Keno Juechems

Neuroscience · Life Sciences

11h-index1.2kcitations29works0.72yr avg
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Research Topics

Neural and Behavioral Psychology Studies(10), Neural dynamics and brain function(7), Functional Brain Connectivity Studies(4), Decision-Making and Behavioral Economics(4), Digital Mental Health Interventions(4)

Publications29 total

Seven simple steps for log analysis in AI systems
Zenodo (CERN European Organization for Nuclear Research)·2026Open Access
Correction: Using Conversational AI to Facilitate Mental Health Assessments and Improve Clinical Efficiency Within Psychotherapy Services: Real-World Observational Study
JMIR AI·2024· 2 citedOpen Access
Correction: Using Conversational AI to Facilitate Mental Health Assessments and Improve Clinical Efficiency Within Psychotherapy Services: Real-World Observational Study (Preprint)
2024Open Access
Using Conversational AI to Facilitate Mental Health Assessments and Improve Clinical Efficiency Within Psychotherapy Services: Real-World Observational Study
JMIR AI·2023· 43 citedOpen Access
Using Conversational AI to Facilitate Mental Health Assessments and Improve Clinical Efficiency Within Psychotherapy Services: Real-World Observational Study (Preprint)
2023· 1 citedOpen Access
Orthogonal representations for robust context-dependent task performance in brains and neural networks
Neuron·2022· 48 citedOpen Access
Human value learning and representation reflect rational adaptation to task demands
Nature Human Behaviour·2022· 23 cited
Model Sharing in the Human Medial Temporal Lobe
Journal of Neuroscience·2022· 6 citedOpen Access
Orthogonal representations for robust context-dependent task performance in brains and neural networks
Neuron·2022· 249 citedOpen Access
Human value learning and representation reflects rational adaptation to task demands
2021Open Access
Human value learning and representation reflects rational adaptation to task demands
2021Open Access
Model sharing in the human medial temporal lobe
2021Open Access
Inferring Actions, Intentions, and Causal Relations in a Neural Network
2021Open Access
Inferring Actions, Intentions, and Causal Relations in a Neural Network
2021Open Access
Dissociable mechanisms of information sampling in prefrontal cortex and the dopaminergic system
Current Opinion in Behavioral Sciences·2021· 10 citedOpen Access
Rich and lazy learning of task representations in brains and neural networks
2021· 27 citedOpen Access
Optimal utility and probability functions for agents with finite computational precision
Proceedings of the National Academy of Sciences·2020· 33 citedOpen Access
Optimal utility and probability functions for agents with finite computational precision
2020· 8 citedOpen Access
Optimal utility and probability functions for agents with finite computational precision
2020Open Access
Where Does Value Come From?
Trends in Cognitive Sciences·2019· 140 cited
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Frequent Co-authors

Christopher Summerfield(14), Andrew Saxe(6), Jan Balaguer(6), Timo Flesch(4), Max Rollwage(4), Johanna Habicht(4), Ben Carrington(4), Mona Stylianou(4), Tobias U. Hauser(4), Ross Harper(4), Tsvetomira Dumbalska(3), Marı́a Ruz(3), Jill X. O’Reilly(3), Sruthi Viswanathan(3), Bernhard Spitzer(3), Tugba Altun(3), Rita Hira(3), Andreas Jarvstad(3), Sabine Trepte(2), Leonard Reinecke(2)