Kongfatt Wong-Lin

Columbia University Health Sciences

$380,130

Attributed

$1,900,649

Total exposure

Grants

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 $424.9K · FY2020–24

$500K$375K$250K$125K$0

'20

'21

'22

'23

'24

Funding mix

By agency

NIH$1,900,649 · 1

By mechanism

R01$1,900,649 · 1

Top collaborators

Most similar at Columbia University Health Sciences

Same institution · by research overlap

Jay A Gingrich$13,464,959
David Sulzer$25,519,828
Jonathan M. Barasch$18,196,986
Martha J Morrell$10,134,136
Attila Losonczy$16,052,128

Others in their field

Other Emerging Leaders on “Electrocorticogram”

Shadi Dayeh · University Of California, San Diego$13,862,272
Christopher John Honey · Johns Hopkins University$2,205,891
Suhasa B Kodandaramaiah · University Of Minnesota$2,114,503
Maysamreza Chamanzar · Carnegie-Mellon University$2,026,655
Kristofer E. Bouchard · University Of Calif-Lawrenc Berkeley Lab$1,934,969
Beth Ann Lopour · University Of California-Irvine$1,915,233

Research focus

ElectrocorticogramAffectAnalogAreaAnimalsBehaviorArchitectureBiophysical ModelBiophysicsBrainBrain DiseasesBrain RegionCharacteristicsClassificationCognitionCognitive CapacityCognitive DeficitsCognitive FunctionComplexCoupledDecision MakingDiagnosisDivorceElectrophysiology (Science)

Grant awards (5)

Uncovering the neural architecture underlying decisions abstracted from movements$243,000

R01 · FY2024 · MH

Uncovering the neural architecture underlying decisions abstracted from movements$410,944

R01 · FY2023 · MH

Uncovering the neural architecture underlying decisions abstracted from movements$410,944

R01 · FY2022 · MH

Uncovering the neural architecture underlying decisions abstracted from movements$410,878

R01 · FY2021 · MH

Uncovering the neural architecture underlying decisions abstracted from movements$424,883

R01 · FY2020 · MH