The problem of how the brain produces consciousness, subjectivity and "something it is like to be" remains one of the greatest challenges to a complete science of the natural world. While various scientists and philosophers approach the problem from their own unique perspectives and in the terms of their own respective fields, Biophysics of Consciousness: A Foundational Approach attempts a consilience across disparate disciplines to explain how it is possible that an objective brain produces subjective experience. This volume unites the crème de la crème of physicists, neuroscientists, and psychiatrists in the attempt to understand consciousness through a foundational approach encompassing ontological, evolutionary, neurobiological, and Freudian interpretations with the focus on conscious phenomena occurring in the brain. By integrating the perspectives of these diverse disciplines with the latest research and theories on the biophysics of the brain, the book tries to explain how consciousness can be an adaptive and causal element in the natural world.

The phenomenon of consciousness has long been one of the great mysteries of life, perhaps because it is inexplicable in terms of the deterministic theories of classical science. Today there is some consensus that the key to the understanding of the workings of the mind should be sought in the area of indeterministic quantum mechanics, but until recently there has been little substantial progress in unravelling the mystery. This book is the culmination of several decades of research by the authors in the physical sciences, neurosciences and computer sciences, with comprehensive summaries and references to related work by many other scientists, and presents important advances toward solving the problem. Written for the most part in plain language but supported by appropriate symbolism, the book is truly interdisciplinary, designed for the needs of a wide variety of students and scholars.

The experience of emotion is a ubiquitous component of the stream of consciousness; emotional qualia interact with other contents and processes of consciousness in complex ways. Recent research has supported the hypothesis that important functional aspects of emotion can operate outside the conscious awareness. Primary types of emotions are found in animals, while secondary, more complex types are involved in interpersonal relationships. Emotions both influence genetic repair mechanisms of individuals and are responsible for group behavior. Many scholars and scientists believe that no scientific or philosophic account of consciousness can be complete without an understanding of the role of emotion.

Scholars from many different disciplines examine consciousness through the lens of intellectual approaches and cultures ranging from cosmology research and cell biophysics laboratories to pre-Columbian Mesoamerica and Tibetan Tantric Buddhism in a volume that extends consciousness studies beyond the limits of current neuroscience research. The "hard problem" of today's consciousness studies is subjective experience: understanding why some brain processing is accompanied by an experienced inner life. Recent scientific advances offer insights for understanding the physiological and chemical phenomenology of consciousness. But by leaving aside the internal experiential nature of consciousness in favor of mapping neural activity, such science leaves many questions unanswered. In Ontology of Consciousness, scholars from a range of disciplines—from neurophysiology to parapsychology, from mathematics to anthropology and indigenous non-Western modes of thought—go beyond these limits of current neuroscience research to explore insights offered by other intellectual approaches to consciousness. These scholars focus their attention on such philosophical approaches to consciousness as Tibetan Tantric Buddhism, North American Indian insights, pre-Columbian Mesoamerican civilization, and the Byzantine Empire. Some draw on artifacts and ethnographic data to make their point. Others translate cultural concepts of consciousness into modern scientific language using models and mathematical mappings. Many consider individual experiences of sentience and existence, as seen in African communalism, Hindi psychology, Zen Buddhism, Indian vibhuti phenomena, existentialism, philosophical realism, and modern psychiatry. Some reveal current views and conundrums in neurobiology to comprehend sentient intellection. Contributors Karim Akerma, Matthijs Cornelissen, Antoine Courban, Mario Crocco, Christian de Quincey, Thomas B. Fowler, Erlendur Haraldsson, David. J. Hufford, Pavel B. Ivanov, Heinz Kimmerle, Stanley Krippner, Armand J. Labbé, James Maffie, Hubert Markl, Graham Parkes, Michael Polemis, E Richard Sorenson, Mircea Steriade, Thomas Szasz, Mariela Szirko, Robert A.F. Thurman, Edith L.B. Turner, Julia Watkin, Helmut Wautischer

Seeks answers to these questions using the underlying assumption that consciousness can be understood using the intellectual potential of modern physics and other sciences. There are a number of theories of consciousness, some based on classical physics while others require the use of quantum concepts. The latter ones have drawn criticism from the parts of the scientific establishment while simultaneously claiming that classical approaches are doomed to failure. The contributing authors presents a spectrum of opinions from both sides of this on-going scientific debate, allowing readers to decide for themselves which of the approaches are most likely to succeed.

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.

Consciousness is the major unsolved problem in biology. Written as an introduction to the field and drawing upon clinical, psychological and physiological observations, this book seeks to answer questions of consciousness within a neuroscientific framework.