Partially Adaptive STAP Algorithm Approaches to Functional MRI

In this work, the architectures of three partially adaptive STAP algorithms are introduced, one of which is explored in detail, that reduce dimensionality and improve tractability over fully adaptive STAP when used in construction of brain activation maps in fMRI. Computer simulations incorporating actual MRI noise and human data analysis indicate that element space partially adaptive STAP can attain close to the performance of fully adaptive STAP while significantly decreasing processing time and maximum memory requirements, and thus demonstrates potential in fMRI analysis

Acceptance, rejection, and the social brain in adolescence : toward a neuroscience of peer relations

Children and adolescents who are chronically rejected by their peers suffer from widespread impairments in daily life, ranging from poor academic achievement and dropping out of school, to delinquency and the development of mental health problems. To gain a better understanding of the developmental processes that give rise to such impairments, the research described in this dissertation examined the neurocognitive underpinnings of processes that play a role in the emergence and maintenance of peer group rejection and acceptance. The first part of this dissertation focuses on neurocognitive processes underlying reactions to social exclusion. The second part concentrates on the neurocognitive processes involved in sharing valuable resources, based on the widely established finding that frequent displays of prosocial behaviors, such as cooperating, helping, and sharing, are associated with both gaining and maintaining acceptance among peers. The empirical work in this dissertation demonstrates that a developmental cognitive neuroscience approach provides unique insights into the emotional, regulatory, and socio-cognitive processes thought to play a role in the emergence and maintenance of peer group acceptance and rejection.Pathways through Adolescenc

Word Knowledge and Word Usage

Word storage and processing define a multi-factorial domain of scientific inquiry whose thorough investigation goes well beyond the boundaries of traditional disciplinary taxonomies, to require synergic integration of a wide range of methods, techniques and empirical and experimental findings. The present book intends to approach a few central issues concerning the organization, structure and functioning of the Mental Lexicon, by asking domain experts to look at common, central topics from complementary standpoints, and discuss the advantages of developing converging perspectives. The book will explore the connections between computational and algorithmic models of the mental lexicon, word frequency distributions and information theoretical measures of word families, statistical correlations across psycho-linguistic and cognitive evidence, principles of machine learning and integrative brain models of word storage and processing. Main goal of the book will be to map out the landscape of future research in this area, to foster the development of interdisciplinary curricula and help single-domain specialists understand and address issues and questions as they are raised in other disciplines