The Brain Abstracted


Book Description

An exciting, new framework for interpreting the philosophical significance of neuroscience. All science needs to simplify, but when the object of research is something as complicated as the brain, this challenge can stretch the limits of scientific possibility. In fact, in The Brain Abstracted, an avowedly “opinionated” history of neuroscience, M. Chirimuuta argues that, due to the brain’s complexity, neuroscientific theories have only captured partial truths—and “neurophilosophy” is unlikely to be achieved. Looking at the theory and practice of neuroscience, both past and present, Chirimuuta shows how the science has been shaped by the problem of brain complexity and the need, in science, to make things as simple as possible. From this history, Chirimuuta draws lessons for debates in philosophy of science over the limits and definition of science and in philosophy of mind over explanations of consciousness and the mind-body problem. The Brain Abstracted is the product of a historical rupture that has become visible in the twenty-first century, between the “classical” scientific approach, which seeks simple, intelligible principles underlying the manifest complexity of nature, and a data-driven engineering approach, which dispenses with the search for elegant, explanatory laws and models. In the space created by this rupture, Chirimuuta finds grounds for theoretical and practical humility. Her aim in The Brain Abstracted is not to reform neuroscience, or offer advice to neuroscientists, but rather to interpret their work—and to suggest a new framework for interpreting the philosophical significance of neuroscience.




Brain Computation as Hierarchical Abstraction


Book Description

An argument that the complexities of brain function can be understood hierarchically, in terms of different levels of abstraction, as silicon computing is. The vast differences between the brain's neural circuitry and a computer's silicon circuitry might suggest that they have nothing in common. In fact, as Dana Ballard argues in this book, computational tools are essential for understanding brain function. Ballard shows that the hierarchical organization of the brain has many parallels with the hierarchical organization of computing; as in silicon computing, the complexities of brain computation can be dramatically simplified when its computation is factored into different levels of abstraction. Drawing on several decades of progress in computational neuroscience, together with recent results in Bayesian and reinforcement learning methodologies, Ballard factors the brain's principal computational issues in terms of their natural place in an overall hierarchy. Each of these factors leads to a fresh perspective. A neural level focuses on the basic forebrain functions and shows how processing demands dictate the extensive use of timing-based circuitry and an overall organization of tabular memories. An embodiment level organization works in reverse, making extensive use of multiplexing and on-demand processing to achieve fast parallel computation. An awareness level focuses on the brain's representations of emotion, attention and consciousness, showing that they can operate with great economy in the context of the neural and embodiment substrates.




Abstraction in Artificial Intelligence and Complex Systems


Book Description

Abstraction is a fundamental mechanism underlying both human and artificial perception, representation of knowledge, reasoning and learning. This mechanism plays a crucial role in many disciplines, notably Computer Programming, Natural and Artificial Vision, Complex Systems, Artificial Intelligence and Machine Learning, Art, and Cognitive Sciences. This book first provides the reader with an overview of the notions of abstraction proposed in various disciplines by comparing both commonalities and differences. After discussing the characterizing properties of abstraction, a formal model, the KRA model, is presented to capture them. This model makes the notion of abstraction easily applicable by means of the introduction of a set of abstraction operators and abstraction patterns, reusable across different domains and applications. It is the impact of abstraction in Artificial Intelligence, Complex Systems and Machine Learning which creates the core of the book. A general framework, based on the KRA model, is presented, and its pragmatic power is illustrated with three case studies: Model-based diagnosis, Cartographic Generalization, and learning Hierarchical Hidden Markov Models.




Conscious and Unconscious Programs in the Brain


Book Description

For almost a century now, since Freud described the basic motivations and Pavlov the basic mechanisms of human behavior, we have had a reasonable concept of the forces that drive us. Only recently have we gained any real insight into how the brain really works to produce such behavior. The new developments in cognitive psychology and neuroscience have taught us things about the function of the brain that would have been inconceivable even ten years ago. Yet, there still remains a tremendous gap between the two studies-human behavior and brain function-a gap which often seems irrec oncilable in view of the basic differences in the methodologies and approaches of the two fields. Students of behavior are frequently disinterested in the underlying neu rophysiology while neurophysiologists tend to consider the concepts of psychiatrists and clinical psychologists too vague and theoretical to be applicable to their own more limited schemata. Several valiant attempts have been made by experimentalists to develop a theoretical context in which behavior is described, not separately from brain function but rather as its direct outgrowth. This present work is still another attempt to develop a theoretical system which, given the limitations of our present knowledge, as completely as possible, the underlying brain mechanisms that influ will describe ence and determine human behavior. The main emphasis of this work, however, will be not on normal behavior but rather on more neurotic manifestations.




The Abstraction Engine


Book Description

The main thesis of this book is that abstraction, far from being confined to higher forms of cognition, language and logical reasoning, has actually been a major driving force throughout the evolution of creatures with brains. It is manifest in emotive as well as rational thought. Wending its way through the various facets of abstraction, the book attempts to clarify – and relate – the often confusing meanings of the word ‘abstract’ that one may encounter even within the same discipline. The unusual synoptic approach, which draws upon research in psychology, neural network theory, child language acquisition, philosophy and consciousness studies, as well as a variety of linguistic disciplines, cannot be compared directly to other books on the market that touch upon just one particular aspect of abstraction. It is aimed at a wide readership – anyone interested in the nature of abstraction and the cognitive processing and purpose behind it. (series A)




The Iconology of Abstraction


Book Description

This book uncovers how we make meaning of abstraction, both historically and in present times, and examines abstract images as a visual language. The contributors demonstrate that abstraction is not primarily an artistic phenomenon, but rather arises from human beings’ desire to imagine, understand and communicate complex, ineffable concepts in fields ranging from fine art and philosophy to technologies of data visualization, from cartography and medicine to astronomy. The book will be of interest to scholars working in image studies, visual studies, art history, philosophy and aesthetics.




Neuroscience and Philosophy


Book Description

Philosophers and neuroscientists address central issues in both fields, including morality, action, mental illness, consciousness, perception, and memory. Philosophers and neuroscientists grapple with the same profound questions involving consciousness, perception, behavior, and moral judgment, but only recently have the two disciplines begun to work together. This volume offers fourteen original chapters that address these issues, each written by a team that includes at least one philosopher and one neuroscientist who integrate disciplinary perspectives and reflect the latest research in both fields. Topics include morality, empathy, agency, the self, mental illness, neuroprediction, optogenetics, pain, vision, consciousness, memory, concepts, mind wandering, and the neural basis of psychological categories. The chapters first address basic issues about our social and moral lives: how we decide to act and ought to act toward each other, how we understand each other’s mental states and selves, and how we deal with pressing social problems regarding crime and mental or brain health. The following chapters consider basic issues about our mental lives: how we classify and recall what we experience, how we see and feel objects in the world, how we ponder plans and alternatives, and how our brains make us conscious and create specific mental states.




The Future of the Brain


Book Description

The world's top experts take readers to the very frontiers of brain science Includes a chapter by 2014 Nobel laureates May-Britt Moser and Edvard Moser An unprecedented look at the quest to unravel the mysteries of the human brain, The Future of the Brain takes readers to the absolute frontiers of science. Original essays by leading researchers such as Christof Koch, George Church, Olaf Sporns, and May-Britt and Edvard Moser describe the spectacular technological advances that will enable us to map the more than eighty-five billion neurons in the brain, as well as the challenges that lie ahead in understanding the anticipated deluge of data and the prospects for building working simulations of the human brain. A must-read for anyone trying to understand ambitious new research programs such as the Obama administration's BRAIN Initiative and the European Union's Human Brain Project, The Future of the Brain sheds light on the breathtaking implications of brain science for medicine, psychiatry, and even human consciousness itself. Contributors include: Misha Ahrens, Ned Block, Matteo Carandini, George Church, John Donoghue, Chris Eliasmith, Simon Fisher, Mike Hawrylycz, Sean Hill, Christof Koch, Leah Krubitzer, Michel Maharbiz, Kevin Mitchell, Edvard Moser, May-Britt Moser, David Poeppel, Krishna Shenoy, Olaf Sporns, Anthony Zador.




Beyond the Brain


Book Description

Cognitive science faces a major methodological and conceptual change since the 90's. Whereas the brain was traditionally conceived as being the only seat of intelligence, many researches emphasize the entrenchment of the brain in body, context and culture. In 2006, a conference was held at the Université du Québec à Montréal (UQAM) and allowed researchers from various fields to interact and discuss such issues. Cognitio 2006 was an occasion for philosophers, cognitive scientists and biologists to present the latest developments in their discipline, and this book aims at providing a general overview of current research on embodied, situated and distributed cognition.




The Human Brain


Book Description