← Leaderboards
Dean V Buonomano
University Of California Los Angeles
$9,507,024
Attributed
$13,022,220
Total exposure
9
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 $2.1M · FY2005–25$2.5M$1.9M$1.3M$625K$0
'05
'06
'07
'08
'09
'10
'11
'12
'13
'14
'15
'16
'17
'18
'19
'20
'21
'22
'23
'24
'25
Funding mix
By agency
NIH$13,022,220 · 9
By mechanism
R01$10,470,177 · 5
RF1$1,841,418 · 1
R21$414,260 · 1
R03$296,365 · 2
Top collaborators
- Sotiris Masmanidis11 shared
- Peyman Golshani5 shared
Most similar at University Of California Los Angeles
Same institution · by research overlap
- Peter E Latham$728,831
- Amynah Amir Ali Pradhan$7,730,866
- Susan J Harkema$10,143,099
- Alan J Garfinkel$4,265,373
- David Goodman$2,192,834
Others in their field
Top investigators on “Learning”
- Praduman Jain · Vignet, Inc.$145,457,385
- Robert B Gagosian · Consortium For Ocean Leadership, Inc$140,113,248
- Greg Ulses · Consortium For Ocean Leadership, Inc$140,113,248
- Mary L. Disis · University Of Washington$129,059,152
- Lee Marshall Nadler · Dana-Farber Cancer Inst$124,071,843
- Charles Mattias Mountain · Association Of Universities For Research In Astronomy, Inc.$115,886,990
Research focus
LearningResponsePatternBrainNeuronsStimulusTrainingRelating To Nervous SystemEventPropertyRecurrenceMotorBehaviorStructureNervous System DisorderComplexOptogeneticsSynapsesAnimalsBehavioralSynaptic PlasticityCodeNeural Network SimulationArea
Grant awards (40)
Linking the dopaminergic mechanisms of reinforcement learning and timing$613,017
R01 · FY2025 · DA
CRCNS: Multiple Clocks for the Encoding of Time in Corticostriatal Circuits$378,979
R01 · FY2025 · NS
Multiplexing working memory and timing: Encoding retrospective and prospective information in transient neural trajectories.$558,369
R01 · FY2024 · NS · contact PI
CRCNS: Multiple clocks for the encoding of time in corticostriatal circuits$341,370
R01 · FY2024 · NS
Multiplexing working memory and timing: Encoding retrospective and prospective information in transient neural trajectories.$32,615
R01 · FY2024 · NS · contact PI
Multiplexing working memory and timing: Encoding retrospective and prospective information in transient neural trajectories.$620,410
R01 · FY2023 · NS · contact PI
CRCNS: Multiple clocks for the encoding of time in corticostriatal circuits$379,611
R01 · FY2023 · NS
Multiplexing working memory and timing: Encoding retrospective and prospective information in transient neural trajectories.$24,812
R01 · FY2023 · NS · contact PI
CRCNS: Multiple clocks for the encoding of time in corticostriatal circuits$379,914
R01 · FY2022 · NS
CRCNS: Multiple clocks for the encoding of time in corticostriatal circuits$376,848
R01 · FY2021 · NS
Multiplexing working memory and timing: Encoding retrospective and prospective information in transient neural trajectories.$1,841,418
RF1 · FY2020 · NS · contact PI
CRCNS: Network mechanisms of the learning and encoding of timed motor responses$296,942
R01 · FY2020 · NS · contact PI
TIMING AND LEARNING IN IN VITRO CORTICAL NETWORKS$390,484
R01 · FY2019 · MH · contact PI
CRCNS: Network mechanisms of the learning and encoding of timed motor responses$297,057
R01 · FY2019 · NS · contact PI
TIMING AND LEARNING IN IN VITRO CORTICAL NETWORKS$434,551
R01 · FY2018 · MH · contact PI
CRCNS: Network mechanisms of the learning and encoding of timed motor responses$297,172
R01 · FY2018 · NS · contact PI
TIMING AND LEARNING IN IN VITRO CORTICAL NETWORKS$376,668
R01 · FY2017 · MH · contact PI
CRCNS: Network mechanisms of the learning and encoding of timed motor responses$297,289
R01 · FY2017 · NS · contact PI
TIMING AND LEARNING IN IN VITRO CORTICAL NETWORKS$42,188
R01 · FY2017 · MH · contact PI
TIMING AND LEARNING IN IN VITRO CORTICAL NETWORKS$376,832
R01 · FY2016 · MH · contact PI
CRCNS: Network mechanisms of the learning and encoding of timed motor responses$294,569
R01 · FY2016 · NS · contact PI
TIMING AND LEARNING IN IN VITRO CORTICAL NETWORKS$363,492
R01 · FY2015 · MH · contact PI
Timing and Learning in In Vitro Cortical Networks$365,465
R01 · FY2013 · MH · contact PI
Abnormal network dynamics and "learning" in neural circuits from Fmr1-/- mice$221,760
R21 · FY2013 · MH · contact PI
Learning temporal patterns: computational and experimental studies of timing$74,305
R03 · FY2013 · NS · contact PI
Timing and Learning in In Vitro Cortical Networks$364,492
R01 · FY2012 · MH · contact PI
Abnormal network dynamics and "learning" in neural circuits from Fmr1-/- mice$192,500
R21 · FY2012 · MH · contact PI
Learning temporal patterns: computational and experimental studies of timing$77,000
R03 · FY2012 · NS · contact PI
Experience-dependent plasticity and dynamics in vitro$305,860
R01 · FY2011 · MH · contact PI
Experience-dependent plasticity and dynamics in vitro$308,950
R01 · FY2010 · MH · contact PI
Experience-dependent plasticity and dynamics in vitro$308,950
R01 · FY2009 · MH · contact PI
Experience-dependent plasticity and dynamics in vitro$308,950
R01 · FY2008 · MH · contact PI
Computations and Unsupervised Learning in Recurrent Neural Networks$72,530
R03 · FY2008 · MH · contact PI
Experience-dependent plasticity and dynamics in vitro$335,864
R01 · FY2007 · MH · contact PI
Computations and Unsupervised Learning in Recurrent Neural Networks$72,530
R03 · FY2007 · MH · contact PI
Plasticity and the Decoding of Temporal Information$187,664
R01 · FY2005 · MH
Plasticity and the Decoding of Temporal Information$184,497
R01 · FY2004 · MH
Plasticity and the Decoding of Temporal Information$181,754
R01 · FY2003 · MH
Plasticity and the Decoding of Temporal Information$217,571
R01 · FY2002 · MH
Plasticity and the Decoding of Temporal Information$226,971
R01 · FY2001 · MH