This book provides an overview of neural information processing research, which is one of the most important branches of neuroscience today. Neural information processing is an interdisciplinary subject, and the merging interaction between neuroscience and mathematics, physics, as well as information science plays a key role in the development of this field. This book begins with the anatomy of the central nervous system, followed by an introduction to various information processing models...

The nervous system is made up of a large number of interacting elements. To understand how such a complex system functions requires the construction and analysis of computational models at many different levels. This book provides a step-by-step account of how to model the neuron and neural circuitry to understand the nervous system at all levels, from ion channels to networks. Starting with a simple model of the neuron as an electrical circuit, gradually more details are added to include ...

The book presents an integrative review of paleoneurology, the study of endocranial morphology in fossil species. The main focus is on showing how computed methods can be used to support advances in evolutionary neuroanatomy, paleoanthropology and archaeology and how they have contributed to creating a completely new perspective in cognitive neuroscience. Moreover, thanks to its multidisciplinary approach, the book addresses students and researchers approaching human paleoneurology from di...

The book is a sequel of a similar book, edited by Randolf Menzel and Alison Mercer, “Neurobiology and Behavior of Honeybees”, published in 1987. It is a “Festschrift” for the 70th birthday of Randolf Menzel, who devoted his life to the topic of the book. The book will include an open commentary for each section written by Randolf Menzel, and discussed with the authors. The written contributions take their inspiration from a symposium on the topic, with all the authors, that was held in Ber...

Neuroscience Databases: A Practical Guide is the first book providing a comprehensive overview of these increasingly important databases. This volume makes the results of the Human Genome Project and other recent large-scale initiatives in the neurosciences available to a wider community. It extends the scope of bioinformatics from the molecular to the cellular, microcircuitry and systems levels, dealing for the first time with complex neuroscientific issues and leading th...

Dynamic-clamp is a fascinating electrophysiology technique that consists of merging living neurons with computational models. The dynamic-clamp (also called “conductance injection”) allows experimentalists and theoreticians to challenge neurons (or any other type of cell) with complex conductance stimuli generated by a computer.The technique can be implemented from neural simulation environments and a variety of custom-made or commercial systems. The real-time interaction between t...

This book is a major update of novel targets in angiogenesis modulation, including pro- and anti-angiogenesis. There is in-depth coverage of preclinical and clinical methods and models, investigational status, and clinical applications. The impact of nanotechnology in advancing the applications of pro-and anti-angiogenesis strategies is also highlighted, along with stem cell and biotechnologies in research and development of angiogenesis modulating targets.

This book is intended for use in advanced graduate courses in statistics / machine learning, as well as for all experimental neuroscientists seeking to understand statistical methods at a deeper level, and theoretical neuroscientists with a limited background in statistics. It reviews almost all areas of applied statistics, from basic statistical estimation and test theory, linear and nonlinear approaches for regression and classification, to model selection and methods for dimensionality ...

For ‘Recent Progress in Brain and Cognitive Engineering’Brain and Cognitive Engineering is a converging study field to derive a better understanding of cognitive information processing in the human brain, to develop “human-like” and neuromorphic artificial intelligent systems and to help predict and analyze brain-related diseases.The key concept of Brain and Cognitive Engineering is to understand the Brain, to interface the Brain, and to engineer the Brain. It coul...

This book discusses the ways in which mathematical, computational, and modelling methods can be used to help understand the dynamics of intracellular calcium. The concentration of free intracellular calcium is vital for controlling a wide range of cellular processes, and is thus of great physiological importance. However, because of the complex ways in which the calcium concentration varies, it is also of great mathematical interest.This book presents the general modelling theory as well a...

Drug addiction remains one of the most important public health problems in western societies and is a rising concern for developing nations. Over the past 3 decades, experimental research on the neurobiology and psychology of drug addiction has generated a torrent of exciting data, from the molecular up to the behavioral levels. As a result, a new and pressing challenge for addiction research is to formulate a synthetic theoretical framework that goes well beyond mere scientific eclectism ...

The past two decades have seen unparalleled developments in our knowledge of the brain and mind. However, these advances have forced us to confront head-on some significant ethical issues regarding our application of this information in the real world- whether using brain images to establish guilt within a court of law, or developing drugs to enhance cognition. Historically, any consideration of the ethical, legal, and social implications of emerging technologies in science and medicine ha...