Sebastian Musslick, Diplom - Related publications

Princeton Neuroscience Institute Princeton University, Princeton, NJ 
cognitive control
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50 most relevant papers in past 60 days:
Year Citation  Score
2019 Stawarczyk D, Bezdek MA, Zacks JM. Event Representations and Predictive Processing: The Role of the Midline Default Network Core. Topics in Cognitive Science. PMID 31486286 DOI: 10.1111/tops.12450   
2019 Gunnell DOA, Kunar MA, Watson DG. Having a phone conversation delays but does not disrupt cognitive mechanisms. Journal of Experimental Psychology. Applied. PMID 31464478 DOI: 10.1037/xap0000239   
2019 Christens BD. Ultrasociality and Intersubjectivity. American Journal of Community Psychology. PMID 31469448 DOI: 10.1002/ajcp.12391   
2019 Hornischer H, Herminghaus S, Mazza MG. Structural transition in the collective behavior of cognitive agents. Scientific Reports. 9: 12477. PMID 31462661 DOI: 10.1038/s41598-019-48638-8   
2019 Vissicchio NA, Altaras C, Parker A, Schneider S, Portnoy JG, Archetti R, Stimmel M, Foley FW. Relationship Between Anxiety and Cognition in Multiple Sclerosis: Implications for Treatment. International Journal of Ms Care. 21: 151-156. PMID 31474807 DOI: 10.7224/1537-2073.2018-027   
2019 Marton K, Scheuer J. The relationship between proceduralization and cognitive control. Journal of Communication Disorders. 105941. PMID 31587809 DOI: 10.1016/j.jcomdis.2019.105941   
2019 Dickson PE, Mittleman G. Visual Discrimination, Serial Reversal, and Extinction Learning in the Mouse. Frontiers in Behavioral Neuroscience. 13: 200. PMID 31543764 DOI: 10.3389/fnbeh.2019.00200   
2019 Zeithamova D, Mack ML, Braunlich K, Davis T, Seger CA, van Kesteren MTR, Wutz A. Brain Mechanisms of Concept Learning. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 39: 8259-8266. PMID 31619495 DOI: 10.1523/JNEUROSCI.1166-19.2019   
2019 Berner LA, Romero EM, Reilly EE, Lavender JM, Kaye WH, Wierenga CE. Task-switching inefficiencies in currently ill, but not remitted anorexia nervosa. The International Journal of Eating Disorders. PMID 31584714 DOI: 10.1002/eat.23175   
2019 Rosen ML, Amso D, McLaughlin KA. The role of the visual association cortex in scaffolding prefrontal cortex development: A novel mechanism linking socioeconomic status and executive function. Developmental Cognitive Neuroscience. 39: 100699. PMID 31446376 DOI: 10.1016/j.dcn.2019.100699   
2019 Ezzati A, Zammit AR, Harvey DJ, Habeck C, Hall CB, Lipton RB, . Optimizing Machine Learning Methods to Improve Predictive Models of Alzheimer's Disease. Journal of Alzheimer's Disease : Jad. PMID 31476152 DOI: 10.3233/JAD-190262   
2019 Günther F, Rinaldi L, Marelli M. Vector-Space Models of Semantic Representation From a Cognitive Perspective: A Discussion of Common Misconceptions. Perspectives On Psychological Science : a Journal of the Association For Psychological Science. 1745691619861372. PMID 31505121 DOI: 10.1177/1745691619861372   
2019 Rafi H, Ahmad F, Anis J, Khan R, Rafiq H, Farhan M. Comparative effectiveness of Agmatine and Choline treatment in rats with cognitive impairment induced by AlCl3 and Forced Swim Stress. Current Clinical Pharmacology. PMID 31622210 DOI: 10.2174/1574884714666191016152143   
2019 Pulcu E, Browning M. The Misestimation of Uncertainty in Affective Disorders. Trends in Cognitive Sciences. PMID 31431340 DOI: 10.1016/j.tics.2019.07.007   
2019 Coughlan EK, Williams AM, Ford PR. Lessons From the Experts: The Effect of a Cognitive Processing Intervention During Deliberate Practice of a Complex Task. Journal of Sport & Exercise Psychology. 1-11. PMID 31585434 DOI: 10.1123/jsep.2017-0363   
2019 Gehrmann S, Strobelt H, Kruger R, Pfister H, Rush AM. Visual Interaction with Deep Learning Models through Collaborative Semantic Inference. Ieee Transactions On Visualization and Computer Graphics. PMID 31425116 DOI: 10.1109/TVCG.2019.2934595   
2019 Jirout J, LoCasale-Crouch J, Turnbull K, Gu Y, Cubides M, Garzione S, Evans TM, Weltman AL, Kranz S. How Lifestyle Factors Affect Cognitive and Executive Function and the Ability to Learn in Children. Nutrients. 11. PMID 31434251 DOI: 10.3390/nu11081953   
2019 Niv Y. Learning task-state representations. Nature Neuroscience. 22: 1544-1553. PMID 31551597 DOI: 10.1038/s41593-019-0470-8   
2019 Austerweil JL, Sanborn S, Griffiths TL. Learning How to Generalize. Cognitive Science. 43: e12777. PMID 31446666 DOI: 10.1111/cogs.12777   
2019 Murdoch WJ, Singh C, Kumbier K, Abbasi-Asl R, Yu B. Definitions, methods, and applications in interpretable machine learning. Proceedings of the National Academy of Sciences of the United States of America. PMID 31619572 DOI: 10.1073/pnas.1900654116   
2019 Powell LJ. Imitation: Neither instinct nor gadget, but a cultural starting point? The Behavioral and Brain Sciences. 42: e180. PMID 31511091 DOI: 10.1017/S0140525X19000980   
2019 Spinner T, Schlegel U, Schafer H, El-Assady M. explAIner: A Visual Analytics Framework for Interactive and Explainable Machine Learning. Ieee Transactions On Visualization and Computer Graphics. PMID 31442998 DOI: 10.1109/TVCG.2019.2934629   
2019 Doyle NE, McDowall A. Context matters: A review to formulate a conceptual framework for coaching as a disability accommodation. Plos One. 14: e0199408. PMID 31437149 DOI: 10.1371/journal.pone.0199408   
2019 Chen O, Retnowati E, Kalyuga S. Element interactivity as a factor influencing the effectiveness of worked example-problem solving and problem solving-worked example sequences. The British Journal of Educational Psychology. PMID 31465546 DOI: 10.1111/bjep.12317   
2019 Klein J, McColl G. Cognitive dissonance: how self-protective distortions can undermine clinical judgement. Medical Education. PMID 31397007 DOI: 10.1111/medu.13938   
2019 Versbraegen N, Fouché A, Nachtegael C, Papadimitriou S, Gazzo A, Smits G, Lenaerts T. Using game theory and decision decomposition to effectively discern and characterise bi-locus diseases. Artificial Intelligence in Medicine. 99: 101690. PMID 31606112 DOI: 10.1016/j.artmed.2019.06.006   
2019 Borwick C, Lal R, Lim LW, Stagg CJ, Aquili L. Dopamine depletion effects on cognitive flexibility as modulated by tDCS of the dlPFC. Brain Stimulation. PMID 31494070 DOI: 10.1016/j.brs.2019.08.016   
2019 Yang Y, Xu B, Shen S, Shen F, Zhao J. Operation-aware Neural Networks for user response prediction. Neural Networks : the Official Journal of the International Neural Network Society. 121: 161-168. PMID 31563699 DOI: 10.1016/j.neunet.2019.09.020   
2019 Huang F, Han L, Jiang Y, Li F, Luo J. Neural adaptation and cognitive inflexibility in repeated problem-solving behaviors. Cortex; a Journal Devoted to the Study of the Nervous System and Behavior. 119: 470-479. PMID 31505438 DOI: 10.1016/j.cortex.2019.08.001   
2019 Torre DM, Schuwirth LWT, Van der Vleuten CPM. Theoretical considerations on programmatic assessment. Medical Teacher. 1-8. PMID 31622126 DOI: 10.1080/0142159X.2019.1672863   
2019 Whiten A. Twenty questions about cultural cognitive gadgets. The Behavioral and Brain Sciences. 42: e186. PMID 31511112 DOI: 10.1017/S0140525X19001080   
2019 Barth AL, Ray A. Progressive Circuit Changes during Learning and Disease. Neuron. 104: 37-46. PMID 31600514 DOI: 10.1016/j.neuron.2019.09.032   
2019 Rule ME, O'Leary T, Harvey CD. Causes and consequences of representational drift. Current Opinion in Neurobiology. 58: 141-147. PMID 31569062 DOI: 10.1016/j.conb.2019.08.005   
2019 Cox KM, Fiez JA. Abstract inference of unchosen option values. The European Journal of Neuroscience. PMID 31518460 DOI: 10.1111/ejn.14577   
2019 Caicedo-Torres W, Gutierrez J. ISeeU: Visually interpretable deep learning for mortality prediction inside the ICU. Journal of Biomedical Informatics. 103269. PMID 31430550 DOI: 10.1016/j.jbi.2019.103269   
2019 Frost R, Armstrong BC, Christiansen MH. Statistical learning research: A critical review and possible new directions. Psychological Bulletin. PMID 31580089 DOI: 10.1037/bul0000210   
2019 Li X, Geng Y, Shen C, Shi L. The influence of heterogeneous learning ability on the evolution of cooperation. Scientific Reports. 9: 13920. PMID 31558763 DOI: 10.1038/s41598-019-50451-2   
2019 Zhang X, Wang C, Liu Y, Chen X. Decision-Making for the Autonomous Navigation of Maritime Autonomous Surface Ships Based on Scene Division and Deep Reinforcement Learning. Sensors (Basel, Switzerland). 19. PMID 31546977 DOI: 10.3390/s19184055   
2019 Castanelli DJ, Weller JM, Molloy E, Bearman M. Shadow systems in assessment: how supervisors make progress decisions in practice. Advances in Health Sciences Education : Theory and Practice. PMID 31485893 DOI: 10.1007/s10459-019-09913-5   
2019 Lahav O, Kittany J, Levy ST, Furst M. Perception of sonified representations of complex systems by people who are blind. Assistive Technology : the Official Journal of Resna. 1-9. PMID 31577190 DOI: 10.1080/10400435.2019.1666930   
2019 James AH, Stacey-Emile G. Action learning: staff development, implementing change, interdisciplinary working and leadership. Nursing Management (Harrow, London, England : 1994). PMID 31468945 DOI: 10.7748/nm.2019.e1841   
2019 Gray R, Gow AJ. How is musical activity associated with cognitive ability in later life? Neuropsychology, Development, and Cognition. Section B, Aging, Neuropsychology and Cognition. 1-19. PMID 31549569 DOI: 10.1080/13825585.2019.1660300   
2019 Aarde SM, Hrncir H, Arnold AP, Jentsch JD. Reversal Learning Performance in the XY Mouse Model of Klinefelter and Turner Syndromes. Frontiers in Behavioral Neuroscience. 13: 201. PMID 31551728 DOI: 10.3389/fnbeh.2019.00201   
2019 Pope SM, Fagot J, Meguerditchian A, Watzek J, Lew-Levy S, Autrey MM, Hopkins WD. Optional-switch cognitive flexibility in primates: Chimpanzees' (Pan troglodytes) intermediate susceptibility to cognitive set. Journal of Comparative Psychology (Washington, D.C. : 1983). PMID 31424232 DOI: 10.1037/com0000194   
2019 Massen JJM, Behrens F, Martin JS, Stocker M, Brosnan SF. A comparative approach to affect and cooperation. Neuroscience and Biobehavioral Reviews. PMID 31557550 DOI: 10.1016/j.neubiorev.2019.09.027   
2019 Zhang S, Wu Y, Men C, He H, Liang K. Research on OpenCL optimization for FPGA deep learning application. Plos One. 14: e0222984. PMID 31600218 DOI: 10.1371/journal.pone.0222984   
2019 De Houwer J, Mattavelli S, Van Dessel P. Dissociations between Learning Phenomena do Not Necessitate Multiple Learning Processes: Mere Instructions about Upcoming Stimulus Presentations Differentially Influence Liking and Expectancy. Journal of Cognition. 2: 7. PMID 31517229 DOI: 10.5334/joc.59   
2019 Wiemken TL, Kelley RR. Machine Learning in Epidemiology and Health Outcomes Research. Annual Review of Public Health. PMID 31577910 DOI: 10.1146/annurev-publhealth-040119-094437   
2019 Kirk-Johnson A, Galla BM, Fraundorf SH. Perceiving effort as poor learning: The misinterpreted-effort hypothesis of how experienced effort and perceived learning relate to study strategy choice. Cognitive Psychology. 115: 101237. PMID 31470194 DOI: 10.1016/j.cogpsych.2019.101237   
2019 Jo T, Nho K, Saykin AJ. Deep Learning in Alzheimer's Disease: Diagnostic Classification and Prognostic Prediction Using Neuroimaging Data. Frontiers in Aging Neuroscience. 11: 220. PMID 31481890 DOI: 10.3389/fnagi.2019.00220