This book focuses on the data mining, systems biology, and bioinformatics computational methods that can be used to summarize biological networks. Specifically, it discusses an array of techniques rel
This textbook presents a wide range of subjects in neuroscience from a computational perspective. It offers a comprehensive, integrated introduction to core topics, using
As neural data becomes increasingly complex, neuroscientists now require skills in computer programming, statistics, and data analysis. This book teaches practical neural
Before The Computational Brain was published in 1992, conceptual frameworks for brain function were based on the behavior of single neurons, applied globally. In The Computational Brain, Patricia Ch
The ventral visual stream is believed to underlie object recognition in primates. Over the past fifty years, researchers have developed a series of quantitative models th
This unique text presents a selection of innovative computational techniques to enable the efficient analysis of biological processes in large video sequences and databases. Features: provides a detai
This unique textbook/reference presents unified coverage of bioinformatics topics relating to both biological sequences and biological networks, providing an in-depth analysis of cutting-edge distribu
This book presents a guide to building computational gene finders, and describes the state of the art in computational gene finding methods, with a focus on comparative approaches. Fully updated and e
This comprehensive textbook presents a self-contained guide to bioinformatics, defined in its broadest sense as the application of information science to biology. Thoroughly updated and greatly expand
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
This book explores association mapping in experimental populations and genome-wide association studies (GWAS), emphasizing methods based on modifications of Bayesian information criterion, for handlin
The consideration of time or dynamics is fundamental for all aspects of mentalactivity--perception, cognition, and emotion--because the main feature of brain activity is thecontinuous change of the un
In Biological Learning and Control, Reza Shadmehr and SandroMussa-Ivaldi present a theoretical framework for understanding the regularity of the brain'sperceptions, its reactions to sensory stimuli,
Over the past sixty years, powerful methods of model-based control engineering havebeen responsible for such dramatic advances in engineering systems as autolanding aircraft,autonomous vehicles, and e
Vision is a massively parallel computational process, in which the retinal image istransformed over a sequence of stages so as to emphasize behaviorally relevant information (such asobject category an
This book provides an introduction into both computational models and experimental paradigms that are concerned with sensory cue integration both within and between sensory modalities. Importantly, ac
A Bayesian approach can contribute to an understanding of the brain on multiplelevels, by giving normative predictions about how an ideal sensory system should combine priorknowledge and observation,
This unique volume surveys state-of-the-art research on statistical methods in molecular and systems biology, with contributions from leading experts in the field. Each chapter discusses theoretical a
In order to model neuronal behavior or to interpret the results of modeling studies, neuroscientists must call upon methods of nonlinear dynamics. This book offers an introduction to nonlinear dynamic
This book offers an introduction to current methods in computational modeling in neuroscience. The book describes realistic modeling methods at levels of complexity ranging from molecular interaction
This book presents the most comprehensive and methodical work on the theory of the moirAc phenomenon, providing a full general-purpose and application-independent exposition of this fascinating effec
Biomolecular sequence comparison is the origin of bioinformatics. Today, powerful sequence comparison methods, together with comprehensive biological databases, have changed the practice of molecular
Wilfrid Rall was a pioneer in establishing the integrative functions of neuronal dendrites that have provided a foundation for neurobiology in general and computational neuroscience in particular. Thi
The huge number and broad range of the existing and potential applications of fuzzy logic have precipitated a veritable avalanche of books published on the subject. Most, however, focus on particular
This text provides an introduction to computational aspects of early vision, in particular, color, stereo, and visual navigation. It integrates approaches from psychophysics and quantitative neurobiol
What does it mean to say that a certain set of spikes is the right answer to a computational problem? In what sense does a spike train convey information about the sensory world? Spikes begins by pro
The study of cortical oscillations is of great interest to those working in many areas of neuroscience. A fast coherent EEG rhythm called gamma or "40 Hz" has been implicated in cognition, as it may p
Provides an introduction to the neural network modeling of complex cognitive and neuropsychological processes.Over the past few years, computer modeling has become more prevalent in the clinical scien
Presents the biology and computational features of the basal ganglia and their related cortical areas, and discusses how this knowledge can be integrated into neural network models. Offers chapters on
The Computational Brain is the first unified and broadly accessible book to bring together computational concepts and behavioral data within a neurobiological framework. Churchland and Sejnowski addr
Heiligenberg's pioneering research describes the behavior of one species, the jamming avoidance response in the electric fish Eigenmannia, providing a rich mine of data that documents the first verteb
