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Wei Ji Ma
Baylor College Of Medicine
$9,500,328
Attributed
$13,655,415
Total exposure
11
Grants
5
Lead (contact PI)
Attributed= this PI's even-split share of every grant they're on (the fair, additive number). Exposure = full size of all those grants.
Funding over time
peak $2M · FY2010–25$2.5M$1.9M$1.3M$625K$0
'10
'11
'12
'13
'14
'15
'16
'17
'18
'19
'20
'21
'22
'23
'24
'25
Funding mix
By agency
NIH$13,655,415 · 11
By mechanism
R01$9,747,124 · 6
R90$1,886,078 · 2
T90$1,598,299 · 2
R21$423,914 · 1
Top collaborators
- Xiao-Jing Wang10 shared
- Daeyeol Lee8 shared
- Clayton E Curtis5 shared
- Andreas Savas Tolias5 shared
Most similar at Baylor College Of Medicine
Same institution · by research overlap
- Olivier Lichtarge$24,438,347
- Peter J. Koch$8,097,627
- Ali J. Marian$17,600,929
- Timothy C Thompson$13,464,867
- Carolyn L Smith$8,508,837
Others in their field
Top investigators on “Brain”
- Douglas S. Hawkins · Children'S Hosp Of Philadelphia$157,315,120
- Michael W Weiner · Northern California Institute Res &Educ$149,959,854
- David A Bennett · Rush University Medical Center$148,375,056
- David Heimbrook · Leidos Biomedical Research, Inc.$145,442,397
- Walter John Curran · Thomas Jefferson University$114,442,832
- Hongkui Zeng · Allen Institute$113,960,965
Research focus
BrainBehavioralRelating To Nervous SystemNeurosciencesBehaviorTrainingTheoriesMental DisordersBaseProbabilityCognitionNeuromechanismNeuronsLearningComputational NeuroscienceAlgorithmsDesignDecision MakingScienceImpairmentSignal TransductionMachine LearningProgramsArea
Grant awards (45)
Neural basis of planning$782,712
R01 · FY2025 · MH
Identifying the neural correlates of mental simulation in multi-step planning$389,735
R01 · FY2025 · MH · contact PI
Training program in computational approaches to brain and behavior$326,116
R90 · FY2025 · DA · contact PI
Training program in computational approaches to brain and behavior$325,806
T90 · FY2025 · DA · contact PI
Neural basis of planning$825,618
R01 · FY2024 · MH
Training program in computational approaches to brain and behavior$334,152
T90 · FY2024 · DA · contact PI
Training program in computational approaches to brain and behavior$326,116
R90 · FY2024 · DA · contact PI
Training program in computational approaches to brain and behavior$322,857
T90 · FY2023 · DA · contact PI
Training program in computational approaches to brain and behavior$308,048
R90 · FY2023 · DA · contact PI
The cognitive mechanisms of complex planning$272,409
R21 · FY2023 · MH · contact PI
CRCNS: Neural Basis of Planning$368,965
R01 · FY2022 · MH
The cognitive mechanisms of complex planning$151,505
R21 · FY2022 · MH · contact PI
CRCNS: Neural Basis of Planning$378,388
R01 · FY2021 · MH
Probabilistic coding in cortical populations$375,480
R01 · FY2021 · EY
Neural decoding of working memory$388,592
R01 · FY2020 · EY
CRCNS: Neural Basis of Planning$387,421
R01 · FY2020 · MH
Probabilistic coding in cortical populations$387,316
R01 · FY2020 · EY
Training a new generation of computational neuroscientists bridging neurobiology$100,690
R90 · FY2020 · DA
Training a new generation of computational neuroscientists bridging neurobiology and cognition$43,885
T90 · FY2020 · DA
Probabilistic coding in cortical populations$387,535
R01 · FY2019 · EY
CRCNS: Neural Basis of Planning$281,463
R01 · FY2019 · MH
Training a new generation of computational neuroscientists bridging neurobiology$204,981
R90 · FY2019 · DA
Training a new generation of computational neuroscientists bridging neurobiology and cognition$145,252
T90 · FY2019 · DA
CRCNS: Neural Basis of Planning$94,319
R01 · FY2019 · MH
Neural decoding of working memory$1
R01 · FY2019 · EY
Neural decoding of working memory$446,390
R01 · FY2018 · EY
CRCNS: Neural Basis of Planning$429,555
R01 · FY2018 · MH
Probabilistic coding in cortical populations$387,747
R01 · FY2018 · EY
The role of short-term memory uncertainty in visual decision-making$337,795
R01 · FY2018 · EY · contact PI
Training a new generation of computational neuroscientists bridging neurobiology$210,165
R90 · FY2018 · DA
Training a new generation of computational neuroscientists bridging neurobiology and cognition$143,658
T90 · FY2018 · DA
Neural decoding of working memory$70,884
R01 · FY2018 · EY
Probabilistic coding in cortical populations$402,578
R01 · FY2017 · EY
The role of short-term memory uncertainty in visual decision-making$388,000
R01 · FY2017 · EY · contact PI
Neural decoding of working memory$373,929
R01 · FY2017 · EY
Training a new generation of computational neuroscientists bridging neurobiology$204,981
R90 · FY2017 · DA
Training a new generation of computational neuroscientists bridging neurobiology and cognition$142,103
T90 · FY2017 · DA
The role of short-term memory uncertainty in visual decision-making$388,201
R01 · FY2016 · EY · contact PI
Training a new generation of computational neuroscientists bridging neurobiology$204,981
R90 · FY2016 · DA
Training a new generation of computational neuroscientists bridging neurobiology and cognition$140,586
T90 · FY2016 · DA
Behavioral and neural mechanisms of visual short-term memory$298,076
R01 · FY2014 · EY · contact PI
Behavioral and neural mechanisms of visual short-term memory$279,984
R01 · FY2013 · EY · contact PI
Behavioral and neural mechanisms of visual short-term memory$294,720
R01 · FY2012 · EY · contact PI
Behavioral and neural mechanisms of visual short-term memory$294,720
R01 · FY2011 · EY · contact PI
Behavioral and neural mechanisms of visual short-term memory$307,000
R01 · FY2010 · EY · contact PI