events as recent as the terrorism and heroism of September 11 and offers intriguing answers to some of our most enduring questions, including why we live together, love, kill -- and sometimes lay down our lives for others. The answers, it turns out, are surprising and paradoxical: many of the noblest aspects of human nature -- altruism, love, courage, and creativity -- are rooted in brain systems so ancient that we share them with insects, and these systems form the basis as well of some of our darkest destructive traits. The authors also overturn popular views of how brains develop. We're not the simple product of animal urges, "selfish" genes, or nature versus nurture. We survive by creating an ingenious web of ideas for making sense of our world -- a symbolic reality called culture. This we endow to later generations as our blueprint for survival. Using compelling examples from history and contemporary life, the authors show how engagement with the world excites brain chemistry, which drives further engagement, which encourages the development of cultural complexity. They also share provocative ideas on how human development may be affected by changes in our culture. Their insights, grounded in science and far-reaching in their implications, are riveting reading for anyone interested in our past, present, and future.
In October 2017, Nobel laureate Sydney Brenner (Physiology or Medicine, 2002) gave four lectures on the history of Molecular Biology, its impact on Neuroscience and the great scientific questions that lie ahead.Sydney Brenner has been at the centre of the development of molecular biology, being a key player in shaping the Laboratory for Molecular Biology in Cambridge into a cradle of research, where pioneering and seminal discoveries in the field for over half a century have resulted in more than half a dozen Nobel Prizes.His memory is a treasure trove of the history of the field with innumerable anecdotes on other leading scientists in the past 60 years. These lectures trace the history and recount some of those anecdotes. His interlocutor Terry Sejnowski is the Francis Crick professor at the Salk Institute for Biological Studies and the Laboratory Head of its Computational Neurobiology Laboratory. Terry and Sydney are long-term collaborators and they share many stories and memories.The recorded lectures are the basis for this book. It aims to preserve the history of molecular biology and to also raise scientific questions that have resulted from the work of Sydney, Terry and others. It should be read by everybody who is interested in the generation, history and impact of great ideas as recounted by one of the legends of 20th century science.Published in collaboration with Institute Para Limes.
Top 10 Pick for Learning Ladders’ Best Books for Educators Summer 2021 A groundbreaking guide to improve teaching based on the latest research in neuroscience, from the bestselling author of A Mind for Numbers. Neuroscientists and cognitive scientists have made enormous strides in understanding the brain and how we learn, but little of that insight has filtered down to the way teachers teach. Uncommon Sense Teaching applies this research to the classroom for teachers, parents, and anyone interested in improving education. Topics include: • keeping students motivated and engaged, especially with online learning • helping students remember information long-term, so it isn't immediately forgotten after a test • how to teach inclusively in a diverse classroom where students have a wide range of abilities Drawing on research findings as well as the authors' combined decades of experience in the classroom, Uncommon Sense Teaching equips readers with the tools to enhance their teaching, whether they're seasoned professionals or parents trying to offer extra support for their children's education.
A surprisingly simple way for students to master any subject--based on one of the world's most popular online courses and the bestselling book A Mind for Numbers A Mind for Numbers and its wildly popular online companion course "Learning How to Learn" have empowered more than two million learners of all ages from around the world to master subjects that they once struggled with. Fans often wish they'd discovered these learning strategies earlier and ask how they can help their kids master these skills as well. Now in this new book for kids and teens, the authors reveal how to make the most of time spent studying. We all have the tools to learn what might not seem to come naturally to us at first--the secret is to understand how the brain works so we can unlock its power. This book explains: Why sometimes letting your mind wander is an important part of the learning process How to avoid "rut think" in order to think outside the box Why having a poor memory can be a good thing The value of metaphors in developing understanding A simple, yet powerful, way to stop procrastinating Filled with illustrations, application questions, and exercises, this book makes learning easy and fun.
A surprisingly simple way for students to master any subject--based on one of the world's most popular online courses and the bestselling book A Mind for Numbers and its wildly popular online companion course "Learning How to Learn" have empowered more than two million learners of all ages from around the world to master subjects that they once struggled with. Fans often wish they'd discovered these learning strategies earlier and ask how they can help their kids master these skills as well. Now in this new book for kids and teens, the authors reveal how to make the most of time spent studying. We all have the tools to learn what might not seem to come naturally to us at first--the secret is to understand how the brain works so we can unlock its power. This book explains: * Why sometimes letting your mind wander is an important part of the learning process * How to avoid "rut think" in order to think outside the box * Why having a poor memory can be a good thing * The value of metaphors in developing understanding * A simple, yet powerful, way to stop procrastinating Filled with illustrations, application questions, and exercises, this book makes learning easy and fun"--
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