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Neuronal coding of information coming from external and internal environments and transducted by sensory receptors constitutes a basic biophysical problem. After the coding phase, such information orients organism responses, shaping complex behavioural patterns. The characteristics of both neurons (interneurons with re-entering connections, latency times, filter bandwidth with respect to input signals, logic operations on multiple convergent signals) and neuron nets (reverberating nets, feedback/feed-forward connections, oscillations due to endogenous activity patterns) are important for coding mechanisms. Neuronal coding is implied also in the higher phases of information processing linked to consciousness, when neuronal activity patterns are related to perceptual mental representations.
Experimental and theoretical neuroscientists use Bayesian approaches to analyze the brain mechanisms of perception, decision-making, and motor control.
Intelligence Science: Leading the Age of Intelligence covers the emerging scientific research on the theory and technology of intelligence, bringing together disciplines such as neuroscience, cognitive science, and artificial intelligence to study the nature of intelligence, the functional simulation of intelligent behavior, and the development of new intelligent technologies. The book presents this complex, interdisciplinary area of study in an accessible volume, introducing foundational concepts and methods, and presenting the latest trends and developments. Chapters cover the Foundations of neurophysiology, Neural computing, Mind models, Perceptual intelligence, Language cognition, Learning, Memory, Thought, Intellectual development and cognitive structure, Emotion and affect, and more. This volume synthesizes a very rich and complex area of research, with an aim of stimulating new lines of enquiry. Presents a complex, interdisciplinary area in an accessible way, including the latest trends and developments Brings together disciplines such as neuroscience, cognitive science and artificial intelligence Gives the latest methods and theories in the development of new intelligent technologies Reflects upon the most important achievements in the study of natural and artificial intelligence Contextualizes intelligence research within the history and progress of twenty-first century science
Intended for neurobiologists with an interest in mathematical analysis of neural data as well as the growing number of physicists and mathematicians interested in information processing by "real" nervous systems, Spikes provides a self-contained review of relevant concepts in information theory and statistical decision theory.
This book provides a most complete overview of physiological and psychophysical properties of perceptual systems in man and animals. The information processing chains are described step-by-step from the stimuli of the respective environments, via the perceptual neuronal coding networks to conscious sensations and behaviour.Articles by W G K Backhaus, A G Clark, B Hiley, A Iznak, M Kavaliers, B Kramer, A Michelsen, C Neumeyer, G A Orban, T Radil, D G Stavenga, M Stengl, U Thurm, R L DeValois, R Wehner, J S Werner, W Wiltschko, and related short articles.
Harmony is an integral part of our auditory environment. Resonances characterised by harmonic frequency relationships are found throughout the natural world and harmonic sounds are essential elements of speech, communication and, of course, music. Providing neurophysiological data and theories that are suitable to explain the neural code of pitch and harmony, the author demonstrates that musical pitch is a temporal phenomenon and musical harmony is a mathematical necessity based on neuronal mechanisms. Moreover, he offers new evidence for the role of an auditory time constant for speech and music perception as well as for similar neuronal processing mechanisms of auditory and brain waves. Successfully relating current neurophysiological results to the ancient ideas of Pythagoras, this unique title will appeal to specialists in the fields of neurophysiology, neuroacoustics, linguistics, behavioural biology and musicology as well as to a broader audience interested in the neural basis of music perception.
This solid introduction uses the principles of physics and the tools of mathematics to approach fundamental questions of neuroscience.
Develops a theory of how language is processed in the brain and provides a state-of-the-art review of current neuroscientific debates.
An exploration of ideas emanating from behavioural, developmental, neurophysiological, neuropsychological and computational approaches to the problem of visual perceptual organization. It is based on papers presented at the 31st Carnegie Symposium on Cognition, held in June 2000.