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Matthias Heinkenschloss
Baylor College Of Medicine
$650,053
Attributed
$1,300,105
Total exposure
1
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 $342.7K · FY2022–25$500K$375K$250K$125K$0
'22
'23
'24
'25
Funding mix
By agency
NIH$1,300,105 · 1
By mechanism
R01$1,300,105 · 1
Top collaborators
- Fabrizio Gabbiani4 shared
Most similar at Baylor College Of Medicine
Same institution · by research overlap
- Dirar Shafiq Khoury$2,416,764
- Daoyun Ji$12,923,028
- Xander H.t. Wehrens$19,095,667
- J. David Dickman$16,320,895
- Elizabeth Chiao$12,842,422
Others in their field
Other Rising Stars on “Biological Models”
- Mari Ostendorf · University Of Washington$51,931,230
- Sabrina Paganoni · Massachusetts General Hospital$25,017,559
- Suma Babu · Massachusetts General Hospital$25,017,559
- Dorota A. Grejner-Brzezinska · University Of Wisconsin-Madison$19,883,568
- Kevin V Grimes · Stanford University$14,783,804
- Xuping Xie · University Of Texas Med Br Galveston$13,737,799
Research focus
Biological ModelsElectrophysiology (Science)Non-Linear ModelsSynapsesGenerationsPlace FieldsIon ChannelNeuronsPlayPyramidal CellsPotassium ChannelBiophysical AnalysisBiophysical ProcessDendritesAnatomyInformation ProcessingBehaviorBiophysical PropertiesAlgorithmsAreaInternetIn VivoFormulationBiological
Grant awards (4)
CRCNS: Understanding Single-Neuron Computation Using Nonlinear Model Optimization$293,719
R01 · FY2025 · NS
CRCNS: Understanding Single-Neuron Computation Using Nonlinear Model Optimization$342,653
R01 · FY2024 · NS
CRCNS: Understanding Single-Neuron Computation Using Nonlinear Model Optimization$328,019
R01 · FY2023 · NS
CRCNS: Understanding Single-Neuron Computation Using Nonlinear Model Optimization$335,714
R01 · FY2022 · NS