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Eric Todd Shea-Brown
University Of Washington
$1,611,865
Attributed
$3,496,911
Total exposure
4
Grants
0
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 $1.1M · FY2016–25$2M$1.5M$1M$500K$0
'16
'17
'18
'19
'20
'21
'22
'23
'24
'25
Funding mix
By agency
NIH$3,496,911 · 4
By mechanism
RF1$1,115,283 · 1
T32$819,546 · 1
T90$807,185 · 1
R90$754,897 · 1
Top collaborators
- Adrienne L Fairhall13 shared
- Elizabeth A Buffalo3 shared
- Stefan Mihalas1 shared
Most similar at University Of Washington
Same institution · by research overlap
- Timothy A Derouen$29,069,189
- Alan Chait$20,398,633
- Adrienne L Fairhall$10,255,125
- Sheila A. Lukehart$22,581,544
- David J Perkel$12,579,046
Others in their field
Top investigators on “Training”
- Jeffrey P Krischer · University Of South Florida$314,856,919
- Christopher McKay · Battelle Memorial Institute$290,340,771
- Judith S. Currier · University Of California Los Angeles$276,624,848
- Daniel R Kuritzkes · Brigham And Women'S Hospital$258,658,543
- Michael David Hughes · Harvard University D/B/A Harvard School Of Public Health$239,830,683
- Steven E Reis · University Of Pittsburgh At Pittsburgh$232,330,444
Research focus
TrainingAreaRelating To Nervous SystemBrainCommunitiesGrantNeurosciencesProgramsBiologicalGraduate EducationEducation ResearchBiologyBiomedical EngineeringFaculty MentorEngineeringGraduate StudentEducational CurriculumComputational NeuroscienceBig DataEducational Process Of InstructingCareer DevelopmentCurriculum DevelopmentComputer ScienceConsultations
Grant awards (14)
Training in theoretical and computational approaches to neural circuits of cognition$313,849
T32 · FY2025 · MH
Training in theoretical and computational approaches to neural circuits of cognition$326,216
T32 · FY2024 · MH
Training in theoretical and computational approaches to neural circuits of cognition$179,481
T32 · FY2023 · MH
From diverse dynamics to diverse computation via neural cell types$1,115,283
RF1 · FY2021 · DA
Undergraduate and graduate training in neural computation and engineering$112,238
T90 · FY2020 · DA
Training Program in Neural Computation and Engineering$1
R90 · FY2020 · DA
Training Program in Neural Computation and Engineering$188,724
R90 · FY2019 · DA
Undergraduate and graduate training in neural computation and engineering$176,873
T90 · FY2019 · DA
Training Program in Neural Computation and Engineering$188,724
R90 · FY2018 · DA
Undergraduate and graduate training in neural computation and engineering$174,748
T90 · FY2018 · DA
Training Program in Neural Computation and Engineering$188,724
R90 · FY2017 · DA
Undergraduate and graduate training in neural computation and engineering$172,674
T90 · FY2017 · DA
Training Program in Neural Computation and Engineering$188,724
R90 · FY2016 · DA
Undergraduate and graduate training in neural computation and engineering$170,652
T90 · FY2016 · DA