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The Adaptive Brain I
These books bring together recent neural models of vision, speech and language recognition and recall, cognitive self-organization, conditioning, reinforcement, motivation, attention, circadian rhythms, motor control, and certain mental disorders. In addition to unifying and predicting interdisciplinary data from psychology, psychophysiology, neurophysiology, neuropharmacology, and anatomy, the work suggests new real-time circuit designs for computer vision and speech devices, self-organizing pattern recognition machines, parallel processors, and adaptive robots.
Human speech and music share a number of similarities and differences. One of the closest similarities is their temporal nature as both (i) develop over time, (ii) form sequences of temporal intervals, possibly differing in duration and acoustical marking by different spectral properties, which are perceived as a rhythm, and (iii) generate metrical expectations. Human brains are particularly efficient in perceiving, producing, and processing fine rhythmic information in music and speech. However a number of critical questions remain to be answered: Where does this human sensitivity for rhythm arise? How did rhythm cognition develop in human evolution? How did environmental rhythms affect the evolution of brain rhythms? Which rhythm-specific neural circuits are shared between speech and music, or even with other domains? Evolutionary processes’ long time scales often prevent direct observation: understanding the psychology of rhythm and its evolution requires a close-fitting integration of different perspectives. First, empirical observations of music and speech in the field are contrasted and generate testable hypotheses. Experiments exploring linguistic and musical rhythm are performed across sensory modalities, ages, and animal species to address questions about domain-specificity, development, and an evolutionary path of rhythm. Finally, experimental insights are integrated via synthetic modeling, generating testable predictions about brain oscillations underlying rhythm cognition and its evolution. Our understanding of the cognitive, neurobiological, and evolutionary bases of rhythm is rapidly increasing. However, researchers in different fields often work on parallel, potentially converging strands with little mutual awareness. This research topic builds a bridge across several disciplines, focusing on the cognitive neuroscience of rhythm as an evolutionary process. It includes contributions encompassing, although not limited to: (1) developmental and comparative studies of rhythm (e.g. critical acquisition periods, innateness); (2) evidence of rhythmic behavior in other species, both spontaneous and in controlled experiments; (3) comparisons of rhythm processing in music and speech (e.g. behavioral experiments, systems neuroscience perspectives on music-speech networks); (4) evidence on rhythm processing across modalities and domains; (5) studies on rhythm in interaction and context (social, affective, etc.); (6) mathematical and computational (e.g. connectionist, symbolic) models of “rhythmicity” as an evolved behavior.
The articles gathered in this volume represent examples of a unique approach to the study of mental phenomena: a blend of theory and experiment, informed not just by easily measurable laboratory data but also by human introspection. Subjects such as approach and avoidance, desire and fear, and novelty and habit are studied as natural events that may not exactly correspond to, but at least correlate with, some (known or unknown) electrical and chemical events in the brain.
Advances in Computers
First multi-year cumulation covers six years: 1965-70.
Memory and forgetting are inextricably intertwined. In order to understand how memory works we need to understand how and why we forget. The topic of forgetting is therefore hugely important, despite the fact that it has often been neglected in comparison with other features of memory. This volume addresses various aspects of forgetting, drawing from several disciplines, including experimental and cognitive psychology, cognitive and clinical neuropsychology, behavioural neuroscience, neuroimaging, clinical neurology, and computational modeling. The first chapters of the book discuss the history of forgetting, its theories and accounts, the difference between short-term and long-term forgetting as well as the relevance of forgetting within each of the numerous components of memory taxonomy. The central part summarizes and discusses what we have learned about forgetting from animal work, from computational modeling, and from neuroimaging. Further chapters discuss pathological forgetting in patients with amnesia and epilepsy, as well as psychogenic forgetting. The book concludes by focusing on the difference between forgetting of autobiographical memories versus collective memory forgetting. This book is the first to address the issue of forgetting from an interdisciplinary point of view, but with a particular emphasis on psychology. The book is scientific and yet accessible in tone, and as such is suitable for advanced undergraduate and postgraduate students of psychology and related subjects, such as science and neuroscience.