← Leaderboards
Emre R Aksay
Weill Medical Coll Of Cornell Univ
$6,947,078
Attributed
$12,490,466
Total exposure
3
Grants
3
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 $1.6M · FY2012–25$2M$1.5M$1M$500K$0
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Funding mix
By agency
NIH$12,490,466 · 3
By mechanism
R01$12,490,466 · 3
Top collaborators
- Mark S Goldman12 shared
- H. Sebastian Seung5 shared
- Sebastian Seung3 shared
Most similar at Weill Medical Coll Of Cornell Univ
Same institution · by research overlap
- Alexandro D Ramirez$919,320
- Gregory Patrick Davis$236,404
- Sebastian Seung$776,629
- Daniel James Thengone$167,299
- Armin Alaedini$2,088,564
Others in their field
Top investigators on “Behavior”
- Sonia M Thomas · Research Triangle Institute$700,865,642
- Tracy L Nolen · Research Triangle Institute$474,487,152
- Lawrence Corey · Fred Hutchinson Cancer Center$316,652,479
- Chanza Baytop · Westat, Inc.$271,217,917
- Everette D Joseph · Howard University$243,972,016
- Eric J Barron · Pennsylvania State Univ University Park$243,972,016
Research focus
BehaviorMeasurementZebrafishCellsResponsePositioning AttributeTwo-PhotonSignal TransductionNeuronsOculomotorImageVisionGazeInsightReconstructionResolutionEye VelocityPredictive ModelingShort-Term MemoryPatternBrainMemoryNetwork ModelsPhysiological
Grant awards (18)
Circuit Mechanisms Underlying Persistent Activity in a Neural Integrator$594,149
R01 · FY2025 · EY · contact PI
Circuit Mechanisms Underlying Persistent Activity in a Neural Integrator$574,019
R01 · FY2024 · EY · contact PI
Circuit Mechanisms Underlying Persistent Activity in a Neural Integrator$699,000
R01 · FY2023 · EY · contact PI
Circuit Mechanisms Underlying Learned Changes in Persistent Neural Activity$798,082
R01 · FY2022 · NS · contact PI
Circuit Mechanisms Underlying Persistent Activity in a Neural Integrator$699,000
R01 · FY2022 · EY · contact PI
Circuit mechanisms underlying learned changes in persistent neural activity$797,236
R01 · FY2021 · NS · contact PI
Circuit mechanisms underlying learned changes in persistent neural activity$804,160
R01 · FY2020 · NS · contact PI
Circuit mechanisms underlying learned changes in persistent neural activity$809,245
R01 · FY2019 · NS · contact PI
Circuit mechanisms underlying persistent activity in a neural integrator$754,096
R01 · FY2019 · EY · contact PI
Circuit mechanisms underlying learned changes in persistent neural activity$851,845
R01 · FY2018 · NS · contact PI
Circuit mechanisms underlying persistent activity in a neural integrator$753,066
R01 · FY2018 · EY · contact PI
Circuit mechanisms underlying persistent activity in a neural integrator$822,726
R01 · FY2017 · EY · contact PI
Circuit mechanisms underlying persistent activity in a neural integrator$771,044
R01 · FY2016 · EY · contact PI
The computational importance of cerebellar processing$552,486
R01 · FY2016 · EY · contact PI
The computational importance of cerebellar processing$541,435
R01 · FY2015 · EY · contact PI
The computational importance of cerebellar processing$541,436
R01 · FY2014 · EY · contact PI
The computational importance of cerebellar processing$540,917
R01 · FY2013 · EY · contact PI
The computational importance of cerebellar processing$586,524
R01 · FY2012 · EY · contact PI