Subcategory Detail
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Computational Science$3,439,502.41
Fiscal Year: 2010
  

Download 2010 Computational Science projects (EXCEL)
Computational methods and modeling allow for the synthesis and study of large and complex sets of data. Some projects in this subcategory collect extensive experimental biological and behavioral data and use powerful computing techniques to reveal new insights. Other aspects of computer science are also included, such as developing statistical modeling techniques to better understand the biology of autism.
Graph: Question 2 encompassed a broad range of biological research, resulting in the need to create a larger number of subcategories to adequately describe the breadth of research than was required for other Strategic Plan Questions. The subcategory with the largest portion of funding was Molecular pathways (32%), followed by Neural systems and Subgroups/Biosignatures, which each received less than half the funding of Molecular pathways (15% and 14%, respectively). Projects related to Developmental trajectory were supported by 11% of 2010 ASD research funding, and research on Sensory and motor function received 7%. Studies on Immune/Metabolic pathways (6%), Co-occurring conditions (5%), Cognitive studies (5%), and Computational science (4%) round out the types of research in Question 2.
Note: Initial Sort is by Principal Investigator. Sorting by other columns is available by clicking on the desired column header.
Project Title Principal Investigator Strategic Plan Objective Institution
Statistical analysis of biomedical imaging data in curved space Zhu, Hongtu Q2.Other University of North Carolina at Chapel Hill
Characterizing the genetic systems of autism through multi-disease analysis Wall, Dennis Q2.S.G Harvard Medical School
Novel computational methods for higher order diffusion MRI in autism Verma, Ragini; Westin, Carl-Fredrik Q2.Other University of Pennsylvania
CAREER: Dissecting the neural mechanisms for face detection Tsao, Doris Q2.Other California Institute of Technology
Collaborative research: Detecting false discoveries under dependence using mixtures Roy, Anindya Q2.Other University of Maryland, Baltimore County
CAREER: Model-based fMRI of human object recognition Riesenhuber, Maximilian Q2.Other Georgetown University
HCC:Small:Computational studies of social nonverbal communication Morency, Louis-Philippe Q2.Other University of Southern California
CDI-TYPE II: From language to neural representations of meaning Mitchell, Tom Q2.Other Carnegie Mellon University
II-EN: City University of New York - Computing research infrastructure Kress, Michael Q2.Other College of Staten Island (City University of New York)
Canonical neural computation in autism spectrum disorders Heeger, David Q2.Other New York University
SGER: Learning and representation of cortical similarity of faces in individuals with autistic spectrum disorder Hanson, Stephen Q2.Other Rutgers, The State University of New Jersey - Newark
Collaborative research: Detecting false discoveries under dependence using mixtures Ghoshal, Subhashis Q2.Other North Carolina State University
Analysis of brain microstructure in autism using novel diffusion MRI approaches Conturo, Thomas Q2.Other Washington University School of Medicine
A neural model of fronto-parietal mirror neuron system dynamics Contreras-Vidal, Jose Q2.Other University of Maryland
CAREER: Enabling community-scale modeling of human behavior and its application to healthcare Choudhury, Tanzeem Q2.Other Dartmouth College