- Table View
- List View
Neural Aspects of Tactile Sensation (Advances in Psychology #Volume 127)
by J. W. MorleyThe world within reach is characterised to a large extent by our ability to sense objects through touch. Research into the sensation of touch has a long history. However, it is only relatively recently that significant advances have been made in understanding how information about objects we touch is represented in both the peripheral and central divisions of the nervous systems. This volume draws together the increasing body of knowledge regarding the mechanisms underlying tactile sensation and how they relate to tactile perception.Individual chapters address; the response of mechanoreceptors to stimuli (including movement and shape), the role of the somatosensory cortex in processing tactile information, the psychophysics and neurophysiology of the detection and categorisation of somesthetic stimuli, perceptual constancy, recent findings in regard to short term and long term plasticity in the somatosensory cortex and the psychophysical correlates of this plasticity, and parallel versus serial information processing in the cortex.The authors look at past and current research, and comment on the direction of future investigation, relating findings from psychophysical studies of tactile behavior to our growing understanding of the underlying neural mechanisms.
The Neural Basis of Mentalizing
by Michael Gilead Kevin N. OchsnerHumans have a unique ability to understand the beliefs, emotions, and intentions of others—a capacity often referred to as mentalizing. Much research in psychology and neuroscience has focused on delineating the mechanisms of mentalizing, and examining the role of mentalizing processes in other domains of cognitive and affective functioning. The purpose of the book is to provide a comprehensive overview of the current research on the mechanisms of mentalizing at the neural, algorithmic, and computational levels of analysis.The book includes contributions from prominent researchers in the field of social-cognitive and affective neuroscience, as well as from related disciplines (e.g., cognitive, social, developmental and clinical psychology, psychiatry, philosophy, primatology). The contributors review their latest research in order to compile an authoritative source of knowledge on the psychological and brain bases of the unique human capacity to think about the mental states of others. The intended audience is researchers and students in the fields of social-cognitive and affective neuroscience and related disciplines such as neuroeconomics, cognitive neuroscience, developmental neuroscience, social cognition, social psychology, developmental psychology, cognitive psychology, and affective science. Secondary audiences include researchers in decision science (economics, judgment and decision-making), philosophy of mind, and psychiatry.
The Neural Basis of Navigation: Evidence from Single Cell Recording
by Patricia E. SharpSince the appearance of the John O'Keefe and Lynn Nadel book in which they proposed that the hippocampus provides an abstract, internal representation of the animal's environment, considerable conceptual progress in the area of navigational information processing has been achieved. The purpose of the current work is to consolidate recent data and conceptual insights related to navigational insight processing in a format useful to both practitioners and advanced students in neuroscience.
The Neural Basis of Reading
by Piers Cornelissen Peter Hansen Morten Kringelbach Ken PughReading is a unique human ability that has become very pivotal for functioning in our world today. As modern societies rely extensively on literacy skills, and as reading disabilities have profound personal, economic and social consequences, it is surprising that we have a very underdeveloped scientific understanding of the neural basis of reading and visual word recognition in the normal brain. This book fills this gap in the literature by addressing some of the fundamental questions in reading research.
Neural Circuit and Cognitive Development: Comprehensive Developmental Neuroscience
by John Rubenstein Pasko Rakic Bin Chen Kenneth Y. KwanNeural Circuit and Cognitive Development, Second Edition, the latest release in the Comprehensive Developmental Neuroscience series, provides a much-needed update to underscore the latest research in this rapidly evolving field, with new section editors discussing the technological advances that are enabling the pursuit of new research on brain development. This volume is devoted mainly to anatomical and functional development of neural circuits and neural systems and cognitive development. Understanding the critical role these changes play in neurodevelopment provides the ability to explore and elucidate the underlying causes of neurodevelopmental disorders and their effect on cognition. This series is designed to fill the knowledge gap, offering the most thorough coverage of this field on the market today and addressing all aspects of how the nervous system and its components develop. - Features leading experts in various subfields as section editors and article authors - Presents articles that have been peer reviewed to ensure accuracy, thoroughness and scholarship - Includes coverage of mechanisms that control the assembly of neural circuits in specific regions of the nervous system and multiple aspects of cognitive development
Neural Circuits of Innate Behaviors (Advances in Experimental Medicine and Biology #1284)
by Hao WangThis book summarizes the latest research findings in the neurocircuitry of innate behaviors, covering major topics such as innate fear, aggression, feeding, reward, social interaction, parental care, spatial navigation, and sleep-wake regulation. For decades, humans have been fascinated by wild animals’ instincts, like the annual two-thousand-mile migration of the monarch butterfly in North American, and the “imprint” behavior of newborn birds. Since these instincts are always displayed in stereotypical patterns in most individuals of a given species, the neural circuits processing such behaviors must be genetically hard-wired in the brain. Recently, with the development of modern techniques, including optogenetics, retrograde and anterograde virus tracing, and in vivo calcium imaging, researchers have been able to determine and dissect the specific neural circuits for many innate behaviors by selectively manipulating well-defined cell types in the brain. This book discusses recent advances in the investigation of the neural-circuit mechanisms underlying innate behaviors.
The Neural Control of Sleep and Waking
by Jerome SiegelMy first contact with “the other” Jerome Siegel came in 1973, when I moved to Los Angeles to do postdoctoral work at UCLA. My thesis work had been listed in a nationally available posting without any address. The Brain Inf- mation Service, thinking they knew where I was, listed “the other” Jerome Siegel’s Delaware address for reprint requests. I soon received a letter from Jerry along with the requests he had received and we have remained in c- tact ever since. I am occasionally reminded of my namesake when I meet a new colleague who is impressed that someone “so young” published a paper in Science in 1965 (one year out of high school, if it had been me). I entered the field in the early 1970s just as he left. My interests in REM sleep and brainstem mechanisms have been eerily similar to his (and he also did po- doctoral work at UCLA), so our research contributions can be distinguished easily only by my use of my middle initial (which has occasionally been om- ted from my publications). So, my namesake and I both have an interest in seeing to it that no one “brings shame to the name. ” The current work certainly fulfills that dictum. This is a very unusual book, both in its scope and in its approach to the - terial.
Neural Correlates of Quality During Perception of Audiovisual Stimuli (T-Labs Series in Telecommunication Services)
by Sebastian ArndtThis book presents a new approach to examining the perceived quality of audiovisual sequences. It uses electroencephalography (EEG) to explain in detail how user quality judgments are formed within a test participant, and what the physiological implications might be when subjects are exposed to lower quality media. The book redefines the experimental paradigms of using EEG in the area of quality assessment so that they better suit the requirements of standard subjective quality testing, and presents experimental protocols and stimuli that have been adjusted accordingly.
Neural Correlates of Thinking (On Thinking)
by Eduard Kraft Balázs Gulyás Ernst PöppelThe advances in neuroimaging technologies have led to substantial progress in understanding the neural mechanisms of cognitive functions. Thinking and reasoning have only recently been addressed by using neuroimaging techniques. The present book comprehensively explores current approaches and contributions to understanding the neural mechanisms of thinking in a concise and readable manner. It provides an insight into the state of the art and the potentials, but also the limitations of current neuroimaging methods for studying cognitive functions. The book will be a valuable companion for everyone interested in one of the most fascinating topics of cognitive neuroscience.
Neural Dynamics of Adaptive Sensory-Motor Control: Ballistic Eye Movements (Advances in Psychology #Volume 30)
by Stephen Grossberg Michael KupersteinNeural Dynamics of Adaptive Sensory-Motor Control
Neural Fields: Theory and Applications
by Stephen Coombes Peter Beim Graben Roland Potthast James WrightNeural field theory has a long-standing tradition in the mathematical and computational neurosciences. Beginning almost 50 years ago with seminal work by Griffiths and culminating in the 1970ties with the models of Wilson and Cowan, Nunez and Amari, this important research area experienced a renaissance during the 1990ties by the groups of Ermentrout, Robinson, Bressloff, Wright and Haken. Since then, much progress has been made in both, the development of mathematical and numerical techniques and in physiological refinement und understanding. In contrast to large-scale neural network models described by huge connectivity matrices that are computationally expensive in numerical simulations, neural field models described by connectivity kernels allow for analytical treatment by means of methods from functional analysis. Thus, a number of rigorous results on the existence of bump and wave solutions or on inverse kernel construction problems are nowadays available. Moreover, neural fields provide an important interface for the coupling of neural activity to experimentally observable data, such as the electroencephalogram (EEG) or functional magnetic resonance imaging (fMRI). And finally, neural fields over rather abstract feature spaces, also called dynamic fields, found successful applications in the cognitive sciences and in robotics. Up to now, research results in neural field theory have been disseminated across a number of distinct journals from mathematics, computational neuroscience, biophysics, cognitive science and others. There is no comprehensive collection of results or reviews available yet. With our proposed book Neural Field Theory, we aim at filling this gap in the market. We received consent from some of the leading scientists in the field, who are willing to write contributions for the book, among them are two of the founding-fathers of neural field theory: Shun-ichi Amari and Jack Cowan.
Neural Mechanisms: New Challenges in the Philosophy of Neuroscience (Studies in Brain and Mind #17)
by Fabrizio Calzavarini Marco ViolaThis volume brings together new papers advancing contemporary debates in foundational, conceptual, and methodological issues in cognitive neuroscience. The different perspectives presented in each chapter have previously been discussed between the authors, as the volume builds on the experience of Neural Mechanisms (NM) Online – webinar series on the philosophy of neuroscience organized by the editors of this volume. The contributed chapters pertain to five core areas in current philosophy of neuroscience. It surveys the novel forms of explanation (and prediction) developed in cognitive neuroscience, and looks at new concepts, methods and techniques used in the field. The book also highlights the metaphysical challenges raised by recent neuroscience and demonstrates the relation between neuroscience and mechanistic philosophy. Finally, the book dives into the issue of neural computations and representations. Assembling contributions from leading philosophers of neuroscience, this work draws upon the expertise of both established scholars and promising early career researchers.
Neural Mechanisms of Language (Innovations in Cognitive Neuroscience)
by Maria ModyThis important volume brings together significant findings on the neural bases of spoken language –its processing, use, and organization, including its phylogenetic roots. Employing a potent mix of conceptual and neuroimaging-based approaches, contributors delve deeply into specialized structures of the speech system, locating sensory and cognitive mechanisms involved in listening and comprehension, grasping meanings and storing memories. The novel perspectives revise familiar models by tracing linguistic interactions within and between neural systems, homing in on the brain’s semantic network, exploring the neuroscience behind bilingualism and multilingual fluency, and even making a compelling case for a more nuanced participation of the motor system in speech. From these advances, readers have a more three-dimensional picture of the brain—its functional epicenters, its connections, and the whole—as the seat of language in both wellness and disorders.Included in the topics:· The interaction between storage and computation in morphosyntactic processing.· The role of language in structure-dependent cognition.· Multisensory integration in speech processing: neural mechanisms of cross-modal after-effect.· A neurocognitive view of the bilingual brain.· Causal modeling: methods and their application to speech and language.· A word in the hand: the gestural origins of language. Neural Mechanisms of Language presents a sophisticated mix of detail and creative approaches to understanding brain structure and function, giving neuropsychologists, cognitive neuroscientists, developmental psychologists, cognitive psychologists, and speech/language pathologists new windows onto the research shaping their respective fields.
Neural Mechanisms of Startle Behavior
by Robert C. EatonIn the past fifteen years there has been considerable interest in neural circuits that initiate behavior patterns. For many types of behaviors, this involves decision-making circuits whose primary elements are neither purely sensory nor motor, but represent a higher order of neural pro cessing. Of the large number of studies on such systems, analyses of startle circuits compose a major portion, and have been carried out on systems found throughout the animal kingdom. Startle has been an im portant model because of the reliability of the behavioral act for laboratory study and the accessibility of the underlying neural circuitry. However, probably because of the breadth of the subject, this material has never been reviewed in a comprehensive way that presents the elements com mon to startle circuits in the different animal systems in which they occur. This book presents a diversity of approaches based on a broad back ground of animal groups ranging from the earliest nervous systems in cnidarians to the most recently evolved and advanced in mammals. The behaviors themselves are all short latency, fast motor acts, when consid ered on the time scale of the organism, and involve avoidance or evasion, although in some cases we do not yet completely understand their natural role. These behaviors occur in response to stimuli that have sudden or unexpected onset.
Neural Models of Plasticity: Experimental and Theoretical Approaches
by John H. Byrne, William O. BerryNeural Models of Plasticity: Experimental and Theoretical Approaches is an outgrowth of a conference that was held at Woods Hole, Massachusetts, in the spring of 1987. The purpose of that conference was to review recent developments in both areas and to foster communication between those researchers pursuing theoretical approaches and those pursuing more empirical approaches. Contributions have been solicited from individuals who represent both ends of the spectrum of approaches as well as those using a combination of the two. These indicate that our knowledge of the plastic capabilities of the nervous system is accelerating rapidly due to rapid advances in the understanding of basic subcellular and molecular mechanisms of plasticity, and because of the computational capabilities and plastic properties that emerge from neural networks and assemblies. The book contains 19 chapters and opens with a study on the role of the neuromodulator in associative learning of the marine mollusk Hermissend. Subsequent chapters examine topics such as learning and memory in Aplysia; the Hebb rule for synaptic plasticity; olfactory processing and associative memory in the mollusk Limax maximus; simulation of a classically conditioned response; and the neural substrates of memory, focusing on the role of the hippocampus.
Neural Network Computing for the Electric Power Industry: Proceedings of the 1992 Inns Summer Workshop (INNS Series of Texts, Monographs, and Proceedings Series)
by Dejan J. SobajicPower system computing with neural networks is one of the fastest growing fields in the history of power system engineering. Since 1988, a considerable amount of work has been done in investigating computing capabilities of neural networks and understanding their relevance to providing efficient solutions for outstanding complex problems of the electric power industry. A principal objective of a power utility is to provide electric energy to its customers in a secure, reliable and economic manner. Toward this aim, utility personnel are engaged in a variety of activities in areas of supervisory control and monitoring, evaluation of operating conditions, operation planning and scheduling, system development, equipment testing, etc. Over the past decades significant advances have been made in the development of new concepts, design of hardware and software systems, and implementation of solid-state devices which all contributed to the steadily improving power system performance that we are experiencing today. Advanced information processing technologies played an important role in these development efforts. Members of the Special Interest Group for Power Engineering of the INNS recognized the need for bringing together leading researchers in the field of neurocomputing with experts from power utilities and manufacturing companies to assess the current state of affairs and to explore the directions of further research and practice. This book is based on The Summer Workshop on Neural Network Computing for the Electric Power Industry which brought together approximately forty specialists with backgrounds in power engineering, system operation and planning, neural network theory and AI systems design. An informal and highly inspiring atmosphere of the workshop facilitated open discussion and exchange of expertise between the participants.
Neural Network Computing for the Electric Power Industry: Proceedings of the 1992 Inns Summer Workshop (INNS Series of Texts, Monographs, and Proceedings Series)
by Dejan J. SobajicPower system computing with neural networks is one of the fastest growing fields in the history of power system engineering. Since 1988, a considerable amount of work has been done in investigating computing capabilities of neural networks and understanding their relevance to providing efficient solutions for outstanding complex problems of the electric power industry. A principal objective of a power utility is to provide electric energy to its customers in a secure, reliable and economic manner. Toward this aim, utility personnel are engaged in a variety of activities in areas of supervisory control and monitoring, evaluation of operating conditions, operation planning and scheduling, system development, equipment testing, etc. Over the past decades significant advances have been made in the development of new concepts, design of hardware and software systems, and implementation of solid-state devices which all contributed to the steadily improving power system performance that we are experiencing today. Advanced information processing technologies played an important role in these development efforts. Members of the Special Interest Group for Power Engineering of the INNS recognized the need for bringing together leading researchers in the field of neurocomputing with experts from power utilities and manufacturing companies to assess the current state of affairs and to explore the directions of further research and practice. This book is based on The Summer Workshop on Neural Network Computing for the Electric Power Industry which brought together approximately forty specialists with backgrounds in power engineering, system operation and planning, neural network theory and AI systems design. An informal and highly inspiring atmosphere of the workshop facilitated open discussion and exchange of expertise between the participants.
Neural Network Models of Cognition: Biobehavioral Foundations (Advances in Psychology #Volume 121)
by John W. Donahoe Vivian Packard DorselThis internationally authored volume presents major findings, concepts, and methods of behavioral neuroscience coordinated with their simulation via neural networks. A central theme is that biobehaviorally constrained simulations provide a rigorous means to explore the implications of relatively simple processes for the understanding of cognition (complex behavior). Neural networks are held to serve the same function for behavioral neuroscience as population genetics for evolutionary science. The volume is divided into six sections, each of which includes both experimental and simulation research: (1) neurodevelopment and genetic algorithms, (2) synaptic plasticity (LTP), (3) sensory/hippocampal systems, (4) motor systems, (5) plasticity in large neural systems (reinforcement learning), and (6) neural imaging and language. The volume also includes an integrated reference section and a comprehensive index.
Neural Network Models of Conditioning and Action (Psychology Library Editions: Cognitive Science)
by Michael L. Commons Stephen Grossberg John StaddonOriginally published in 1991, this title was the result of a symposium held at Harvard University. It presents some of the exciting interdisciplinary developments of the time that clarify how animals and people learn to behave adaptively in a rapidly changing environment. The contributors focus on aspects of how recognition learning, reinforcement learning, and motor learning interact to generate adaptive goal-oriented behaviours that can satisfy internal needs – an area of inquiry as important for understanding brain function as it is for designing new types of freely moving autonomous robots. Since the authors agree that a dynamic analysis of system interactions is needed to understand these challenging phenomena – and neural network models provide a natural framework for representing and analysing such interactions – all the articles either develop neural network models or provide biological constraints for guiding and testing their design.
Neural Network Models of Conditioning and Action (Psychology Library Editions: Cognitive Science)
by MICHAEL L. COMMONS; STEPHEN GROSSBERG; JOHN E. R. STADDONOriginally published in 1991, this title was the result of a symposium held at Harvard University. It presents some of the exciting interdisciplinary developments of the time that clarify how animals and people learn to behave adaptively in a rapidly changing environment. The contributors focus on aspects of how recognition learning, reinforcement learning, and motor learning interact to generate adaptive goal-oriented behaviours that can satisfy internal needs – an area of inquiry as important for understanding brain function as it is for designing new types of freely moving autonomous robots. Since the authors agree that a dynamic analysis of system interactions is needed to understand these challenging phenomena – and neural network models provide a natural framework for representing and analysing such interactions – all the articles either develop neural network models or provide biological constraints for guiding and testing their design.
Neural Networks for Knowledge Representation and Inference
by Daniel S. LevineThe second published collection based on a conference sponsored by the Metroplex Institute for Neural Dynamics -- the first is Motivation, Emotion, and Goal Direction in Neural Networks (LEA, 1992) -- this book addresses the controversy between symbolicist artificial intelligence and neural network theory. A particular issue is how well neural networks -- well established for statistical pattern matching -- can perform the higher cognitive functions that are more often associated with symbolic approaches. This controversy has a long history, but recently erupted with arguments against the abilities of renewed neural network developments. More broadly than other attempts, the diverse contributions presented here not only address the theory and implementation of artificial neural networks for higher cognitive functions, but also critique the history of assumed epistemologies -- both neural networks and AI -- and include several neurobiological studies of human cognition as a real system to guide the further development of artificial ones. Organized into four major sections, this volume: * outlines the history of the AI/neural network controversy, the strengths and weaknesses of both approaches, and shows the various capabilities such as generalization and discreetness as being along a broad but common continuum; * introduces several explicit, theoretical structures demonstrating the functional equivalences of neurocomputing with the staple objects of computer science and AI, such as sets and graphs; * shows variants on these types of networks that are applied in a variety of spheres, including reasoning from a geographic database, legal decision making, story comprehension, and performing arithmetic operations; * discusses knowledge representation process in living organisms, including evidence from experimental psychology, behavioral neurobiology, and electroencephalographic responses to sensory stimuli.
Neural Networks for Knowledge Representation and Inference
by Daniel S. LevineThe second published collection based on a conference sponsored by the Metroplex Institute for Neural Dynamics -- the first is Motivation, Emotion, and Goal Direction in Neural Networks (LEA, 1992) -- this book addresses the controversy between symbolicist artificial intelligence and neural network theory. A particular issue is how well neural networks -- well established for statistical pattern matching -- can perform the higher cognitive functions that are more often associated with symbolic approaches. This controversy has a long history, but recently erupted with arguments against the abilities of renewed neural network developments. More broadly than other attempts, the diverse contributions presented here not only address the theory and implementation of artificial neural networks for higher cognitive functions, but also critique the history of assumed epistemologies -- both neural networks and AI -- and include several neurobiological studies of human cognition as a real system to guide the further development of artificial ones. Organized into four major sections, this volume: * outlines the history of the AI/neural network controversy, the strengths and weaknesses of both approaches, and shows the various capabilities such as generalization and discreetness as being along a broad but common continuum; * introduces several explicit, theoretical structures demonstrating the functional equivalences of neurocomputing with the staple objects of computer science and AI, such as sets and graphs; * shows variants on these types of networks that are applied in a variety of spheres, including reasoning from a geographic database, legal decision making, story comprehension, and performing arithmetic operations; * discusses knowledge representation process in living organisms, including evidence from experimental psychology, behavioral neurobiology, and electroencephalographic responses to sensory stimuli.
Neural Plasticity Across the Lifespan: How the brain can change
by Gianfranco DenesNeural Plasticity Across the Lifespan reviews the recent scientific developments which are transforming our understanding of the human brain. For many years it was thought that modifications to the structural and functional organization of the brain were limited to a short early period of life, "the critical period", and, in adults, to the memory system. Recent research suggests that on the contrary we should see the human brain as a flexible structure, which adapts and modifies in response to learning, sensory experience, age and disease. The book provides an integrated overview of contemporary research on neural plasticity - the process by which the brain can change in structure and function to cope with new experiences and react to the effects of acquired damage or sensory deprivation. It reviews data on plasticity in the developing brain, looking at both typical and atypical development, alongside clinical and observational research on the adult population. It covers a number of key topics, including: different forms of neural plasticity factors affecting neural plasticity (ageing and gender), neural plasticity in language acquisition, memory and bodily self-consciousness mechanisms of repair – plasticity following sensory deprivation and acquired brain damage. This is an accessible overview of an emerging field of research which has fundamental implications for how we perceive our potential to change throughout our lives. It will be essential reading for all students of cognitive development, cognitive neuroscience and lifespan development.
Neural Plasticity Across the Lifespan: How the brain can change
by Gianfranco DenesNeural Plasticity Across the Lifespan reviews the recent scientific developments which are transforming our understanding of the human brain. For many years it was thought that modifications to the structural and functional organization of the brain were limited to a short early period of life, "the critical period", and, in adults, to the memory system. Recent research suggests that on the contrary we should see the human brain as a flexible structure, which adapts and modifies in response to learning, sensory experience, age and disease. The book provides an integrated overview of contemporary research on neural plasticity - the process by which the brain can change in structure and function to cope with new experiences and react to the effects of acquired damage or sensory deprivation. It reviews data on plasticity in the developing brain, looking at both typical and atypical development, alongside clinical and observational research on the adult population. It covers a number of key topics, including: different forms of neural plasticity factors affecting neural plasticity (ageing and gender), neural plasticity in language acquisition, memory and bodily self-consciousness mechanisms of repair – plasticity following sensory deprivation and acquired brain damage. This is an accessible overview of an emerging field of research which has fundamental implications for how we perceive our potential to change throughout our lives. It will be essential reading for all students of cognitive development, cognitive neuroscience and lifespan development.
Neural Plasticity and Cognitive Development: Insights from Children with Perinatal Brain Injury
by Joan Stiles Judy S. Reilly Susan C. Levine Doris A. Trauner Ruth NassThe advent of modern neurobiological methods over the last three decades has provided overwhelming evidence that it is the interaction of genetic factors and the experience of the individual that guides and supports brain development. Brains do not develop normally in the absence of critical genetic signaling, and they do not develop normally in the absence of essential environmental input. The key to understanding the origins and emergence of both the brain and behavior lies in understanding how inherited and environmental factors are engaged in the dynamic and interactive processes that define and direct development of the neurobehavioral system. Neural Plasticity and Cognitive Development focuses on children who suffered focal brain insult (typically stroke) in the pre- or perinatal period which provides a model for exploring the dynamic nature of early brain and cognitive development. In most, though not all, of the cases considered, the injuries affect substantial portions of one cerebral hemisphere, resulting in patterns of neural damage that would compromise cognitive ability in adults. However, longitudinal behavioral studies of this population of children have revealed only mild cognitive deficits, and preliminary data from functional brain imaging studies suggest that alternative patterns of functional organization emerge in the wake of early injury. Neural Plasticity and Cognitive Development posits that the capacity for adaptation is not the result of early insult. Rather, it reflects normal developmental processes which are both dynamic and adaptive operating against a backdrop of serious perturbation of the neural substrate.