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Yael Niv
Princeton University
$9,653,531
Attributed
$9,653,531
Total exposure
10
Grants
10
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. They are the sole PI on all grants (the two match).
Funding over time
peak $4.3M · FY2011–25$5M$3.8M$2.5M$1.3M$0
'11
'12
'13
'14
'15
'16
'17
'18
'19
'20
'21
'22
'23
'24
'25
Funding mix
By agency
NIH$16,089,631 · 11
By mechanism
P50$8,058,743 · 3
R01$7,062,388 · 5
R21$443,500 · 1
U01$283,500 · 1
R03$241,500 · 1
Top collaborators
No co-investigators on record.
Most similar at Princeton University
Same institution · by research overlap
- Michael James Siniscalchi$226,480
- Gabriel A Vecchi$365,596
- Mengdi Wang$2,113,000
- Wenchang Yang$63,218
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
BrainBehavioralLearningDimensionsCognitiveFunctional Magnetic Resonance ImagingBaseRewardsComputer ModelsSamplingRelating To Nervous SystemBehaviorAffectNeural CircuitMapsPatternDecision MakingStructureCognitive ProcessPatient Self-ReportIndividual DifferencesLinkAreaPrefrontal Cortex
Grant awards (30)
Conte Center: Understanding Latent Cause Inference in Health and Illness$3,210,120
P50 · FY2025 · MH · contact PI
Project 1: Latent-cause inference as a fundamental cognitive process$506,704
P50 · FY2025 · MH · contact PI
Administrative Core (A)$309,442
P50 · FY2025 · MH · contact PI
Conte Center: Understanding Latent Cause Inference in Health and Illness$3,225,980
P50 · FY2024 · MH · contact PI
Administrative Core (A)$403,249
P50 · FY2024 · MH · contact PI
Project 1: Latent-cause inference as a fundamental cognitive process$403,248
P50 · FY2024 · MH · contact PI
CRCNS US-Israel Research Proposal: Computational Phenotyping of Decision Making in Adolescent Psychopathology$227,211
R01 · FY2024 · MH · contact PI
A Computational Psychiatry Investigation of the effects of Mood on Reward Learning and Attention$437,998
R01 · FY2023 · MH · contact PI
CRCNS US-Israel Research Proposal: Computational Phenotyping of Decision Making in Adolescent Psychopathology$227,172
R01 · FY2023 · MH · contact PI
A Computational Psychiatry Investigation of the effects of Mood on Reward Learning and Attention$448,182
R01 · FY2022 · MH · contact PI
Decoding the dynamic representation of reward predictions across mesocorticostriatal circuits during learning$283,500
U01 · FY2022 · DA · contact PI
CRCNS US-Israel Research Proposal: Computational Phenotyping of Decision Making in Adolescent Psychopathology$227,211
R01 · FY2022 · MH · contact PI
A Computational Psychiatry Investigation of the effects of Mood on Reward Learning and Attention$474,291
R01 · FY2021 · MH · contact PI
Decoding the dynamic representation of reward predictions across mesocorticostriatal circuits during learning$283,500
R01 · FY2021 · DA · contact PI
CRCNS US-Israel Research Proposal: Computational Phenotyping of Decision Making in Adolescent Psychopathology$277,048
R01 · FY2021 · MH · contact PI
A Computational Psychiatry Investigation of the effects of Mood on Reward Learning and Attention$490,357
R01 · FY2020 · MH · contact PI
Orbitofrontal cortex as a cognitive map of task states$364,500
R01 · FY2020 · DA · contact PI
CRCNS US-Israel Research Proposal: Computational Phenotyping of Decision Making in Adolescent Psychopathology$305,207
R01 · FY2020 · MH · contact PI
Decoding the dynamic representation of reward predictions across mesocorticostriatal circuits during learning$283,500
R01 · FY2020 · DA · contact PI
Quantifying the latent-cause inference process in humans$155,355
R21 · FY2020 · MH · contact PI
A Computational Psychiatry Investigation of the effects of Mood on Reward Learning and Attention$491,357
R01 · FY2019 · MH · contact PI
Orbitofrontal cortex as a cognitive map of task states$364,500
R01 · FY2019 · DA · contact PI
Quantifying the latent-cause inference process in humans$288,145
R21 · FY2019 · MH · contact PI
Orbitofrontal cortex as a cognitive map of task states$364,500
R01 · FY2018 · DA · contact PI
Orbitofrontal cortex as a cognitive map of task states$364,500
R01 · FY2017 · DA · contact PI
Orbitofrontal cortex as a cognitive map of task states$364,500
R01 · FY2016 · DA · contact PI
Neural and computational mechanisms of selective attention in decision making$364,434
R01 · FY2014 · MH · contact PI
Neural and computational mechanisms of selective attention in decision making$349,847
R01 · FY2013 · MH · contact PI
Neural and computational mechanisms of selective attention in experience-based de$352,573
R01 · FY2012 · MH · contact PI
fMRI investigations of how we learn what is relevant for a decision$241,500
R03 · FY2011 · DA · contact PI