Informatics

Beyond Diagnostic Classification of Autism: Neuroanatomical, Functional, and Behavioral Phenotypes

Project Summary Autism spectrum disorder (ASD) is a heterogeneous disorder characterized by repetitive and stereotyped be- havior and difficulties in communication and social interaction. It is now one of the most prevalent psychiatric disorders in childhood, but it is also a lifelong condition, adversely affecting an individual's social relationships, independence and employment well into adult.

Bayesian estimation of network connectivity and motifs

Abstract The overarching goal of this proposal is to learn how large groups of neurons interact in a network to perform computations that go beyond the individual ability of each cell. Our working hypothesis is that emergent behavior in neural networks results from their organization into a hierarchy of modular sub-networks or motifs, each performing simpler computations than the network as a whole.

Theories, Models and Methods for Analysis of Complex Data from the Brain

This FOA solicits new theories, computational models, and statistical methods to derive understanding of brain function from complex neuroscience data. Approaches could include the creation of new theories, ideas, and conceptual frameworks to organize/unify data and infer general principles of brain function; new computational models to develop testable hypotheses and design/drive experiments; and new mathematical and statistical methods to support or refute a stated hypothesis about brain function, and/or assist in detecting features in complex brain data.

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