New brain imaging methods are helping us better understand how children learn, writes neuroscientist John Gabrieli. But "education neuroscience" has become the source of both promise and debate.

School neuropsychology focuses on brain--behavior relationships and how these connections influence the learning process. This specialized field considers the individual and sociocultural factors that influence cognitive development, using targeted neuropsychological assessments to guide effective intervention. While grounded in pediatric clinical…

The Neurosequential Model in Education (NME) is described as a developmentally sensitive and biologically respectful approach to development and learning. This paper postulates that the NME shares many commonalities with the Montessori Method in that it, too, is developmentally sensitive and adheres to biologically respectful concepts. This paper…

New advances in neurobiology are revealing that brain development and the learning it enables are directly dependent on social-emotional experience. Growing bodies of research reveal the importance of socially-triggered epigenetic contributions to brain development and brain network configuration, with implications for social-emotional…

The first 1,000 days of life are a critical window of vulnerability to exposure to socioeconomic and health challenges (i.e. poverty/undernutrition). The Brain Imaging for Global Health (BRIGHT) project has been established to deliver longitudinal measures of brain development from 0 to 24 months in UK and Gambian infants and to assess the impact…

Neuroscience offers insight into how we learn. Understanding how to leverage neural development pathways is of interest in teaching because the circuits in the brain respond to effective pedagogical practice; therefore, the role of the teacher is critical. Neuroscientific studies (Damasio in The feeling of what happens: body, emotion and the…

New advances in neurobiology are revealing that brain development and the learning it enables are directly dependent on social-emotional experience. Growing bodies of research reveal the importance of socially triggered epigenetic contributions to brain development and brain network configuration, with implications for social-emotional…

In this article, we attempt to provide an overview of the features of the abilities, aptitudes, and frames of minds that are attributed to critical thinking and provide the broad outlines of the development of critical-analytic thinking (CAT) abilities. In addition, we evaluate the potential viability of three main hypotheses regarding the reasons…

This research brief explores how emotions and relationships drive learning and are a fundamental part of how our brains develop. The authors explain how emotionally safe and cognitively stimulating environments contribute to brain development; how brain development that supports learning depends on social experiences; and how sensitive periods in…

This brief summarizes the working paper, "The Science of Neglect: The Persistent Absence of Responsive Care Disrupts the Developing Brain," and explains why neglect, or the absence of responsive, supportive care, can affect the formation of the developing brain, impairing later learning, behavior, and health. The brief also includes…

This volume brings together leading authorities from multiple disciplines to examine the relationship between brain development and behavior in typically developing children. Presented are innovative cross-sectional and longitudinal studies that shed light on brain-behavior connections in infancy and toddlerhood through adolescence. Chapters…

Noting that understanding a child's brain and the way it develops is the key to understanding learning, this book explores the relationship between brain physiology and children's learning processes. The book first translates the most current scientific theories on nervous-system development into practical information for parents. It then details…

Neural networks are applied to a theoretical subject in developmental psychology: modeling developmental transitions. Two issues that are involved will be discussed: discontinuities and acquiring qualitatively new knowledge. We will argue that by the appearance of a bifurcation, a neural network can show discontinuities and may acquire…

This paper presents autoassociator neural networks. A first section reviews the architecture of these models, common learning rules, and presents sample simulations to illustrate their abilities. In a second section, the ability of these models to account for learning phenomena such as habituation is reviewed. The contribution of these networks to…

The differing functions of the left and right hemispheres of the brain are discussed and means of developing interaction between the two are described. (JD)