Biophysics of Computation: Information Processing in Single Neurons (Computational Neuroscience Series)

Neural network research often builds on the fiction that neurons are simple linear threshold units, completely neglecting the highly dynamic and complex nature of synapses, dendrites, and voltage-dependent ionic currents. Biophysics of Computation: Information Processing in Single Neurons challenges this notion, using richly detailed experimental and theoretical findings from cellular biophysics to explain the repertoire of computational functions available to single neurons. The author shows how individual nerve cells can multiply, integrate, or delay synaptic inputs and how information can be encoded in the voltage across the membrane, in the intracellular calcium concentration, or in the timing of individual spikes. Key topics covered include the linear cable equation; cable theory as applied to passive dendritic trees and dendritic spines; chemical and electrical synapses and how to treat them from a computational point of view; nonlinear interactions of synaptic input in passive and active dendritic trees; the Hodgkin-Huxley model of action potential generation and propagation; phase space analysis; linking stochastic ionic channels to membrane-dependent currents; calcium- and potassium-currents and their role in information processing; the role of diffusion, buffering and binding of calcium, and other messenger systems in information processing and storage; short- and long-term models of synaptic plasticity; simplified models of single cells; stochastic aspects of neuronal firing; the nature of the neuronal code; and unconventional models of sub-cellular computation. Biophysics of Computation: Information Processing in Single Neurons serves as an ideal text for advanced undergraduate and graduate courses in cellular biophysics, computational neuroscience, and neural networks, and will appeal to students and professionals in neuroscience, electrical and computer engineering, and physics.

Science & Math

Koch, Christof

Biological Sciences

Oxford University Press

Neural network research often builds on the fiction that neurons are simple linear threshold units, completely neglecting the highly dynamic and complex nature of synapses, dendrites, and voltage-dependent ionic currents. Biophysics of Computation: Information Processing in Single Neurons challenges this notion, using richly detailed experimental and theoretical findings from cellular biophysics to explain the repertoire of computational functions available to single neurons. The author shows how individual nerve cells can multiply, integrate, or delay synaptic inputs and how information can be encoded in the voltage across the membrane, in the intracellular calcium concentration, or in the timing of individual spikes. Key topics covered include the linear cable equation; cable theory as applied to passive dendritic trees and dendritic spines; chemical and electrical synapses and how to treat them from a computational point of view; nonlinear interactions of synaptic input in passive and active dendritic trees; the Hodgkin-Huxley model of action potential generation and propagation; phase space analysis; linking stochastic ionic channels to membrane-dependent currents; calcium and potassium currents and their role in information processing; the role of diffusion, buffering and binding of calcium, and other messenger systems in information processing and storage; short- and long-term models of synaptic plasticity; simplified models of single cells; stochastic aspects of neuronal firing; the nature of the neuronal code; and unconventional models of sub-cellular computation. Biophysics of Computation: Information Processing in Single Neurons serves as an ideal text for advanced undergraduate and graduate courses in cellular biophysics, computational neuroscience, and neural networks, and will appeal to students and professionals in neuroscience, electrical and computer engineering, and physics.

In which a scientist searches for an empirical explanation for phenomenal experience, spurred by his instinctual belief that life is meaningful.
What links conscious experience of pain, joy, color, and smell to bioelectrical activity in the brain? How can anything physical give rise to nonphysical, subjective, conscious states? Christof Koch has devoted much of his career to bridging the seemingly unbridgeable gap between the physics of the brain and phenomenal experience. This engaging book―part scientific overview, part memoir, part futurist speculation―describes Koch's search for an empirical explanation for consciousness. Koch recounts not only the birth of the modern science of consciousness but also the subterranean motivation for his quest―his instinctual (if "romantic") belief that life is meaningful.
Koch describes his own groundbreaking work with Francis Crick in the 1990s and 2000s and the gradual emergence of consciousness (once considered a "fringy" subject) as a legitimate topic for scientific investigation. Present at this paradigm shift were Koch and a handful of colleagues, including Ned Block, David Chalmers, Stanislas Dehaene, Giulio Tononi, Wolf Singer, and others. Aiding and abetting it were new techniques to listen in on the activity of individual nerve cells, clinical studies, and brain-imaging technologies that allowed safe and noninvasive study of the human brain in action. 
Koch gives us stories from the front lines of modern research into the neurobiology of consciousness as well as his own reflections on a variety of topics, including the distinction between attention and awareness, the unconscious, how neurons respond to Homer Simpson, the physics and biology of free will, dogs, Der Ring des Nibelungen, sentient machines, the loss of his belief in a personal God, and sadness. All of them are signposts in the pursuit of his life's work―to uncover the roots of consciousness.

Consciousness: Confessions of a Romantic Reductionist

Reference

Mit Pr

The Feeling of Life Itself: Why Consciousness Is Widespread but Can't Be Computed (Mit Press)

An argument that consciousness, more widespread than previously assumed, is the feeling of being alive, not a type of computation or a clever hack.
In The Feeling of Life Itself, Christof Koch offers a straightforward definition of consciousness as any subjective experience, from the most mundane to the most exalted―the feeling of being alive. 
Psychologists study which cognitive operations underpin a given conscious perception. Neuroscientists track the neural correlates of consciousness in the brain, the organ of the mind. But why the brain and not, say, the liver? How can the brain, three pounds of highly excitable matter, a piece of furniture in the universe, subject to the same laws of physics as any other piece, give rise to subjective experience? Koch argues that what is needed to answer these questions is a quantitative theory that starts with experience and proceeds to the brain. In The Feeling of Life Itself, Koch outlines such a theory, based on integrated information.
Koch describes how the theory explains many facts about the neurology of consciousness and how it has been used to build a clinically useful consciousness meter. The theory predicts that many, and perhaps all, animals experience the sights and sounds of life; consciousness is much more widespread than conventionally assumed. Contrary to received wisdom, however, Koch argues that programmable computers will not have consciousness. Even a perfect software model of the brain is not conscious. Its simulation is fake consciousness. Consciousness is not a special type of computation―it is not a clever hack. Consciousness is about being.

The Feeling of Life Itself: Why Consciousness Is Widespread but Can't Be Computed

The MIT Press

Methods in Neuronal Modeling: From Synapses to Networks

Methods in Neuronal Modeling is the first technical handbook on computational neuroscience. Written for researchers and theoreticians alike, it outlines methods and techniques used for simulating on digital computers the functional properties of single neurons from synapses, dendrites, single cells; and small invertebrate networks to large scale neural networks in the mammalian nervous system. The use of new experimental tools such as selective staining methods, membrane patch electrodes, voltage and calcium-dependent dyes, and multielectrode recordings, together with the, advent of universally available powerful computing, makes it possible to construct detailed and realistic models of neuronal systems. Methods in Neuronal Modeling addresses such questions as what can and should be simulated and what techniques should be used; what experimental parameters are crucial for such simulations, and whether these models may be verified experimentally. Chapters cover simulation of passive dendritic trees, compartmental models of single cells including neurons with a number of different ionic channels, calcium current dynamics, simulations of small invertebrate networks, simulations of the mammalian cortex, connectionists' models, and the use of parallel computers in modeling neural networks. Although the chapters were written by several authors, they are uniform in structure and notation. Detailed examples are given to clarify the different approaches. Each chapter concludes with a description of the model discussed and the details of its implementation on the computer. Christof Koch is an Assistant Professor of Computation and Neural Systems at the California Institute of Technology. Idan Segev is a Lecturer in Neurobiology at the Institute of Life Science, Hebrew University of Jerusalem. Methods in Neuronal Modeling inaugurates the new series in Computational Neuroscience, edited by Terrence J. Sejnowski and Tomaso Poggio. A Bradford Book.

Methods in Neuronal Modeling: From Synapses to Networks (Computational Neuroscience)

Computers & Technology

Certification

The authors encompass a broad background, from biophysics and electrophysiology to psychophysics, neurology, and computational vision. However, all the chapters focus on a common issue: the role of the primate (including human) cerebral cortex in memory, visual perception, focal attention, and awareness.Large-Scale Neuronal Theories of the Brain brings together thirteen original contributions by some of the top scientists working in neuroscience today. It presents models and theories that will most likely shape and influence the way we think about the brain, the mind, and interactions between the two in the years to come. Chapters consider global theories of the brain from the bottom up―providing theories that are based on real nerve cells, their firing properties, and their anatomical connections. This contrasts with attempts that have been made by psychologists and by theorists in the artificial intelligence community to understand the brain strictly from a psychological or computational point of view. The authors encompass a broad background, from biophysics and electrophysiology to psychophysics, neurology, and computational vision. However, all the chapters focus on a common issue: the role of the primate (including human) cerebral cortex in memory, visual perception, focal attention, and awareness.ContributorsHorace Barlow. Patricia Churchland, V. S. Ramachandran, and Terrence J. Sejnowski. Antonio R. Damasio and Hanna Damasio. Robert Desimone, Earl K. Miller, and Leonardo Chelazzi. Christof Koch and Francis Crick. Rodolfo R. Llinas and Urs Ribary. David Mumford. Tomaso Poggio and Anya Hurlbert. Michael I. Posner and Mary K. Rothbart. Wolf Singer. Charles F. Stevens. Shimon Ullman. David C. Van Essen, Charles W. Anderson, and Bruno A. Olshausen

Large-Scale Neuronal Theories of the Brain (Computational Neuroscience)

Health, Fitness & Dieting

Mental Health

Bradford Books

Consciousness: Confessions of a Romantic Reductionist (Mit Press)

Politics & Social Sciences

Philosophy

An argument that consciousness, more widespread than previously assumed, is the feeling of being alive, not a type of computation or a clever hack. In The Feeling of Life Itself, Christof Koch offers a straightforward definition of consciousness as any subjective experience, from the most mundane to the most exalted--the feeling of being alive. Psychologists study which cognitive operations underpin a given conscious perception. Neuroscientists track the neural correlates of consciousness in the brain, the organ of the mind. But why the brain and not, say, the liver? How can the brain, three pounds of highly excitable matter, a piece of furniture in the universe, subject to the same laws of physics as any other piece, give rise to subjective experience? Koch argues that what is needed to answer these questions is a quantitative theory that starts with experience and proceeds to the brain. In The Feeling of Life Itself, Koch outlines such a theory, based on integrated information.

A paperback reprint of MIT's 1989 hardcover original. Outlines methods and techniques used for simulating on digital computers the functional properties of single neurons from synapses, dendrites, single cells, and small invertebrate networks to large-scale neural networks in the mammalian nervous system. Annotation copyright Book News, Inc. Portland, Or.

Segev, Idan

Consciousness is one of science’s last great unsolved mysteries. How can the salty taste and crunchy texture of potato chips, the unmistakable smell of dogs after they have been in the rain, or the exhilarating feeling of hanging on tiny fingerholds many feet above the last secure foothold on a cliff, emerge from networks of neurons and their associated synaptic and molecular processes? In The Quest for Consciousness, Caltech neuroscientist Christof Koch explores the biological basis of the subjective mind in animals and people. He outlines a framework that he and Francis Crick (of the "double helix") have constructed to come to grips with the ancient mind-body problem. At the heart of their framework is a sustained, empirical approach to discovering and characterizing the neuronal correlates of consciousness – the NCC – the subtle, flickering patterns of brain activity that underlie each and every conscious experience.

The Quest for Consciousness: A Neurobiological Approach

Roberts & Co

See the best price to sell, buy, or rent books by Koch, Christof. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Books by Koch, Christof

See the best price to sell, buy, or rent books by Koch, Christof. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Biophysics of Computation: Information Processing in Single Neurons (Computational Neuroscience Series)

Biophysics of Computation: Information Processing in Single Neurons (Computational Neuroscience Series)

Consciousness: Confessions of a Romantic Reductionist

The Feeling of Life Itself: Why Consciousness Is Widespread but Can't Be Computed

Methods in Neuronal Modeling: From Synapses to Networks (Computational Neuroscience)

Large-Scale Neuronal Theories of the Brain (Computational Neuroscience)

Consciousness: Confessions of a Romantic Reductionist (Mit Press)

The Feeling of Life Itself: Why Consciousness Is Widespread but Can't Be Computed (Mit Press)

Methods in Neuronal Modeling: From Synapses to Networks

The Quest for Consciousness: A Neurobiological Approach