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What are the processes, from conception to adulthood, that enable a single cell to grow into a sentient adult? This work sets out a whole new framework for considering the complex topic of development, integrating data from cognitive studies, computational work, and neuroimaging.
What are the processes, from conception to adulthood, that enable a single cell to grow into a sentient adult? The processes that occur along the way are so complex that any attempt to understand development necessitates a multi-disciplinary approach, integrating data from cognitive studies, computational work, and neuroimaging - an approach till now seldom taken in the study of child development. Neuroconstructivism is a major new 2 volume publication that seeks to redress this balance, presenting an integrative new framework for considering development. Computer and robotic models provide concrete tools for investigating the processes and mechanisms involved in learning and development. Volume 2 illustrates the principles of 'Neuroconstructivist' development, with contributions from 9 different labs across the world. Each of the contributions illustrates how models play a central role in understanding development. The models presented include standard connectionist neural network models as well as multi-agent models. Also included are robotic models emphasizing the need to take embodiment and brain-system interactions seriously. A model of Autism and one of Specific Language Impairment also illustrate how atypical development can be understood in terms of the typical processes of development but operating under restricted conditions. This volume complements Volume 1 by providing concrete examples of how the 'Neuroconstructivist' principles can be grounded within a diverse range of domains, thereby shaping the research agenda in those domains.
What are the processes, from conception to adulthood, that enable a single cell to grow into a sentient adult? The processes that occur along the way are so complex that any attempt to understand development necessitates a multi-disciplinary approach, integrating data from cognitive studies, computational work, and neuroimaging - an approach till now seldom taken in the study of child development. Neuroconstructivism is a major new 2 volume publication that seeks to redress this balance, presenting an integrative new framework for considering development. In the first volume, the authors review up-to-to date findings from neurobiology, brain imaging, child development, computer and robotic modelling to consider why children's thinking develops the way it does. They propose a new synthesis of development that is based on 5 key principles found to operate at many levels of descriptions. They use these principles to explain what causes a number of key developmental phenomena, including infants' interacting with objects, early social cognitive interactions, and the causes of dyslexia. The "neuroconstructivist" framework also shows how developmental disorders do not arise from selective damage to the normal cognitive system, but instead arise from developmental processes that operate under atypical constraints. How these principles work is illustrated in several case studies ranging from perceptual to social and reading development. Finally, the authors use neuroimaging, behavioural analyses, computational simulations and robotic models to provide a way of understanding the mechanisms and processes that cause development to occur.
This comprehensive textbook provides an up-to-date and accessible account of the theories that seek to explain the complex relationship between brain and behaviour. Drawing on the latest research findings from the disciplines of neuropsychology, neuroscience, cognitive neuroscience and cognitive neuropsychology, the author provides contemporary models of neuropsychological processes. The book provides a fresh perspective that takes into account the modern advances of functional neuroimaging and other new research techniques. The emphasis at all times is on bridging the gap between theory and practice - discussion of theoretical models is framed in a clinical context and the author makes frequent use of case studies to illustrate the clinical context. There is coverage of the neuropsychology of disorders associated with areas such as perception, attention, memory and language, emotion, and movement. A third-generation text, this book uniquely aims to integrate these different areas by describing the common influences of these functions. Following on from this there is information on the clinical management of patients in the area of recovery and rehabilitation. These last chapters focus on the author's own experience and illustrate the importance of a more systematic approach to intervention, which takes into account theoretical views of recovery from brain damage. Neuropsychology: From Theory to Practice is the first comprehensive textbook to cover research from all disciplines committed to understanding neuropsychology. It will provide a valuable resource for students, professionals and clinicians.
Educational Neuroscience presents a series of readings from educators, psychologists, and neuroscientists that explore the latest findings in developmental cognitive neurosciences and their potential applications to education. Represents a new research area with direct relevance to current educational practices and policy making Features individual chapters written collaboratively by educationalist, psychologists, and neuroscientists to ensure maximum clarity and relevance to a broad range of readers Edited by a trio of leading academics with extensive experience in the field
In Mind from Body, Don Tucker, one of the most original thinkers about organic information processing, provides a fascinating analysis of how our brains have become what they are today and speculates intriguingly about what they could be tomorrow. He presents important research that explains how personal experience creates the emotional and motivational bases of each of our thoughts, even though we are usually not aware that it is happening. Tucker shows that in exploring how these bodily thought processes still determine how we react to the world andmake decisions, we can become more rational
Philosophy has long puzzled over the relation between mind and brain. This volume presents some of the state-of-the-art reflections on philosophical efforts to 'make sense' of neuroscience, as regards issue including neuroaesthetics, brain science and the law, neurofeminism, embodiment, race, memory and pain.
The first comprehensive treatment of active inference, an integrative perspective on brain, cognition, and behavior used across multiple disciplines. Active inference is a way of understanding sentient behavior—a theory that characterizes perception, planning, and action in terms of probabilistic inference. Developed by theoretical neuroscientist Karl Friston over years of groundbreaking research, active inference provides an integrated perspective on brain, cognition, and behavior that is increasingly used across multiple disciplines including neuroscience, psychology, and philosophy. Active inference puts the action into perception. This book offers the first comprehensive treatment of active inference, covering theory, applications, and cognitive domains. Active inference is a “first principles” approach to understanding behavior and the brain, framed in terms of a single imperative to minimize free energy. The book emphasizes the implications of the free energy principle for understanding how the brain works. It first introduces active inference both conceptually and formally, contextualizing it within current theories of cognition. It then provides specific examples of computational models that use active inference to explain such cognitive phenomena as perception, attention, memory, and planning.
A proposal for a fully post-phrenological neuroscience that details the evolutionary roots of functional diversity in brain regions and networks. The computer analogy of the mind has been as widely adopted in contemporary cognitive neuroscience as was the analogy of the brain as a collection of organs in phrenology. Just as the phrenologist would insist that each organ must have its particular function, so contemporary cognitive neuroscience is committed to the notion that each brain region must have its fundamental computation. In After Phrenology, Michael Anderson argues that to achieve a fully post-phrenological science of the brain, we need to reassess this commitment and devise an alternate, neuroscientifically grounded taxonomy of mental function. Anderson contends that the cognitive roles played by each region of the brain are highly various, reflecting different neural partnerships established under different circumstances. He proposes quantifying the functional properties of neural assemblies in terms of their dispositional tendencies rather than their computational or information-processing operations. Exploring larger-scale issues, and drawing on evidence from embodied cognition, Anderson develops a picture of thinking rooted in the exploitation and extension of our early-evolving capacity for iterated interaction with the world. He argues that the multidimensional approach to the brain he describes offers a much better fit for these findings, and a more promising road toward a unified science of minded organisms.
Updated and expanded to 124 entries, The Cambridge Encyclopedia of Child Development remains the authoritative reference in the field.