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Machinery of the Mind
In the spring of 1987, I was in Havana, Cuba, where I was participating in planning a large-scale longitudinal study of the neurophysiological, neurochemical, and behavioral characteristics of cohorts of patients with cerebrovascular disease, depression, senile dementia, schizophrenia, or learning disabilities; and also part of this study were their first-degree blood relatives. This study was the outgrowth of a long-term project on the practical application of computer methods for the evaluation of brain electrical activity related to anatomical integrity, maturational development, and sensory, perceptual;·-and cognitive processes, especially in chil dren. For many years, that project had ...
Neural Information Processing
The two volume set LNCS 4984 and LNCS 4985 constitutes the thoroughly refereed post-conference proceedings of the 14th International Conference on Neural Information Processing, ICONIP 2007, held in Kitakyushu, Japan, in November 2007, jointly with BRAINIT 2007, the 4th International Conference on Brain-Inspired Information Technology. The 228 revised full papers presented were carefully reviewed and selected from numerous ordinary paper submissions and 15 special organized sessions. The 116 papers of the first volume are organized in topical sections on computational neuroscience, learning and memory, neural network models, supervised/unsupervised/reinforcement learning, statistical learning algorithms, optimization algorithms, novel algorithms, as well as motor control and vision. The second volume contains 112 contributions related to statistical and pattern recognition algorithms, neuromorphic hardware and implementations, robotics, data mining and knowledge discovery, real world applications, cognitive and hybrid intelligent systems, bioinformatics, neuroinformatics, brain-conputer interfaces, and novel approaches.
Handbook of Time Series Analysis
This handbook provides an up-to-date survey of current research topics and applications of time series analysis methods written by leading experts in their fields. It covers recent developments in univariate as well as bivariate and multivariate time series analysis techniques ranging from physics' to life sciences' applications. Each chapter comprises both methodological aspects and applications to real world complex systems, such as the human brain or Earth's climate. Covering an exceptionally broad spectrum of topics, beginners, experts and practitioners who seek to understand the latest developments will profit from this handbook.
Statistica Sinica
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