Jason F Smith

Summary

Affiliation: National Institutes of Health
Country: USA

Publications

  1. pmc Imaging systems level consolidation of novel associate memories: a longitudinal neuroimaging study
    Jason F Smith
    Brain Imaging and Modeling Section, National Institute on Deafness and Other Communication Disorders, National Institutes of Health, Bethesda, MD 20892 1407, USA
    Neuroimage 50:826-36. 2010
  2. pmc Temporal microstructure of cortical networks (TMCN) underlying task-related differences
    Arpan Banerjee
    Brain Imaging and Modeling Section, National Institute on Deafness and Other Communication Disorders, National Institutes of Health, Bethesda, MD 20892, USA
    Neuroimage 62:1643-57. 2012
  3. pmc A link between neuroscience and informatics: large-scale modeling of memory processes
    Barry Horwitz
    Brain Imaging and Modeling Section, National Institute on Deafness and Other Communications Disorders, National Institutes of Health, Bethesda, MD 20892, USA
    Methods 44:338-47. 2008
  4. pmc Identifying effective connectivity parameters in simulated fMRI: a direct comparison of switching linear dynamic system, stochastic dynamic causal, and multivariate autoregressive models
    Jason F Smith
    Brain Imaging and Modeling Section, National Institute on Deafness and Other Communication Disorders, National Institutes of Health Bethesda, MD, USA
    Front Neurosci 7:70. 2013
  5. pmc Effective Connectivity Modeling for fMRI: Six Issues and Possible Solutions Using Linear Dynamic Systems
    Jason F Smith
    Brain Imaging and Modeling Section, National Institute on Deafness and Other Communication Disorders, National Institutes of Health Bethesda, MD, USA
    Front Syst Neurosci 5:104. 2011
  6. pmc Identification and validation of effective connectivity networks in functional magnetic resonance imaging using switching linear dynamic systems
    Jason F Smith
    Brain Imaging and Modeling Section, National Institute on Deafness and Other Communication Disorders, National Institutes of Health, Bethesda, MD 20892 1407, USA
    Neuroimage 52:1027-40. 2010
  7. pmc Symbolic gestures and spoken language are processed by a common neural system
    Jiang Xu
    Language Section, National Institute on Deafness and Other Communication Disorders, National Institutes of Health, Building 10, Room 8S235A, Bethesda, MD 20892, USA
    Proc Natl Acad Sci U S A 106:20664-9. 2009

Detail Information

Publications7

  1. pmc Imaging systems level consolidation of novel associate memories: a longitudinal neuroimaging study
    Jason F Smith
    Brain Imaging and Modeling Section, National Institute on Deafness and Other Communication Disorders, National Institutes of Health, Bethesda, MD 20892 1407, USA
    Neuroimage 50:826-36. 2010
    ..Neuroimaging analysis at a sub-trial temporal resolution, as used here, may further clarify the role of the hippocampal complex in memory consolidation...
  2. pmc Temporal microstructure of cortical networks (TMCN) underlying task-related differences
    Arpan Banerjee
    Brain Imaging and Modeling Section, National Institute on Deafness and Other Communication Disorders, National Institutes of Health, Bethesda, MD 20892, USA
    Neuroimage 62:1643-57. 2012
    ..Therefore, we propose TMCN as a viable computational tool for extracting network timing in various cognitive tasks...
  3. pmc A link between neuroscience and informatics: large-scale modeling of memory processes
    Barry Horwitz
    Brain Imaging and Modeling Section, National Institute on Deafness and Other Communications Disorders, National Institutes of Health, Bethesda, MD 20892, USA
    Methods 44:338-47. 2008
    ....
  4. pmc Identifying effective connectivity parameters in simulated fMRI: a direct comparison of switching linear dynamic system, stochastic dynamic causal, and multivariate autoregressive models
    Jason F Smith
    Brain Imaging and Modeling Section, National Institute on Deafness and Other Communication Disorders, National Institutes of Health Bethesda, MD, USA
    Front Neurosci 7:70. 2013
    ..All methods perform above chance levels at identifying correct connectivity parameters. The sLDSf method was superior in parameter estimation accuracy to both DCM and MAR for all types of comparisons...
  5. pmc Effective Connectivity Modeling for fMRI: Six Issues and Possible Solutions Using Linear Dynamic Systems
    Jason F Smith
    Brain Imaging and Modeling Section, National Institute on Deafness and Other Communication Disorders, National Institutes of Health Bethesda, MD, USA
    Front Syst Neurosci 5:104. 2011
    ..The LDS framework can also be extended to statistically combine fMRI and EEG data. The LDSf framework is a promising foundation for effective connectivity analysis...
  6. pmc Identification and validation of effective connectivity networks in functional magnetic resonance imaging using switching linear dynamic systems
    Jason F Smith
    Brain Imaging and Modeling Section, National Institute on Deafness and Other Communication Disorders, National Institutes of Health, Bethesda, MD 20892 1407, USA
    Neuroimage 52:1027-40. 2010
    ..Our results suggest that the SLDS model framework is an effective means to address several problems with modeling connectivity including measuring overall model adequacy and identifying important regions missing from models...
  7. pmc Symbolic gestures and spoken language are processed by a common neural system
    Jiang Xu
    Language Section, National Institute on Deafness and Other Communication Disorders, National Institutes of Health, Building 10, Room 8S235A, Bethesda, MD 20892, USA
    Proc Natl Acad Sci U S A 106:20664-9. 2009
    ....