MS-HBM specifications

Information


Unique identifier OMICS_23432
Name MS-HBM
Alternative name Multi-Session Hierarchical Bayesian Mode
Software type Application/Script
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux
Computer skills Advanced
Stability Stable
Maintained Yes

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Maintainer


  • person_outline Thomas Yeo <>

Publication for Multi-Session Hierarchical Bayesian Mode

MS-HBM institution(s)
ASTAR-NUS Clinical Imaging Research Centre, Department of Electrical and Computer Engineering, Singapore Institute for Neurotechnology and Memory Networks Program, National University of Singapore Singapore; School of Electrical and Computer Engineering, Cornell University, Ithaca, NY, USA; CAS Key Laboratory of Behavioral Sciences and Center for Lifespan Innovation of Brain and Mind, Institute of Psychology, Beijing, China; University of Chinese Academy of Sciences, Beijing, China; Yale University, New Haven, CT, USA; Institute for Systems Neuroscience, Medical Faculty, Heinrich-Heine University Düsseldorf, Düsseldorf, Germany; Institute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Research Center Jülich, Jülich, Germany; Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA; Centre for Cognitive Neuroscience, Duke-NUS Medical School, Singapore
MS-HBM funding source(s)
Supported by Singapore MOE Tier 2 (MOE2014-T2-2-016), NUS Strategic Research (DPRT/944/09/14), NUS SOM Aspiration Fund (R185000271720), Singapore NMRC (CBRG/0088/2015), NUS YIA, the Singapore National Research Foundation (NRF) Fellowship (Class of 2017); by the National Institute of Mental Health (573 K01MH099232); by the National Basic Research (973) Program (2015CB351702), the Natural Science Foundation of China (81471740, 81220108014), and the Beijing Municipal Science and Tech Commission (Z161100002616023, Z171100000117012).

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