Faculty

Institution

Unit

Venue

Chris Sims

Associate Professor

Rensselaer Polytechnic Institute

Affiliations

School of Humanities, Arts and Social Sciences

Cognitive Science Department

Chris Sims is currently serving as a Cognitive Science Associate Professor at Rensselaer Polytechnic Institute.

Honors

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Experiences

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Education

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Chris Sims

Rensselaer Polytechnic Institute

Associate Professor

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cognitive science cognition applied cognitive psychology visual perception visual science behavioural process visual system experimental psychology memory memory studies decision science behavioral sciences human decision process psychology cognitive neuroscience computational intelligence working memory computer science behavioral decision making psychological science decision theory sequential decision making visual processing machine learning research visual function deep reinforcement learning robot learning information theory perception-action loop task performance human performance modeling visual reasoning human memory predictive coding behavioral experiments perception system experimental decision making experimental analysis of behavior visual working memory behavioral research control optimization task analysis explicit memory multi-agent learning psychophysics image representation memory systems interactive decision making exploration v exploitation vision research choice behavior adaptive allocation complex visual information rate-distortion theory loss function affective neuroscience neurolinguistics resource allocation similarity measure object categorization rational choice ecological rationality individual decision making emotion recognition emotional responses behavior analysis rational analysis approach interactive behavior ideal observer analysis universal law empirical mapping generalization gradient discrete categorization absolute identification visual environment adaptive nature learning theory cognitive modeling cognitive computing motor control visual memory intelligent decision making reinforcement learning

Notable Scholarly Works

Notable Federal Grants

Collaborators

Humans Learn Generalizable Representations Through Efficient Coding. Nature Communications (2025)

Zeming FangChris R Sims

cognitiondeep reinforcement learningcomputational intelligenceapplied cognitive psychologymachine learning researchsimplest necessary representationsreinforcement learningmachine learningbehavioral sciencesartificial intelligenceclassical rl objectivecognitive scienceneural computationrobot learninghuman generalizationpredictive coding

Learning Generalizable Representations Through Efficient Coding. (2025)

Zeming FangChris R. Sims

deep reinforcement learninghuman-level generalization performancecomputational intelligencemachine learning researchpredictive learningreinforcement learningmachine learningbehavioral sciencesaction model learningartificial intelligencecompact representationscognitive scienceneural computationrobot learningpredictive coding

Efficient Visual Representations for Learning and Decision Making.. Psychological Review (2024)

Tyler MalloyChris R Sims

cognitionvisual processingdecision makingcomputational intelligencevisual scienceapplied cognitive psychologyefficient visual representationsvisual perceptionneurosciencedecision sciencevisual reasoningvisual informationcognitive sciencehuman decision processcognitive neuroscience

Learning in Factored Domains With Information-Constrained Visual Representations. arXiv (Cornell University) (2023)

Malloy, TylerLiu, MiaoRiemer, Matthew D.Klinger, TimTesauro, GeraldSims, Chris R.

deep reinforcement learningautoencoderscomputational intelligencemachine learning researchreinforcement learningcomputer sciencevisual perceptionmachine learningcomplex visual informationvisual reasoningvisual informationcognitive sciencedeep learningneural network (machine learning)

Multiple Timescales of Learning Indicated by Changes in Evidence-Accumulation Processes During Perceptual Decision-Making. npj Science of Learning (2023)

Aaron CochraneChris R. SimsVikranth R. BejjankiC. Shawn GreenDaphne Bavelier

cognitionresponse boundaryperception-action loopapplied cognitive psychologypredictive learningbehavioural processevidence accumulation modelsmultiple timescalespsychologyexperimental psychologydecision sciencebehavioral decision makingcognitive sciencehuman decision process

A Beta-Variational Auto-Encoder Model of Human Visual Representation Formation in Utility-Based Learning. Journal of Vision (2022)

Tyler MalloyChris R. Sims

visual systemvisual processingcomputational intelligencevisual sciencemachine learning researchvisual perceptionneuroscienceutility-based learningvisual reasoningvisual informationcognitive sciencebeta-variational auto-encoder model

Conceptual Knowledge Shapes Visual Working Memory for Complex Visual Information. Scientific Reports (2022)

Chris R. SimsRachel A. LerchJohn A. TardunoRobert A. Jacobs

cognitionvisual systemvisual processingvisual sciencememorypsychological scienceapplied cognitive psychologymemory store peoplememory studiesvisual perceptioncomplex visual informationmirror imagespsychologyvisual reasoningcognitive science

Drift Diffusion Models of Perceptual Learning Indicate Long-Term Improvements in Sensitivity and Short-Term Fluctuations in Caution.. Journal of Vision (2022)

Aaron CochraneChris SimsVikranth BejjankiC. Shawn GreenDaphne Bavelier

cognitionperceptual learningperception-action loopapplied cognitive psychologybehavioural processdrift diffusion modelsresponse cautionexperimental psychologycognitive scienceaction monitoringstatistics

Multiple Timescales of Learning Within a Single Task: Continuous-Time Changes in Evidence-Accumulation Processes During Perceptual Decision-Making. Research Square (2022)

Aaron CochraneChris SimsVikranth BejjankiShawn GreenDaphne Bavelier

cognitionresponse boundaryperception-action loopapplied cognitive psychologypredictive learningconcept driftbehavioural processneurosciencemultiple timescalesdecision scienceexperimental psychologybehavioral decision makingdrift ratecognitive sciencehuman decision processcognitive neuroscience

A Computationally Rational Model of Human Reinforcment Learning. Proceedings of the Annual Meeting of the Cognitive Science Society (2021)

Zeming FangChris R Sims

neurosciencelearning theorysequential decision makingbehavioral decision makinghuman decision processcognitive neurosciencecomputational complexityapplied cognitive psychologyreinforcement learningbehavioural processbehavioral sciencescognitive modelingcognitive sciencemutual informationdecision theoryinformation theoryoptimal policy complexitycognitioncomputational intelligencedecision scienceexperimental psychology

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Chris Sims

Associate Professor

Rensselaer Polytechnic Institute

Affiliations

School of Humanities, Arts and Social Sciences

Cognitive Science Department

Chris Sims is currently serving as a Cognitive Science Associate Professor at Rensselaer Polytechnic Institute.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Chris Sims

Rensselaer Polytechnic Institute

Associate Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Humans Learn Generalizable Representations Through Efficient Coding. Nature Communications (2025)

Zeming FangChris R Sims

Learning Generalizable Representations Through Efficient Coding. (2025)

Zeming FangChris R. Sims

Efficient Visual Representations for Learning and Decision Making.. Psychological Review (2024)

Tyler MalloyChris R Sims

Learning in Factored Domains With Information-Constrained Visual Representations. arXiv (Cornell University) (2023)

Malloy, TylerLiu, MiaoRiemer, Matthew D.Klinger, TimTesauro, GeraldSims, Chris R.

Multiple Timescales of Learning Indicated by Changes in Evidence-Accumulation Processes During Perceptual Decision-Making. npj Science of Learning (2023)

Aaron CochraneChris R. SimsVikranth R. BejjankiC. Shawn GreenDaphne Bavelier

A Beta-Variational Auto-Encoder Model of Human Visual Representation Formation in Utility-Based Learning. Journal of Vision (2022)

Tyler MalloyChris R. Sims

Conceptual Knowledge Shapes Visual Working Memory for Complex Visual Information. Scientific Reports (2022)

Chris R. SimsRachel A. LerchJohn A. TardunoRobert A. Jacobs

Drift Diffusion Models of Perceptual Learning Indicate Long-Term Improvements in Sensitivity and Short-Term Fluctuations in Caution.. Journal of Vision (2022)

Aaron CochraneChris SimsVikranth BejjankiC. Shawn GreenDaphne Bavelier

Multiple Timescales of Learning Within a Single Task: Continuous-Time Changes in Evidence-Accumulation Processes During Perceptual Decision-Making. Research Square (2022)

Aaron CochraneChris SimsVikranth BejjankiShawn GreenDaphne Bavelier

A Computationally Rational Model of Human Reinforcment Learning. Proceedings of the Annual Meeting of the Cognitive Science Society (2021)

Zeming FangChris R Sims

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