Faculty

Institution

Unit

Venue

Richard Shiffrin

Distinguished and Luther Dana Waterman Professor

Indiana University Bloomington

Affiliations

College of Arts & Sciences

Cognitive Science Program

Psychological and Brain Sciences, Department of

Richard Shiffrin is currently serving as a Cognitive Science Program Distinguished and Luther Dana Waterman Professor at Indiana University Bloomington.

Honors

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Experiences

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Education

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Richard Shiffrin

Indiana University Bloomington

Distinguished and Luther Dana Waterman Professor

You can click a keyword to filter the displayed items

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Against NaïVe Induction From Experimental Data. Behavioral and Brain Sciences (2024)

David KellenGregory E. CoxChris DonkinJohn C. DunnRichard M. Shiffrin

behavioral sciencesexperimental dataexperimental psychologyneurosciencecognitive science

Computational Models of Event Memory. Oxford University Press eBooks (2024)

Gregory E. CoxRichard M. Shiffrin

computer scienceevent memoryneurosciencecognitive sciencemachine learning

Function Estimation: Quantifying Individual Differences of Hand-Drawn Functions. Memory & Cognition (2024)

Daniel R. LittleRichard M. ShiffrinSimon M. Laham

memorypsychologyfunction estimationindividual differencesneurosciencehand-drawn functionscognitive sciencemachine learning

Modeling Collaborative Memory With Sam. Memory & Cognition (2024)

Willa M ManneringSuparna RajaramRichard M ShiffrinMichael N Jones

collaborative memorymemorymodeling and simulationcognitive modelingcognitive sciencecognition

Recognition Memory Decisions Made With Short- and Long-Term Retrieval. Memory & Cognition (2024)

Shuchun Lea LaiRui CaoRichard M. Shiffrin

memorylong-term retrievalcognitive science

Reprint of: Human Memory: A Proposed System and Its Control Processes. Journal of Memory and Language (2024)

R.C. AtkinsonR.M. Shiffrin

human memorymemoryproposed systemcognitive science

Validation of a Rodent Model of Episodic Memory Replay. Learning & Behavior (2024)

Cassandra L SheridanDanielle Panoz-BrownRichard M ShiffrinJonathon D Crystal

neuroscienceepisodic memory replayrodent modelmemory

Bayes Factors for Mixed Models: A Discussion. Computational Brain & Behavior (2023)

Johnny van DoornJulia M. HaafAngelika M. StefanEric-Jan WagenmakersGregory Edward CoxClintin P. Davis-StoberAndrew HeathcoteDaniel W. HeckMichael KalishDavid KellenDora MatzkeRichard D. MoreyBruno NicenboimDon van RavenzwaaijJeffrey N. RouderDaniel J. SchadRichard M. ShiffrinHenrik SingmannShravan VasishthJoão VeríssimoFlorence BocktingSuyog ChandramouliJohn C. DunnQuentin F. GronauMaximilian LindeSara D. McMullinDanielle NavarroMartin SchnuerchHimanshu YadavFrederik Aust

bayes factorsneurosciencemixed modelscomputational neurosciencecognitive science

Dynamic Modeling of Visual Search. Computational Brain & Behavior (2023)

Zainab Rajab MohamedDenis CousineauSamuel M. HardingRichard M. Shiffrin

computer sciencecomputer visioncognitive neurosciencedynamic modelingbehavioral neuroscienceneurosciencevisual searchcomputational neurosciencecognitive sciencemachine learningcomputational intelligencebrain science

Probing the Psychology of AI Models. Proceedings of the National Academy of Sciences (2023)

Richard ShiffrinMelanie Mitchell

behavioral sciencespsychologyai modelscognitive sciencemachine learningartificial intelligence

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Richard Shiffrin

Distinguished and Luther Dana Waterman Professor

Indiana University Bloomington

Affiliations

College of Arts & Sciences

Cognitive Science Program

Psychological and Brain Sciences, Department of

Richard Shiffrin is currently serving as a Cognitive Science Program Distinguished and Luther Dana Waterman Professor at Indiana University Bloomington.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Richard Shiffrin

Indiana University Bloomington

Distinguished and Luther Dana Waterman Professor

You can click a keyword to filter the displayed items

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Against NaïVe Induction From Experimental Data. Behavioral and Brain Sciences (2024)

David KellenGregory E. CoxChris DonkinJohn C. DunnRichard M. Shiffrin

behavioral sciencesexperimental dataexperimental psychologyneurosciencecognitive science

Computational Models of Event Memory. Oxford University Press eBooks (2024)

Gregory E. CoxRichard M. Shiffrin

computer scienceevent memoryneurosciencecognitive sciencemachine learning

Function Estimation: Quantifying Individual Differences of Hand-Drawn Functions. Memory & Cognition (2024)

Daniel R. LittleRichard M. ShiffrinSimon M. Laham

memorypsychologyfunction estimationindividual differencesneurosciencehand-drawn functionscognitive sciencemachine learning

Modeling Collaborative Memory With Sam. Memory & Cognition (2024)

Willa M ManneringSuparna RajaramRichard M ShiffrinMichael N Jones

collaborative memorymemorymodeling and simulationcognitive modelingcognitive sciencecognition

Recognition Memory Decisions Made With Short- and Long-Term Retrieval. Memory & Cognition (2024)

Shuchun Lea LaiRui CaoRichard M. Shiffrin

memorylong-term retrievalcognitive science

Reprint of: Human Memory: A Proposed System and Its Control Processes. Journal of Memory and Language (2024)

R.C. AtkinsonR.M. Shiffrin

human memorymemoryproposed systemcognitive science

Validation of a Rodent Model of Episodic Memory Replay. Learning & Behavior (2024)

Cassandra L SheridanDanielle Panoz-BrownRichard M ShiffrinJonathon D Crystal

neuroscienceepisodic memory replayrodent modelmemory

Bayes Factors for Mixed Models: A Discussion. Computational Brain & Behavior (2023)

bayes factorsneurosciencemixed modelscomputational neurosciencecognitive science

Dynamic Modeling of Visual Search. Computational Brain & Behavior (2023)

Zainab Rajab MohamedDenis CousineauSamuel M. HardingRichard M. Shiffrin

Probing the Psychology of AI Models. Proceedings of the National Academy of Sciences (2023)

Richard ShiffrinMelanie Mitchell

behavioral sciencespsychologyai modelscognitive sciencemachine learningartificial intelligence

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