Synopsis
Cognitive Neuroscience.- Effects of Stimuli Intensity and Frequency on Auditory P50 and N100 Sensory Gating.- On Building a Memory Evolutive System for Application to Learning and Cognition Modeling.- Agent-Based Cognitive Model for Human Resources Competence Management.- Neural Accumulator Models of Decision Making in Eye Movements.- Biologically Inspired Systems.- On Building Meaning: A Biologically-Inspired Experiment on Symbol-Based Communication.- Perception-Action Learning as an Epistemologically-Consistent Model for Self-Updating Cognitive Representation.- Detection of Auditory Cortex Activity by fMRI Using a Dependent Component Analysis.- Brain-Computer Interface Using Wavelet Transformation and Naïve Bayes Classifier.- Neuromorphic Systems: Past, Present and Future.- Preface for Neural Computation (NC 2008).- Genetic Algorithm Applied to Hierarchically Coupled Associative Memories.- Vector Quantization of Speech Frames Based on Self-Organizing Maps.- The Use of Bayesian Networks for Heart Beat Classification.- A Histogram Based Method for Multiclass Classification Using SVMs.- Models of Consciousness Ron Chrisley and Rob Clowes.- A Functional Approach to Emotion in Autonomous Systems.- A Robot Architecture Based on Higher Order Perception Loop.- The Consciousness Circuit - An Approach to the Hard Problem.- Computational Consciousness: Building a Self-Preserving Organism.- The Hippocampal System as the Cortical Resource Manager: A Model Connecting Psychology, Anatomy and Physiology.- Cognitive Measure on Different Profiles.
"synopsis" may belong to another edition of this title.
Review
From the reviews of the first edition:
"The authors ... describe their effort as that of ‘combining the features of a research monograph and a textbook.’ They suggest that the book - or selected chapters of it - might be used for an introductory course on decision problems, undecidability, and the complexity of decision procedures. ... So there is usually a lot to think about in making sense of the author’s arguments. This is part of what makes this book so enjoyable." (R. Gregory Taylor, The Review of Modern Logic, Vol. 9 (3-4), 2004)
"This is the most comprehensive treatment available in book form of the classical decision problem of mathematical logic and of the role of the classical decision problem in modern computer science. A revealing analysis of the natural order of decidable and undecidable cases is given. ... Many cases are treated here for the first time, and a great number of simple proofs and exercises have been included." (L’Enseignement Mathematique, Vol. 48 (1-2), 2002)
"The book is dedicated to a comprehensive presentation of the classical decision problem of first-order logic. ... This book is an essential reference for any researcher in logic, complexity, and artificial intelligence. ... Historical references that are placed at the end of each chapter are very enjoyable and help the reader follow the literature and gain a perspective of the field. ... an excellent reference book for researchers in the field, and for advanced doctoral students in theoretical computer science and logic." (Dan A. Simovici, SIGACT News, Vol. 35 (1), 2004)
"About this title" may belong to another edition of this title.
