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Nikolaus Kriegeskorte
Columbia Univ New York Morningside
$1,857,126
Attributed
$3,714,252
Total exposure
3
Grants
2
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 $2.6M · FY2022–25$5M$3.8M$2.5M$1.3M$0
'22
'23
'24
'25
Funding mix
By agency
NIH$3,714,252 · 3
By mechanism
RF1$2,568,097 · 1
R01$1,146,155 · 2
Top collaborators
- Winrich Freiwald2 shared
- Xuexin Wei1 shared
Most similar at Columbia Univ New York Morningside
Same institution · by research overlap
- David Michael Schneider$2,154,394
- Jacob Aaron Edwards$143,420
- Nima Mesgarani$6,924,426
- Johnmark Edward Taylor$210,154
Others in their field
Other Rising Stars on “Predictive Modeling”
- Heinz Ernst Moser · University Of Texas Med Br Galveston$12,973,432
- Benjamin M Greenberg · Ut Southwestern Medical Center$11,474,975
- Eric Anderson · Columbia University Health Sciences$11,474,975
- Jinsy Andrews · Columbia University Health Sciences$11,474,975
- Colin Osborne · University Of Texas Med Br Galveston$10,407,745
- Sabrina Paganoni · Massachusetts General Hospital$9,673,541
Research focus
Predictive ModelingCollaborationsMacacaNovel StrategiesResponseTheoriesCommunitiesLinkMethodologyNeurosciencesData SetPropertyArchitectureSamplingBrainAreaExperimental StudyCellsComputer ModelsMeasurementNeural Network SimulationNeurophysiologyBiologyBiological
Grant awards (3)
Revealing the mechanisms of primate face recognition with synthetic stimulus sets optimized to compare computational models$738,773
R01 · FY2025 · NS · contact PI
Representational geometry: evaluating brain-computational models with neural activity data$407,382
R01 · FY2025 · DA
Revealing the mechanisms of primate face recognition with synthetic stimulus sets optimized to compare computational models$2,568,097
RF1 · FY2022 · NS · contact PI