← Leaderboards
Adrienne L Fairhall
University Of Washington
$10,255,125
Attributed
$20,257,511
Total exposure
11
Grants
7
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 $11.4M · FY2010–25$20M$15M$10M$5M$0
'10
'11
'12
'13
'14
'15
'16
'17
'18
'19
'20
'21
'22
'23
'24
'25
Funding mix
By agency
NIH$34,526,425 · 12
By mechanism
U19$15,680,416 · 2
R01$6,515,461 · 2
UF1$6,206,423 · 1
T32$2,173,651 · 3
R90$1,882,309 · 1
T90$1,542,620 · 1
Top collaborators
- Eric Todd Shea-Brown13 shared
- Timothy James Gardner8 shared
- Carlos Lois8 shared
- Thomas L. Daniel5 shared
- Michael H Dickinson5 shared
- Florian Engert5 shared
- Mark C Fishman5 shared
- Jeff W Lichtman5 shared
Most similar at University Of Washington
Same institution · by research overlap
- Anitha Pasupathy$14,364,864
- Zhirong Bao$10,911,973
- Dennis Michael Dacey$21,511,956
- Michele Curatolo$4,052,579
- Jeffrey A Riffell$4,199,052
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
BrainTrainingStructureNeurosciencesBehaviorAreaComputational NeurosciencePhysiologyProgramsCommunitiesCollaborationsLaboratoriesEngineeringRecording Of Previous EventsRelating To Nervous SystemGraduate StudentBehavioralNeuronsSeriesUndergraduate StudentComplexMotorElectrophysiology (Science)Response
Grant awards (55)
The Heart and the Mind: An Integrative Approach to Brain-Body Interactions in the Zebrafish$3,370,159
U19 · FY2025 · NS
Training in theoretical and computational approaches to neural circuits of cognition$313,849
T32 · FY2025 · MH
The Heart and the Mind: An Integrative Approach to Brain-Body Interactions in the Zebrafish$3,299,514
U19 · FY2024 · NS
Training in theoretical and computational approaches to neural circuits of cognition$326,216
T32 · FY2024 · MH
The Heart and the Mind: An Integrative Approach to Brain-Body Interactions in the Zebrafish$3,719,010
U19 · FY2023 · NS
Training in theoretical and computational approaches to neural circuits of cognition$179,481
T32 · FY2023 · MH
The Heart and the Mind: An Integrative Approach to Brain-Body Interactions in the Zebrafish$59,801
U19 · FY2023 · NS
Tracking the emergence of internal models$6,206,423
UF1 · FY2022 · NS · contact PI
The Heart and the Mind: An Integrative Approach to Brain-Body Interactions in the Zebrafish$3,820,430
U19 · FY2022 · NS
the self-tuning brain: cellular and circuit mechanisms of behavioral resilience$1,027,542
R01 · FY2022 · NS
Data Science Resource Core$295,781
U19 · FY2022 · NS · contact PI
the self-tuning brain: cellular and circuit mechanisms of behavioral resilience$60,148
R01 · FY2022 · NS
the self-tuning brain: cellular and circuit mechanisms of behavioral resilience$1,035,907
R01 · FY2021 · NS
Data Science Resource Core$291,433
U19 · FY2021 · NS · contact PI
the self-tuning brain: cellular and circuit mechanisms of behavioral resilience$118,935
R01 · FY2021 · NS
Modeling and Theory$100,445
U01 · FY2021 · NS · contact PI
the self-tuning brain: cellular and circuit mechanisms of behavioral resilience$1,043,445
R01 · FY2020 · NS
Data Science Resource Core$267,828
U19 · FY2020 · NS · contact PI
Undergraduate and graduate training in neural computation and engineering$112,238
T90 · FY2020 · DA · contact PI
Training Program in Neural Computation and Engineering$1
R90 · FY2020 · DA · contact PI
the self-tuning brain: cellular and circuit mechanisms of behavioral resilience$1,047,776
R01 · FY2019 · NS
Data Science Resource Core$267,396
U19 · FY2019 · NS · contact PI
University of Washington PhD Training in Big Data for Genomics and Neuroscience$224,178
T32 · FY2019 · LM
Training Program in Neural Computation and Engineering$188,724
R90 · FY2019 · DA · contact PI
Undergraduate and graduate training in neural computation and engineering$176,873
T90 · FY2019 · DA · contact PI
the self-tuning brain: cellular and circuit mechanisms of behavioral resilience$1,055,777
R01 · FY2018 · NS
Data Science Resource Core$289,064
U19 · FY2018 · NS · contact PI
University of Washington PhD Training in Big Data for Genomics and Neuroscience$239,918
T32 · FY2018 · LM
Training Program in Neural Computation and Engineering$188,724
R90 · FY2018 · DA · contact PI
Undergraduate and graduate training in neural computation and engineering$174,748
T90 · FY2018 · DA · contact PI
University of Washington PhD Training in Big Data for Genomics and Neuroscience$303,645
T32 · FY2017 · LM
Training Program in Neural Computation and Engineering$188,724
R90 · FY2017 · DA · contact PI
Undergraduate and graduate training in neural computation and engineering$172,674
T90 · FY2017 · DA · contact PI
the self-tuning brain: cellular and circuit mechanisms of behavioral resilience$28,930
R01 · FY2017 · NS
University of Washington PhD Training in Big Data for Genomics and Neuroscience$300,394
T32 · FY2016 · LM
CRCNS: Decision-making in flying insects using multisensory cues$241,584
R01 · FY2016 · DC · contact PI
Training Program in Neural Computation and Engineering$188,724
R90 · FY2016 · DA · contact PI
Undergraduate and graduate training in neural computation and engineering$170,652
T90 · FY2016 · DA · contact PI
University of Washington PhD Training in Big Data for Genomics and Neuroscience$285,970
T32 · FY2015 · CA
CRCNS: Decision-making in flying insects using multisensory cues$278,234
R01 · FY2015 · DC · contact PI
Computing and the brain: training the next generation of neuroscientists$167,364
T90 · FY2015 · DA · contact PI
CRCNS: Decision-making in flying insects using multisensory cues$44,094
R01 · FY2015 · DC · contact PI
Computing and the Brain: Training the next generation of neuroscientists$1
R90 · FY2015 · DA · contact PI
Computing and the Brain: Training the next generation of neuroscientists$273,357
R90 · FY2014 · DA · contact PI
CRCNS: Decision-making in flying insects using multisensory cues$254,334
R01 · FY2014 · DC · contact PI
Computing and the brain: training the next generation of neuroscientists$165,446
T90 · FY2014 · DA · contact PI
Computing and the Brain: Training the next generation of neuroscientists$278,840
R90 · FY2013 · DA · contact PI
CRCNS: Decision-making in flying insects using multisensory cues$278,755
R01 · FY2013 · DC · contact PI
Computing and the brain: training the next generation of neuroscientists$163,528
T90 · FY2013 · DA · contact PI
Computing and the Brain: Training the next generation of neuroscientists$284,410
R90 · FY2012 · DA · contact PI
Computing and the brain: training the next generation of neuroscientists$163,528
T90 · FY2012 · DA · contact PI
Computing and the Brain: Training the next generation of neuroscientists$290,804
R90 · FY2011 · DA · contact PI
The computational properties of developing cortical neurons and how they determin$191,100
R21 · FY2011 · NS · contact PI
Computing and the brain: training the next generation of neuroscientists$75,569
T90 · FY2011 · DA · contact PI
The computational properties of developing cortical neurons and how they determin$234,000
R21 · FY2010 · NS · contact PI