Publications
2024
Abrupt and spontaneous strategy switches emerge in simple regularised neural networks
Löwe, A.T., Touzo, L., Muhle-Karbe, P.S., Saxe, A.M., Summerfield, C. & Schuck, N.W.
2024, PLoS Computational Biology
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Integrative Psychological, Computational, and Mechanistic Approaches to Frontal Lobe Function
Shenhav, A., Banich, M.T., Beste, C., Buschmann, T.J., Friedmann, N.P., Gratton, C., Koechlin, E., Schuck, N.W., Wang, X.J. & O'Doherty, J.
2024, The MIT Press
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Influence of surprise on reinforcement learning in younger and older adults
Koch, C., Zika, O., Bruckner, R. & Schuck, N.W.
2024, PLoS Computational Biology
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[Preprint] Replay in Human Visual Cortex is Linked to the Formation of Successor Representations and Independent of Consciousness
Wittkuhn, L., Krippner, L.M., Koch, C. & Schuck, N.W.
2024, bioRxiv
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[Preprint] N2 Sleep Inspires Insight
Löwe, A.T., Petzka, M., Tzegka, M. & Schuck, N.W.
2024, bioRxiv
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[Preprint] Neural Priorisation of Past Solutions Supports Generalisation
Hall-McMaster, S., Tomov, M., Gershman, S.J. & Schuck, N.W.
2024, bioRxiv
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Grid-like entorhinal representation of an abstract value space during prospective decision making
Nitsch, A., Garvert, M.M., Bellmund, J.S., Schuck, N.W. & Doeller, C.F.
2024, Nature Communications
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Reduction of aversive learning rates in Pavlovian conditioning by angiotensin II antagonist losartan: a randomised controlled trial
Zika O., Appel J., Klinge C., Shkreli L., Browning M., Wiech K. & Reinecke A.
2024, Biological Psychiatry
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[Preprint]An inductive bias for slowly changing features in human reinforcement learning
Hedrich, N.L., Schulz, E., Hall-McMaster, S., Schuck, N.W.
2024, bioRxiv
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2023
Respiration modulates sleep oscillations and memory reactivation in humans
Schreiner, T., Petzka, M., Staudigl, T. & Staresina, B.
2023, Nature Communications
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Better late than never: sleep still supports memory consolidation after prolonged periods of wakefulness
Petzka, M., Zika, O., Staresina, B.P., Cairney, S.A.
2023, Learning Memory
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Goal-seeking compresses neural codes for space in the human hippocampus and orbitofrontal cortex
Muhle-Karbe, P.S., Sheahan, H., Pezzulo, G., Spiers, H.J., Chien, S., Schuck, N.W., Summerfield, C.
2023, Neuron
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The dorsomedial prefrontal cortex represents subjective value across effort-based and risky decision-making
Yao, Y., Song, K., Schuck, N.W., Li, X., Fang, X., Zhang, J., Heekeren, H., Bruckner, R.
2023, NeuroImage
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Trait anxiety is associated with hidden state inference during aversive reversal learning
Zika, O., Wiechert, K., Reinecke, A., Browning, M., Schuck, N.W.
2023, Nature Communications
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Task state representations in vmPFC mediate relevant and irrelevant value signals and their behavioral influencey
Moneta, N., Garvert, M.M., Heekeren, H.R., Schuck, N.W.
2023, Nature Communications
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Hippocampal spatio-predictive cognitive maps adaptively guide reward generalization
Garvert, M.M. Saanum, T., Schulz, E., Schuck, N.W., Doeller, C.F.
2023, Nature Neuroscience
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[Preprint] Reduction of aversive learning rates in Pavlovian conditioning by angiotensin II antagonist losartan
Zika, O., Appel, J., Klinge, C., Shkreli, L., Browning, M., Wiech, K. & Reinecke, A.
2023, PsyArxiv
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[Preprint] The relationship between latent state inference and (intolerance of) uncertainty
Zika, O.
2023, PsyArxiv
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Neural and psychophysiological markers of intolerance of uncertainty
Morriss, J., Abend, R., Zika, O., Bradford, D.E., Mertens, G.
2023, International Journal of Psychophysiology
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[Preprint] Reguarised Neural Networks Mimic Human Insight
Löwe, A.T., Touzo, L., Muhle-Karbe, P.S., Saxe, A.M., Summerfield, C. and Schuck, N.W.
2023, arXiv
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2022
L-DOPA enhances hippocampal direction signals in younger and older adults
Koch, C., Bäuchl, C., Glöckner, F., Riedel, P., Petzold, J., Smolka, M., Li, S.-C. and Schuck, N.W.
2022, NeuroImage
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Spontaneous discovery of novel task solutions in children.
Schuck, N.W., Li, A.X., Wenke, D., Ay-Bryson, D.S., Löwe, A.T., Gaschler, R. and Shing, Y.L.
2022, PLoS ONE
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code + data
Sleep spindles track cortical learning patterns for memory consolidation.
Petzka, M., Chatburn, A., Charest, I., Balanos, G.M. and Staresina, B.P.
2022, Current Biology
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code + data
Decoding cognition from spontaneous neural activity.
Liu, Y., Nour, M.M., Schuck, N.W., Behrens, T.E.J. & Dolan, R.J.
2022, Nature Reviews Neuroscience
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[Preprint] Trait anxiety is associated with hidden state inference during aversive reversal learning
Zika, O., Wiech, K., Reinecke, A., Browning, M. and Schuck, N.W.
2022, bioRxiv
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code + data
BrainIAK: The Brain Imaging Analysis Kit.
Kumar, M., [...], Schuck, N.W., [...]
2022, Aperture Neuro
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code
2021
[Preprint] Hippocampal spatio-temporal cognitive maps adaptively guide reward generalization
Garvert, Mona M., Saanum, T., Schulz, E., Schuck, N.W. and Doeller, C. F.
2021, bioRxiv
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Orbitofrontal cortex and learning predictions of state transitions.
Chan, S. C. Y. Schuck, N.W., Lopatina, N., Schoenbaum, G. and Niv, Y.
2021, Behavioral Neuroscience
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Differential prioritization of intramaze cue and boundary information during spatial navigation across the human lifespan
Glöckner, F. Schuck, N.W. and Li, S.-C.
2021, Scientific Reports
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Replay in minds and machines
Wittkuhn, L., Chien, S., Hall-McMaster, S. and Schuck, N.W.
2021, Neuroscience and Behavioral Reviews
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code
[Preprint] Integrating reward information for prospective behaviour
Hall-McMaster, S., Stokes, M.G. and Myers, N.E.
2021, bioRxiv
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Dynamics of fMRI patterns reflect sub-second activation sequences and reveal replay in human visual cortex
Wittkuhn, L. and Schuck, N.W.
2021, Nature Communications
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code + data
[Preprint] Parallel representation of context and multiple context-dependent values in ventro-medial prefrontal cortex
Moneta, N., Garvert, M.M., Heekeren, H.R. and Schuck, N.W.
2021, bioRxiv
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Control over patch encounters changes foraging behaviour
Hall-McMaster, Dayan, P. and Schuck, N.W.
2021, iScience
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code + data
2020
Current topics in Computational Cognitive Neuroscience
Hebart, M. and Schuck, N.W.
2020, Neuropsychologia
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Impaired adaptation of learning to contingency volatility in internalizing psychopathology
Gagne, C., Zika, O., Dayan, P., and Bishop, S.J.
2020, eLife
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[Preprint] Orbitofrontal cortex and learning predictions of state transitions
Chan, S. C.Y., Schuck, N.W., Lopatina, N., Schoenbaum, G. and Niv, Y.
2020, bioRxiv
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Similarities and differences in spatial and non-spatial cognitive maps
Wu, C.M., Schulz, E., Garvert, M.M., Meder, B. and Schuck, N.W.
2020, PLoS Computational Biology
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code + data
Brain network dynamics during spontaneous strategy shifts and incremental task optimization
Allegra, M., Seyed-Allaei, S., Schuck, N.W., Amati, D., Laio, A. and Reverberi, C.
2020, NeuroImage
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code
Effects of aging on encoding of walking direction in the human brain
Koch, C., Li, S.-C., Polk, TA and Schuck, N.W.
2020, Neuropsychologia
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code
[Preprint] Faster than thought: Detecting sub-second activation sequences with sequential fMRI pattern analysis
Witttkuhn, Lennart and Schuck, N.W.
2020, bioRxiv
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2019
Sequential replay of nonspatial task states in the human hippocampus
Schuck, N.W. & Niv, Y.
2019, Science
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Noisy galvanic vestibular stimulation modulates spatial memory in young healthy adults
Hilliard, D., Passow, S., Thurm, F., Schuck, N.W., Garthe, A., Kempermann, G. & Li, SC
2019, Scientific Reports
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Representational structure or task structure? Bias in neural representational similarity analysis and a Bayesian method for reducing bias
Cai, M., Schuck, N.W., Pillow, J. & Niv, Y.
2019, PLoS Computational Biology
doi:10.1101/347260
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Incidental covariation learning leading to strategy change
Gaschler, R., Schuck, N.W., Reverberi, C., Frensch, PA & Wenke, D.
2019, PLoS ONE
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[Preprint] Early development of self-guided strategy improvements in children
Schuck, N.W., Wenke, D., Ay, DS, Löwe, A., Gaschler, R. and Shing, Y.
2019, PsyArXiv
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An Integrated Model of Action Selection: Distinct Modes of Cortical Control of Striatal Decision Making
Sharpe, M., Stalnaker, T., Schuck, N.W., Killcross, S., Schoenbaum, G. & Niv, Y.
2019, Annual Review of Psychology
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2018
[Preprint] Brain network dynamics during spontaneous strategy shifts and incremental task optimization
Allegra, M., Allaei, SS, Schuck, N.W., Amati, D., Laio, A. & Reverberi, C.
2018, bioRxiv
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Connecting conceptual and spatial search via a model of generalization
Wu, C., Schulz, E., Garvert, M., Meder, B. & Schuck, N.W.
2018, Proceedings of the 40th Annual Conference of the Cognitive Science Society
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[Book Chapter] A state representation for reinforcement learning and decision-making in the orbitofrontal cortex
Schuck, N.W., Wilson, R. & Niv, Y.
2018, Chapter in Book "Goal-Directed Decision Making: Computations and Neural Circuits"
259-278, doi: 10.1101/210591
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Aging and a genetic KIBRA polymorphism interactively affect feedback- and observation-based probabilistic classification learning
Schuck, N.W.*, Petok, J.*, Meeter, M., Schjeide, B.-M., Schröder, J., Bertram, L., Gluck, M.A. & Li, S.-C.
2017, Neurobiology of Aging
in press, doi: 10.1016/j.neurobiolaging.2017.08.026
* these authors contributed equally
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2017
The role of mental maps in decision-making
Kaplan, R.*, Schuck, N.W.* & Doeller, C.F.
2017, Trends in Neurosciences
40(5), 256-259, doi: 10.1016/j.tins.2017.03.002
* these authors contributed equally
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2016
Human orbitofrontal cortex represents a cognitive map of state space
Schuck, N.W., Cai, M., Wilson, R. & Niv, Y.
2016, Neuron
91(1), 1402–1412, doi: 10.1016/j.neuron.2016.08.019
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A Bayesian method for reducing bias in neural representational similarity analysis
Cai, M., Schuck, N.W., Pillow, J. & Niv, Y.
2016, Neural Information Processing Systems
91, doi: 10.1101/073932
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Electrophysiological correlates of observational learning in children
Buritica, J.M.R., Eppinger, B., Schuck, N.W., Heekeren, H. R. & Li, S.-C.
2016, Developmental Science
19, 699–709
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Dopamine modulation of spatial navigation memory in parkinson’s disease
Thurm, F., Schuck, N.W., Fauser, M., Doeller, C.F., Stankevich, Y., Evens, R., Riedel, O., Storch, A., Lueken, U. & Li, S.-C.
2016, Neurobiology of Aging
38, 93-103. doi: 10.1016/j.neurobiolaging.2015.10.019
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2015
Human aging alters the neural computation and representation of space
Schuck, N.W., Doeller, C.F., Polk, T.A., Lindenberger, U. & Li, S.-C.
2015, NeuroImage
117, 141-150. doi: 10.1016/j.neuroimage.2015.05.031
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Medial prefrontal cortex predicts internally driven strategy shifts
Schuck, N.W., Gaschler, R., Wenke, D., Heinzle, J., Haynes, J.-D. & Reverberi, C.
2015, Neuron
86(1), 331-340. doi: 10.1016/j.neuron.2015.03.015
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Article covered in
Der Spiegel,
Berliner Zeitung
and
Princeton Journal Watch
[Commentary] How to divide and conquer the world, one step at a time
Daniel, R., Schuck, N.W. & Niv, Y.
2015, Proceedings of the National Academy of Sciences
112(10), 2929- 2930. doi: 10.1073/pnas.1500975112
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2013
Effects of aging and dopamine genotypes on the emergence of explicit memory during sequence learning
Schuck, N.W., Frensch, P.A., Schjeide, B.-M. , Bisenack, J. , Bertram, L. & Li, S.-C.
2013, Neuropsychologia
51(13), 2757- 2769. doi: 10.1016/j.neuropsychologia.2013.09.009
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Aging and KIBRA/WWC1 genotype affect spatial memory processes in a virtual navigation task
Schuck, N.W., Doeller, C.F., Schjeide, B.-M., Bisenack, J., Frensch, P.A., Bertram, L. & Li, S.-C.
2013, Hippocampus
23(10), 919-930. doi: 10.1002/hipo.22148
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Reduced striatal responses to reward prediction errors in older compared with younger adults
Eppinger, B., Schuck, N.W., Nystrom, L.E., & Cohen, J.D.
2013, Journal of Neuroscience
33(24), 9905-9912. doi: 10.1523/jneurosci.2942-12.2013
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2012
Position–item associations play a role in the acquisition of order knowledge in an implicit serial reaction time task.
Schuck, N.W., Gaschler, R., Keisler, A., & Frensch, P.A.
2012, Journal of Experimental Psychology: Learning, Memory and Cognition
38(2), 440-456. doi: 10.1037/a0025816
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Implicit learning of what comes when and where within a sequence: The time-course of acquiring serial position-item and item-item associations to represent serial order
Schuck, N.W., Gaschler, R., & Frensch, P.A.
2012, Advances in Cognitive Psychology
8(2), 83-97. doi: 10.2478/v10053-008-0106-0
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[Book Chapter] Temporal neuronal oscillations can produce spatial phase codes
Burgess, C., Schuck, N.W. & Burgess, N.
2010. In S. Dehaene and E. Brannon (Ed.), Attention & Performance XXIV. Space, Time and Number in the Brain
(pp. 59-69). Amsterdam, NL: Elsevier
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