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Nicolas Schuck

© MPI for Human Development
Research Group Leader
+49 30 82406-304
schuck [at] mpib-berlin [dot] mpg [dot] de
238

Short CV: 
  Since 2017: Research Group Leader | MPRG Neurocode, Max Planck Institute for Human Development
2013 – 2017: Postdoc in Cognitive Neuroscience | Princeton Neuroscience Institute
2010 – 2013: PhD in Psychology (Dr.) | MPI for Human Development/Humboldt-Universität
2007 – 2008: Minor in Machine Learning | University of Toronto (Exchange) 
2004 – 2010: Diploma in Psychology (Dipl. Psych.) | Humboldt-Universität zu Berlin
 
 
Research Interests: 
I am fascinated by understanding how decision making problems are represented in the brain. When playing chess, for instance, a novice may think about a given position in a very different way than an expert. Crucially, experts have learned a strategy-relevant representation of the board that helps them to more rapidly extract the relevant aspects of a position. How are such adaptive representations learned, where in the brain do they reside, and how can we shape and improve this learning process in early education, in aging, and in mental disease? Unraveling how we learn representations that make complex tasks easy is the overarching goal of my research. 
I am addressing these questions by applying computational models and pattern recognition algorithms to experimental data from functional magnetic resonance imaging (fMRI). This approach allows me to decode the information hidden in the complex brain activation patterns of humans while they make decisions.

Selected Literature: 
Schuck, N. W., Petok, J. R., Meeter, M., Schjeide, B.-M. M., Schröder, J., Bertram, L., Gluck, M. A., & Li, S.-C. (2018). Aging and a genetic KIBRA polymorphism interactively affect feedback- and observation-based probabilistic classification learning. Neurobiology of Aging, 61, 36–43. 
 
Kaplan, R.*, Schuck, N.W.* & Doeller, C.F. (2017). The role of decision-making processes in memory. Trends in Neurosciences. 40 (5), 256-259.
 
Schuck, N.W., Cai, M., Wilson, RC & Niv, Y. (2016). Human orbitofrontal cortex encodes a cognitive map of state space. Neuron. 91(1), 1402-1412.
 
Schuck, N.W., Gaschler, R., Wenke, D., Heinzle, J., Haynes, J.-D. & Reverberi, C. (2015). Medial Prefrontal Cortex Predicts Internally Driven Strategy Shifts. Neuron. 86(1), 331-340.
 
Schuck, N.W., Doeller, C.F., Frensch, P.A., Polk, T.A., Lindenberger, U. & Li, S.-C. (2015). Human Aging Alters Neural Computation and Representations During Spatial Navigation. NeuroImage. 117, 141-150.

open all Curriculum Vitae

zuklappen Publications

Cai, M. B., Schuck, N. W., Pillow, J. W., & Niv, Y. (2018). Representational structure or task structure? Bias in neural representational similarity analysis and a Bayesian method for reducing bias. BioRxiv, 347260. doi:10.1101/347260
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Schuck, N. W., & Niv, Y. (2018). Sequential replay of non-spatial task states in the human hippocampus. BioRxiv, 315978. doi:10.1101/315978
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Schuck, N. W., Petok, J. R., Meeter, M., Schjeide, B.-M. M., Schröder, J., Bertram, L., Gluck, M. A., & Li, S.-C. (2018). Aging and a genetic KIBRA polymorphism interactively affect feedback- and observation-based probabilistic classification learning. Neurobiology of Aging, 61, 36-43. doi:10.1016/j.neurobiolaging.2017.08.026
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Wu, C. M., Schulz, E., Garvert, M. M., Meder, B., & Schuck, N. W. (2018). Connecting conceptual and spatial search via a model of generalization. BioRxiv, 258665. doi:10.1101/258665
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Kaplan, R., Schuck, N. W., & Doeller, C. F. (2017). The role of mental maps in decision-making. Trends in Neurosciences, 40, 256-259. doi:10.1016/j.tins.2017.03.002
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Schuck, N. W., Wilson, R. C., & Niv, Y. (2017). A state representation for reinforcement learning and decision-making in the orbitofrontal cortex. BioRxiv, 210591. doi:10.1101/210591
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Cai, M. B., Schuck, N. W., Pillow, J., & Niv, Y. (2016). A Bayesian method for reducing bias in neural representational similarity analysis. BioRxiv, 073932. doi:10.1101/073932
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Rodriguez Buritica, J. M., Eppinger, B., Schuck, N. W., Heekeren, H. R., & Li, S.-C. (2016). Electrophysiological correlates of observational learning in children. Developmental Science, 19, 699-709. doi:10.1111/desc.12317
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Schuck, N. W., Cai, M. B., Wilson, R. C., & Niv, Y. (2016). Human orbitofrontal cortex represents a cognitive map of state space. Neuron, 91, 1402-1412. doi:10.1016/j.neuron.2016.08.019
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Thurm, F., Schuck, N. W., Fauser, M., Doeller, C. F., Stankevich, Y., Evens, R., Riedel, O., Storch, A., Lueken, U., & Li, S.-C. (2016). Dopamine modulation of spatial navigation memory in Parkinson's disease. Neurobiology of Aging, 38, 93-103. doi:10.1016/j.neurobiolaging.2015.10.019
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Schuck, N. W., Doeller, C. F., Polk, T. A., Lindenberger, U., & Li, S.-C. (2015). Human aging alters the neural computation and representation of space. NeuroImage, 117, 141-150. doi:10.1016/j.neuroimage.2015.05.031
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Schuck, N. W., Gaschler, R., Wenke, D., Heinzle, J., Frensch, P. A., Haynes, J.-D., & Reverberi, C. (2015). Medial prefrontal cortex predicts internally driven strategy shifts. Neuron, 86, 331-340. doi:10.1016/j.neuron.2015.03.015
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Eppinger, B., Schuck, N. W., Nystrom, L. E., & Cohen, J. D. (2013). Reduced striatal responses to reward prediction errors in older compared with younger adults. The Journal of Neuroscience, 33, 9905-9912. doi:10.1523/JNEUROSCI.2942-12.2013
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Schuck, N. W., Doeller, C. F., Schjeide, B.-M. M., Schröder, J., Frensch, P. A., Bertram, L., & Li, S.-C. (2013). Aging and KIBRA/WWC1 genotype affect spatial memory processes in a virtual navigation task. Hippocampus, 23, 919-930. doi:10.1002/hipo.22148
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Schuck, N. W., Frensch, P. A., Schjeide, B.-M. M., Schröder, J., Bertram, L., & Li, S.-C. (2013). Effects of aging and dopamine genotypes on the emergence of explicit memory during sequence learning. Neuropsychologia, 51, 2757-2769. doi:10.1016/j.neuropsychologia.2013.09.009
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Schuck, N. W., Gaschler, R., & Frensch, P. A. (2012). 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. Advances in Cognitive Psychology, 8, 83-97. doi:10.5709/acp-0106-0
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Schuck, N. W., Gaschler, R., Keisler, A., & Frensch, P. A. (2012). Position-item associations play a role in the acquisition of order knowledge in an implicit serial reaction time task. Journal of Experimental Psychology: Learning, Memory, and Cognition, 38, 440-456. doi:10.1037/a0025816
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Burgess, C., Schuck, N. W., & Burgess, N. (2011). Temporal neuronal oscillations can produce spatial phase codes. In S. Dehaene & E. Brannon (Eds.), Space, time and number in the brain: Searching for evolutionary foundations of mathematical thought (pp. 59-69). New York: Oxford University Press. doi:10.1016/B978-0-12-385948-8.00005-0