Neural plasticity, sensitive periods, and psychopathology
نویسندگان
چکیده
منابع مشابه
Learning, neural plasticity and sensitive periods: implications for language acquisition, music training and transfer across the lifespan
Sensitive periods in human development have often been proposed to explain age-related differences in the attainment of a number of skills, such as a second language (L2) and musical expertise. It is difficult to reconcile the negative consequence this traditional view entails for learning after a sensitive period with our current understanding of the brain's ability for experience-dependent pl...
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This chapter reviews sensitive periods in human brain development based on the literature on children raised in institutions. Sensitive experiences occur when experiences are uniquely influential for the development of neural circuitry. Because in humans, we make inferences about sensitive periods from evaluations of complex behaviors, we underestimate the occurrence of sensitive periods at the...
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Early caregiving experiences play a central role in shaping emotional development, stress physiology, and refinement of limbic circuitry. Converging evidence across species delineates a sensitive period of heightened neuroplasticity when frontoamygdala circuitry is especially amenable to caregiver inputs early in life. During this period, parental buffering regulates emotional behaviors and str...
متن کاملThe Developing Brain and Neural Plasticity: Implications for Normality, Psychopathology, and Resilience
GOALS OF THIS CHAPTER 2 PRINCIPLES OF DEVELOPMENTAL NEUROSCIENCE AND DEVELOPMENTAL PSYCHOPATHOLOGY 3 THE BRAIN AS A DYNAMIC, SELF-ORGANIZING DEVELOPMENTAL SYSTEM 3 SELF-ORGANIZATION 4 THE DEVELOPING BRAIN 4 EXPERIENCE AND BRAIN DEVELOPMENT 6 Mechanisms of Neural Plasticity 7 Neural Plasticity: Historical Aspect 9 Neurobiological Pathways to Psychopathology 13 Social Experience and Brain Develop...
متن کاملEvolved Sensitive Periods in Learning
In this paper we study age-varying plasticities across different components in an artificial neural network performing a reinforcement learning task. An evolutionary algorithm is given the task of mapping the age of agents to the plasticity levels of different network components. The results show that patterns of plasticity resembling biological sensitive periods appear, and that these periods ...
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ژورنال
عنوان ژورنال: Development and Psychopathology
سال: 2015
ISSN: 0954-5794,1469-2198
DOI: 10.1017/s0954579415000012