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Neuronal Noise
Neuronal Noise combines experimental, theoretical and computational results to show how noise is inherent to neuronal activity, and how noise can be important for neuronal computations. The book covers many aspects of noise in neurons, with an emphasis on the largest source of noise: synaptic noise. It provides students and young researchers with an overview of the important methods and concepts that have emerged from research in this area. It also provides the specialist with a summary of the large body of sometimes contrasting experimental data, and different theories proposed to explore the computational power that various forms of "noise" can confer to neurons.
Electrochemical Sensor Analysis
Electrochemical Sensor Analysis (ECSA) presents the recent advances in electrochemical (bio)sensors and their practical applications in real clinical, environment, food and industry related samples, as well as in the safety and security arena. In a single source, it covers the entire field of electrochemical (bio)sensor designs and characterizations. The 38 chapters are grouped in seven sections: 1) Potentiometric sensors, 2) Voltammetric sensors, 3) Electrochemical gas sensors 4) Enzyme-based sensors 5) Affinity biosensors 6) Thick and thin film biosensors and 7) Novel trends. Written by experts working in the diverse technological and scientific fields related to electrochemical sensors, each section provides an overview of a specific class of electrochemical sensors and their applications. This interdisciplinary text will be useful for researchers and professionals alike. - Covers applications and problem solving (sensitivity, interferences) in real sample analysis - Details procedures to construct and characterize electrochemical (bio)sensors
Dynamical Cognitive Science
An introduction to the application of dynamical systems science to the cognitive sciences. Dynamical Cognitive Science makes available to the cognitive science community the analytical tools and techniques of dynamical systems science, adding the variables of change and time to the study of human cognition. The unifying theme is that human behavior is an "unfolding in time" whose study should be augmented by the application of time-sensitive tools from disciplines such as physics, mathematics, and economics, where change over time is of central importance. The book provides a fast-paced, comprehensive introduction to the application of dynamical systems science to the cognitive sciences. Top...
Advances in Natural Computation
Annotation. This is volume I of the proceedings of the Second International Conference on Natural Computation, ICNC 2006. After a demanding review process 168 carefully revised full papers and 86 revised short papers were selected from 1915 submissions for presentation in two volumes. This first volume includes 130 papers related to artificial neural networks, natural neural systems and cognitive science, neural network applications, as well as evolutionary computation: theory and algorithms.
