← Leaderboards
Paul Miller
Brandeis University
$5,241,484
Attributed
$6,044,746
Total exposure
7
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 $675.7K · FY2005–25$1M$750K$500K$250K$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$6,044,746 · 7
By mechanism
R01$2,941,101 · 2
R90$1,561,111 · 2
T90$1,218,216 · 2
K25$324,318 · 1
Top collaborators
- Donald B Katz5 shared
Most similar at Brandeis University
Same institution · by research overlap
- Arthur Wingfield$10,971,585
- Shantanu P Jadhav$6,653,654
- Michael Jacob Kahana$26,815,124
- Michael Rosbash$13,535,150
- Margie E Lachman$10,801,692
Others in their field
Top investigators on “Neurons”
- Hongkui Zeng · Allen Institute$106,358,289
- Eric Martin McDade · Washington University$94,632,845
- Ed Lein · Allen Institute$90,858,363
- Randall J Bateman · Washington University$65,841,935
- John Morris · Washington University$65,018,684
- Paul S. Aisen · Cognition Therapeutics, Inc.$58,570,460
Research focus
NeuronsLearningTrainingStatisticsComputational NeuroscienceBehaviorBrainSynapsesUndergraduate StudentResearch PersonnelCognitionGraduate StudentProgramsCoupledAttentionInsightAreaComputing MethodologiesData AnalysesInstitutionChildhoodChemotherapyBehavioralAnimals
Grant awards (29)
Undergraduate and Graduate Training in Computational Neuroscience and Data Analysis$247,968
R90 · FY2025 · DA · contact PI
Undergraduate and Graduate Training in Computational Neuroscience and Data Analysis$216,204
T90 · FY2025 · DA · contact PI
Undergraduate and Graduate Training in Computational Neuroscience and Data Analysis$247,968
R90 · FY2024 · DA · contact PI
Undergraduate and Graduate Training in Computational Neuroscience and Data Analysis$222,768
T90 · FY2024 · DA · contact PI
Undergraduate and Graduate Training in Computational Neuroscience and Data Analysis$247,968
R90 · FY2023 · DA · contact PI
Undergraduate and Graduate Training in Computational Neuroscience and Data Analysis$215,238
T90 · FY2023 · DA · contact PI
A hierarchy of timescales for switching between states of neural activity during consumption decisions$321,305
R01 · FY2022 · NS · contact PI
A hierarchy of timescales for switching between states of neural activity during consumption decisions$321,305
R01 · FY2021 · NS · contact PI
A hierarchy of timescales for switching between states of neural activity during consumption decisions$321,305
R01 · FY2020 · NS · contact PI
Undergraduate and Graduate Training in Computational Neuroscience$189,736
R90 · FY2020 · DA · contact PI
Undergraduate and Graduate Training in Computational Neuroscience$132,993
T90 · FY2020 · DA · contact PI
A hierarchy of timescales for switching between states of neural activity during consumption decisions$321,305
R01 · FY2019 · NS · contact PI
Undergraduate and Graduate Training in Computational Neuroscience$209,157
R90 · FY2019 · DA · contact PI
Undergraduate and Graduate Training in Computational Neuroscience$145,252
T90 · FY2019 · DA · contact PI
A hierarchy of timescales for switching between states of neural activity during consumption decisions$321,305
R01 · FY2018 · NS · contact PI
Undergraduate and Graduate Training in Computational Neuroscience$209,157
R90 · FY2018 · DA · contact PI
Undergraduate and Graduate Training in Computational Neuroscience$143,658
T90 · FY2018 · DA · contact PI
Undergraduate and Graduate Training in Computational Neuroscience$209,157
R90 · FY2017 · DA · contact PI
Undergraduate and Graduate Training in Computational Neuroscience$142,103
T90 · FY2017 · DA · contact PI
CRCNS: Cortical network models of taste processing: dynamics and plasticity$258,952
R01 · FY2012 · DC · contact PI
CRCNS: Cortical network models of taste processing: dynamics and plasticity$268,244
R01 · FY2011 · DC · contact PI
CRCNS: Cortical network models of taste processing: dynamics and plasticity$270,953
R01 · FY2010 · DC · contact PI
CRCNS: Cortical network models of taste processing: dynamics and plasticity$268,569
R01 · FY2009 · DC · contact PI
CRCNS: Cortical network models of taste processing: dynamics and plasticity$267,858
R01 · FY2008 · DC · contact PI
Network requirements for parametric working memory$66,066
K25 · FY2006 · MH · contact PI
Network requirements for parametric working memory$64,607
K25 · FY2005 · MH
Network requirements for parametric working memory$66,152
K25 · FY2004 · MH
Network requirements for parametric working memory$61,700
K25 · FY2003 · MH
Network requirements for parametric working memory$65,793
K25 · FY2002 · MH