← Leaderboards
Brian J Fischer
Albert Einstein College Of Medicine
$2,690,040
Attributed
$9,048,630
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 $3.4M · FY2012–25$5M$3.8M$2.5M$1.3M$0
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Funding mix
By agency
NIH$9,048,630 · 4
By mechanism
R01$6,125,609 · 3
RF1$2,923,021 · 1
Top collaborators
- Jose L Pena16 shared
- William M Debello7 shared
- Mark H Ellisman7 shared
- Terry T Takahashi5 shared
Most similar at Albert Einstein College Of Medicine
Same institution · by research overlap
- Andrea J Bae$212,242
- Yunyan Wang$147,371
- Keanu Shadron$88,116
Others in their field
Top investigators on “Auditory”
- Daniel C. Javitt · New York University School Of Medicine$30,055,789
- Xiaoqin Wang · Johns Hopkins University$23,030,735
- Ebenezer N. Yamoah · University Of Nevada Reno$22,916,082
- Ulrich Mueller · Johns Hopkins University$21,603,938
- Karen J Cruickshanks · University Of Wisconsin Madison$21,351,137
- Edward Chang · University Of California, San Francisco$20,845,633
Research focus
AuditoryNeuronsBehaviorPropertyBehavioralSound LocalizationResponseStrigiformesMidbrain StructurePathway InteractionsCodeBarn OwlsBaseGazeBrainStructureLocationReceptive FieldSoundStimulusMapsResolutionCuesAdaptive Behaviors
Grant awards (16)
CRCNS:US-lsrael Research Proposal: To Elucidate Fundamental Mechanisms of Transformed Saliency Map to$320,679
R01 · FY2025 · NS
CRCNS:US-lsrael Research Proposal: To Elucidate Fundamental Mechanisms of Transformed Saliency Map to$236,618
R01 · FY2024 · NS
Integrative Analysis of Adaptive Information Processing and Learning-Dependent Circuit Reorganization in the Auditory System$2,923,021
RF1 · FY2023 · NS
CRCNS:US-lsrael Research Proposal: To Elucidate Fundamental Mechanisms of Transformed Saliency Map to$471,458
R01 · FY2023 · NS
From microscale structure to population coding of normal and learned behavior$517,623
R01 · FY2021 · NS
From microscale structure to population coding of normal and learned behavior$601,146
R01 · FY2020 · NS
From microscale structure to population coding of normal and learned behavior$663,070
R01 · FY2019 · NS
From microscale structure to population coding of normal and learned behavior$357,305
R01 · FY2018 · NS
From microscale structure to population coding of normal and learned behavior$315,388
R01 · FY2018 · NS
From microscale structure to population coding of normal and learned behavior$82,749
R01 · FY2018 · NS
From microscale structure to population coding of normal and learned behavior$759,492
R01 · FY2017 · NS
CRCNS: Coding for optimal performances in natural environments$355,007
R01 · FY2016 · DC
CRCNS: Coding for optimal performances in natural environments$354,178
R01 · FY2015 · DC
CRCNS: Coding for optimal performances in natural environments$360,451
R01 · FY2014 · DC
CRCNS: Coding for optimal performances in natural environments$344,938
R01 · FY2013 · DC
CRCNS: Coding for optimal performances in natural environments$385,507
R01 · FY2012 · DC