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When it comes to robotics and bioinformatics, the Holy Grail everyone is seeking is how to dovetail logic-based inference and statistical machine learning. This volume offers some possible solutions to this eternal problem. Edited with flair and sensitivity by Hammer and Hitzler, the book contains state-of-the-art contributions in neural-symbolic integration, covering `loose' coupling by means of structure kernels or recursive models as well as `strong' coupling of logic and neural networks.
Advances in Physiological Sciences, Volume 30: Neural Communication and Control is a collection of papers presented at the 1980 satellite symposium of the 28th International Congress of Physiological Science, held in Visegrá Hungary. This volume is composed of 26 chapters and begins with a description of nervous elements and systems on the phylogenetic scale. The succeeding chapters review studies on the excitable membrane, the properties of a single neuron, of small and large neuronal ensembles and of systems of increasing complexity, considering physiological and anatomical aspects, as well as experimenting and modeling. Other chapters explore the whole-brain function based on a conscious experience. The remaining chapters examine the understanding the neural basis of cognitive experience through experiment on evaluative cognitive agency in "split-brain" patients. This book is of value to physiologists, neurologists, and researchers.
This revised edition offers an approach to information theory that is more general than the classical approach of Shannon. Classically, information is defined for an alphabet of symbols or for a set of mutually exclusive propositions (a partition of the probability space Ω) with corresponding probabilities adding up to 1. The new definition is given for an arbitrary cover of Ω, i.e. for a set of possibly overlapping propositions. The generalized information concept is called novelty and it is accompanied by two concepts derived from it, designated as information and surprise, which describe "opposite" versions of novelty, information being related more to classical information theory and surprise being related more to the classical concept of statistical significance. In the discussion of these three concepts and their interrelations several properties or classes of covers are defined, which turn out to be lattices. The book also presents applications of these concepts, mostly in statistics and in neuroscience.
''Emphasis on new issues and emerging concepts insures that the information presented is still timely...A compelling source of information on recent research in the field.'' ---Journal of Chemical Neuroanatomy, May 1997
In this essay we propose a view of the cerebral cortex from an unusual angle, determined by our search for the most general statements on the relation between cortical structure and function. Our results may be at variance with the ideas of those physiologists who have specialized subsystems of the cortex in mind, but are not in contrast with them, as we hope to show. Our view is akin to one presented by Moshe Abeles in his monograph Local Cortical Circuits ( 1982). It is related to the theory developed by Gunther Palm, for many years our partner, in Neural Assemblies (1982). It owes much to the ideas which inspire the work of George Gerstein (beginning with the classic: Gerstein 1962) and e...
The last decade has seen a rise in popularity in construction-based approaches to grammar. The various approaches within the rubric 'construction grammar' all see language as a network of constructions-pairings of form and meaning. Construction Grammar, as a kind of cognitive linguistics, differs significantly from mainstream generative grammar as espoused by Chomsky and his followers. Advocates of Construction Grammar see it as a psychologically plausible theory of human language. As such, it is capable of providing a principled account of language acquisition, language variation and language change. Research in Construction Grammar also includes multidisciplinary cognitive studies in psycholinguistics, neurolinguistics, and computational linguistics. The Oxford Handbook of Construction Grammar is the first authoritative reference work solely dedicated to Construction Grammar. Divided into five sections, the book will be an invaluable resource that students and scholars alike can turn to for a comprehensive account of current work on Construction Grammar, its theoretical foundations, and its applications to and relationship with other kinds of linguistic enquiry.
The story of a neural impulse and what it reveals about how our brains work We see the last cookie in the box and think, can I take that? We reach a hand out. In the 2.1 seconds that this impulse travels through our brain, billions of neurons communicate with one another, sending blips of voltage through our sensory and motor regions. Neuroscientists call these blips “spikes.” Spikes enable us to do everything: talk, eat, run, see, plan, and decide. In The Spike, Mark Humphries takes readers on the epic journey of a spike through a single, brief reaction. In vivid language, Humphries tells the story of what happens in our brain, what we know about spikes, and what we still have left to u...
This volume presents a series of studies that expand laws, invariants, and principles of psychophysics beyond its classical domain of sensation. This book's goal is to demonstrate the extent of the domain of psychophysics, ranging from sensory processes, through sensory memory and short-term memory issues, to the interaction between sensation and action. The dynamics and timing of human performance are a further important issue within this extended framework of psychophysics: Given the similarity of the various cortical areas in terms of their neuroanatomical structure, it is an important question whether this similarity is paralleled by a similarity of processes. These issues are addressed ...
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, i...