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The neocortical column
The columnar organization is currently the most widely held hypothesis to explain the cortical processing of information, making its study of potential interest to any researcher interested in the cerebral cortex, both in a healthy and pathological state. Enough data are now available so that the Blue Brain Project can realistically tackle a model of the sensory column in rat. Few will deny however, that a comprehensive framework of the function and structure of columns has remained elusive. One set of persistent problems, as frequently remarked, is nomenclature. "Column" is used freely and promiscuously to refer to multiple, distinguishable entities; for example, cellular or dendritic minic...
A System Architecture Approach to the Brain
This book is the integrated presentation of a large body of work on understanding the operation of biological brains as systems. The work has been carried out by the author over the last 22 years, and leads to a claim that it is relatively straightforward to understand how human cognition results from and is supported by physiological processes in the brain. This claim has roots in the technology for designing and manufacturing electronic systems which manage extremely complex telecommunications networks with high reliability, in real time and with no human intervention. Such systems perform very large numbers of interacting control features. Although there is little direct resemblance between such systems and biological brains, the ways in which these practical considerations force system architectures within some specific bounds leads to an understanding of how different but analogous practical considerations constrain the architectures of brains within different bounds called the Recommendation Architecture. These architectural bounds make it possible to relate cognitive phenomena to physiological processes.
Biocomputing '98 - Proceedings Of The Pacific Symposium
The Pacific Symposium on Biocomputing brings together key researchers from the international biocomputing community. PSB is designed to be maximally responsive to the need for critical mass in subdisciplines within biocomputing. These proceedings contain peer-reviewed articles in computational biology.
Traverso
Photographic reprints of quarterly newsletters, with original pagings.
Musick
None
Development of the Cerebral Cortex
This book details the rapidly advancing research on the development of the cerebral cortex. Topics covered include: new physiological data showing patterns in developing cortical organization; abnormalities of cortical development associated with psychiatric disorders; and research on cell identity and regionalization of the cortex.
Principles of Computational Modelling in Neuroscience
Providing a step-by-step and practical account of how to model neurons and neural circuitry, this textbook is designed for advanced undergraduate and postgraduate students of computational neuroscience as well as for researchers in neuroscience and related sciences wishing to apply computational approaches to interpret data and make predictions.
A Debtor World
A Debtor World contains a collection of contributions about the societal implications of private debt. The essays comprising this volume are authored by dozens of leading U.S. and international academics who have written about debt or issues related to debt in a wide range of disciplines including law, sociology, psychology, history, economics, and more. The goal of this collection is to explore debt neither as a problem nor a solution but as a phenomenon and to promote the exchange of knowledge to better comprehend why consumers and businesses decide to borrow money. It asks what happens to businesses and consumers under a heavy debt load, and what legal norms and institutions societies need to encourage the efficient use of debt while promoting a greater understanding of the global phenomenon of increased indebtedness and societal dependence.
Neural Systems: Analysis and Modeling
In recent years there has been tremendous activity in computational neuroscience resulting from two parallel developments. On the one hand, our knowledge of real nervous systems has increased dramatically over the years; on the other, there is now enough computing power available to perform realistic simulations of actual neural circuits. This is leading to a revolution in quantitative neuroscience, which is attracting a growing number of scientists from non-biological disciplines. These scientists bring with them expertise in signal processing, information theory, and dynamical systems theory that has helped transform our ways of approaching neural systems. New developments in experimental ...
