← Leaderboards
Nicolas Brunel
University Of Texas Hlth Sci Ctr Houston
$4,446,614
Attributed
$14,027,176
Total exposure
5
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 $3.2M · FY2016–22$5M$3.8M$2.5M$1.3M$0
'16
'17
'18
'19
'20
'21
'22
Funding mix
By agency
NIH$14,027,176 · 5
By mechanism
R01$11,234,564 · 4
U01$2,792,612 · 1
Top collaborators
- Yali Amit5 shared
- David Jordan Freedman5 shared
- Nicholas G Hatsopoulos5 shared
- Jason Neil Maclean5 shared
- Court A Hull4 shared
- Stephen G Lisberger4 shared
- Javier F Medina4 shared
- Kenneth D Miller3 shared
Most similar at University Of Texas Hlth Sci Ctr Houston
Same institution · by research overlap
- Valentin Dragoi$16,972,121
- Daniel Jay Felleman$3,419,017
- Matthew W Murphy$26,544
Others in their field
Top investigators on “Synapses”
- Michael W Weiner · Northern California Institute Res &Educ$95,051,223
- Jeff W Lichtman · Washington University$52,276,380
- Anthony O Caggiano · Cognition Therapeutics, Inc.$49,563,751
- Susan Abushakra · Alzheon, Inc.$47,690,244
- Richard L Huganir · Johns Hopkins University$42,264,873
- Christopher H Van Dyck · Cognition Therapeutics, Inc.$39,259,807
Research focus
SynapsesNeuronsResponseMonkeysPatternLearningStatisticsBaseSynaptic PlasticityTheoriesLeadStructureImageExperimental StudyNetwork ModelsNeural CircuitBehaviorAffectPropertyRelating To Nervous SystemTrainingTheoretical ModelCellsStimulus
Grant awards (20)
Canonical computations for motor learning by the cerebellar cortex micro-circuit$1,275,271
R01 · FY2022 · NS
Large-scale, neuronal ensemble recordings in motor cortex of the behaving marmoset$580,301
R01 · FY2022 · NS
Canonical computations for motor learning by the cerebellar cortex micro-circuit$1,275,271
R01 · FY2021 · NS
Large-scale, neuronal ensemble recordings in motor cortex of the behaving marmoset$579,693
R01 · FY2021 · NS
CRCNS: Multiscale dynamics of cortical circuits for visual recognition & memory$381,972
R01 · FY2021 · MH
Canonical computations for motor learning by the cerebellar cortex micro-circuit$1,275,271
R01 · FY2020 · NS
Circuitry underlying response summation in mouse and primate: Theory and experiment$908,396
U01 · FY2020 · NS
Large-scale, neuronal ensemble recordings in motor cortex of the behaving marmoset$579,086
R01 · FY2020 · NS
CRCNS: Multiscale dynamics of cortical circuits for visual recognition & memory$387,619
R01 · FY2020 · MH
Canonical computations for motor learning by the cerebellar cortex micro-circuit$1,290,521
R01 · FY2019 · NS
Circuitry underlying response summation in mouse and primate: Theory and experiment$908,396
U01 · FY2019 · NS
Large-scale, neuronal ensemble recordings in motor cortex of the behaving marmoset$623,696
R01 · FY2019 · NS
CRCNS: Multiscale dynamics of cortical circuits for visual recognition & memory$393,096
R01 · FY2019 · MH
Circuitry underlying response summation in mouse and primate: Theory and experiment$975,820
U01 · FY2018 · NS
Large-scale, neuronal ensemble recordings in motor cortex of the behaving marmoset$605,864
R01 · FY2018 · NS
CRCNS: Multiscale dynamics of cortical circuits for visual recognition & memory$398,403
R01 · FY2018 · MH
Learning spatio-temporal statistics from the environment in recurrent networks$390,000
R01 · FY2018 · EB
CRCNS: Multiscale dynamics of cortical circuits for visual recognition & memory$405,000
R01 · FY2017 · MH
Learning spatio-temporal statistics from the environment in recurrent networks$390,000
R01 · FY2017 · EB
Learning spatio-temporal statistics from the environment in recurrent networks$403,500
R01 · FY2016 · EB