Daniel Braun, Ph.D. - Related publications

Affiliations: 
MPI for Biological Cybernetics , "MPI for Biological Cybernetics, " 
Area:
Sensorimotor learning, Decision making
Website:
http://www.kyb.tuebingen.mpg.de/nc/employee/details/dbraun.html#=0
NOTE: We are testing a new system for identifying relevant work based on semantic analysis that identifies similarities between recently published papers and the current author's publications. You can help! If you notice any innacuracies, please sign in and mark papers as correct or incorrect matches.
50 most relevant papers in past 60 days:
Year Citation  Score
2020 Zacks O, Friedman J. Analogies can speed up the motor learning process. Scientific Reports. 10: 6932. PMID 32332826 DOI: 10.1038/s41598-020-63999-1   
2020 Konovalov A, Krajbich I. Mouse tracking reveals structure knowledge in the absence of model-based choice. Nature Communications. 11: 1893. PMID 32312966 DOI: 10.1038/s41467-020-15696-w   
2020 Brookes J, Mushtaq F, Jamieson E, Fath AJ, Bingham G, Culmer P, Wilkie RM, Mon-Williams M. Exploring disturbance as a force for good in motor learning. Plos One. 15: e0224055. PMID 32433704 DOI: 10.1371/journal.pone.0224055   
2020 Iovanac NC, Savoie BM. Simpler is Better: How Linear Prediction Tasks Improve Transfer Learning in Chemical Autoencoders. The Journal of Physical Chemistry. A. 124: 3679-3685. PMID 32267698 DOI: 10.1021/acs.jpca.0c00042   
2020 Levin MF, Demers M. Motor learning in neurological rehabilitation. Disability and Rehabilitation. 1-9. PMID 32320305 DOI: 10.1080/09638288.2020.1752317   
2020 Lynn CW, Kahn AE, Nyema N, Bassett DS. Abstract representations of events arise from mental errors in learning and memory. Nature Communications. 11: 2313. PMID 32385232 DOI: 10.1038/s41467-020-15146-7   
2020 Franklin NT, Frank MJ. Generalizing to generalize: Humans flexibly switch between compositional and conjunctive structures during reinforcement learning. Plos Computational Biology. 16: e1007720. PMID 32282795 DOI: 10.1371/journal.pcbi.1007720   
2020 White O, Gaveau J, Bringoux L, Crevecoeur F. The gravitational imprint on sensorimotor planning and control. Journal of Neurophysiology. PMID 32348686 DOI: 10.1152/jn.00381.2019   
2020 Lee MH, Jayasinghe SAL. Self-controlled practice and nudging during structural learning of a novel control interface. Plos One. 15: e0223810. PMID 32287279 DOI: 10.1371/journal.pone.0223810   
2020 Peterburs J, Frieling A, Bellebaum C. Asymmetric coupling of action and outcome valence in active and observational feedback learning. Psychological Research. PMID 32322967 DOI: 10.1007/s00426-020-01340-1   
2020 Hull C. Prediction signals in the cerebellum: beyond supervised motor learning. Elife. 9. PMID 32223891 DOI: 10.7554/eLife.54073   
2020 Maeda RS, Gribble PL, Pruszynski JA. Learning New Feedforward Motor Commands Based on Feedback Responses. Current Biology : Cb. PMID 32275882 DOI: 10.1016/j.cub.2020.03.005   
2020 Liu Y, Brincat SL, Miller EK, Hasselmo ME. A Geometric Characterization of Population Coding in the Prefrontal Cortex and Hippocampus during a Paired-Associate Learning Task. Journal of Cognitive Neuroscience. 1-11. PMID 32379002 DOI: 10.1162/jocn_a_01569   
2020 Wood J, Kim H, French MA, Reisman DS, Morton SM. Use-Dependent Plasticity Explains Aftereffects in Visually Guided Locomotor Learning of a Novel Step Length Asymmetry. Journal of Neurophysiology. PMID 32432516 DOI: 10.1152/jn.00083.2020   
2020 Feng X, Perceval GJ, Feng W, Feng C. High Cognitive Flexibility Learners Perform Better in Probabilistic Rule Learning. Frontiers in Psychology. 11: 415. PMID 32231624 DOI: 10.3389/fpsyg.2020.00415   
2020 Jo J, Kwak B, Choi HS, Yoon S. The Message Passing Neural Networks for Chemical Property Prediction on SMILES. Methods (San Diego, Calif.). PMID 32445695 DOI: 10.1016/j.ymeth.2020.05.009   
2020 Fayek HM, Cavedon L, Wu HR. Progressive learning: A deep learning framework for continual learning. Neural Networks : the Official Journal of the International Neural Network Society. 128: 345-357. PMID 32470799 DOI: 10.1016/j.neunet.2020.05.011   
2020 Pagnotta M, Laland KN, Coco MI. Attentional coordination in demonstrator-observer dyads facilitates learning and predicts performance in a novel manual task. Cognition. 201: 104314. PMID 32454263 DOI: 10.1016/j.cognition.2020.104314   
2020 Bejjani C, Tan S, Egner T. Performance feedback promotes proactive but not reactive adaptation of conflict-control. Journal of Experimental Psychology. Human Perception and Performance. 46: 369-387. PMID 32223290 DOI: 10.1037/xhp0000720   
2020 Wilkinson MP, Grogan JP, Mellor JR, Robinson ESJ. Comparison of conventional and rapid-acting antidepressants in a rodent probabilistic reversal learning task. Brain and Neuroscience Advances. 4: 2398212820907177. PMID 32219179 DOI: 10.1177/2398212820907177   
2020 Cao J, Liu W, Liu Y, Yang J. Generalize Robot Learning From Demonstration to Variant Scenarios With Evolutionary Policy Gradient. Frontiers in Neurorobotics. 14: 21. PMID 32372940 DOI: 10.3389/fnbot.2020.00021   
2020 Ell SW, Smith DB, Deng R, Hélie S. Learning and generalization of within-category representations in a rule-based category structure. Attention, Perception & Psychophysics. PMID 32333374 DOI: 10.3758/s13414-020-02024-z   
2020 Tschantz A, Seth AK, Buckley CL. Learning action-oriented models through active inference. Plos Computational Biology. 16: e1007805. PMID 32324758 DOI: 10.1371/journal.pcbi.1007805   
2020 Miyaguchi S, Inukai Y, Matsumoto Y, Miyashita M, Takahashi R, Otsuru N, Onishi H. Effects on motor learning of transcranial alternating current stimulation applied over the primary motor cortex and cerebellar hemisphere. Journal of Clinical Neuroscience : Official Journal of the Neurosurgical Society of Australasia. PMID 32402616 DOI: 10.1016/j.jocn.2020.05.024   
2020 Lokesh R, Ranganathan R. Haptic assistance that restricts the use of redundant solutions is detrimental to motor learning. Ieee Transactions On Neural Systems and Rehabilitation Engineering : a Publication of the Ieee Engineering in Medicine and Biology Society. PMID 32340954 DOI: 10.1109/TNSRE.2020.2990129   
2020 Yang Z, Xu Q, Cao X, Huang Q. Task-Feature Collaborative Learning with Application to Personalized Attribute Prediction. Ieee Transactions On Pattern Analysis and Machine Intelligence. PMID 32356738 DOI: 10.1109/TPAMI.2020.2991344   
2020 Hewitson CL, Crossley MJ, Kaplan DM. Enhanced visuomotor learning and generalization in expert surgeons. Human Movement Science. 71: 102621. PMID 32452438 DOI: 10.1016/j.humov.2020.102621   
2020 Solum M, Lorås H, Pedersen AV. A Golden Age for Motor Skill Learning? Learning of an Unfamiliar Motor Task in 10-Year-Olds, Young Adults, and Adults, When Starting From Similar Baselines. Frontiers in Psychology. 11: 538. PMID 32269545 DOI: 10.3389/fpsyg.2020.00538   
2020 Brown VM, Chen J, Gillan CM, Price RB. Improving the Reliability of Computational Analyses: Model-Based Planning and Its Relationship With Compulsivity. Biological Psychiatry. Cognitive Neuroscience and Neuroimaging. PMID 32249207 DOI: 10.1016/j.bpsc.2019.12.019   
2020 Du Y, Clark JE. Beyond the mean reaction time: Trial-by-trial reaction time reveals the distraction effect on perceptual-motor sequence learning. Cognition. 202: 104287. PMID 32353467 DOI: 10.1016/j.cognition.2020.104287   
2020 Vimal VP, Zheng H, Hong P, Fakharzadeh LN, Lackner JR, DiZio P. Characterizing Individual Differences in a Dynamic Stabilization Task Using Machine Learning. Aerospace Medicine and Human Performance. 91: 479-488. PMID 32408931 DOI: 10.3357/AMHP.5552.2020   
2020 Fleury L, Pastor D, Revol P, Delporte L, Rossetti Y. Inter-task transfer of prism adaptation depends on exposed task mastery. Scientific Reports. 10: 5687. PMID 32231235 DOI: 10.1038/s41598-020-62519-5   
2020 Yu X, Hou Z, Polycarpou MM, Duan L. Data-Driven Iterative Learning Control for Nonlinear Discrete-Time MIMO Systems. Ieee Transactions On Neural Networks and Learning Systems. PMID 32287017 DOI: 10.1109/TNNLS.2020.2980588   
2020 Roe KD, Jawa V, Zhang X, Chute CG, Epstein JA, Matelsky J, Shpitser I, Taylor CO. Feature engineering with clinical expert knowledge: A case study assessment of machine learning model complexity and performance. Plos One. 15: e0231300. PMID 32324754 DOI: 10.1371/journal.pone.0231300   
2020 Sherman BE, Graves KN, Turk-Browne NB. The prevalence and importance of statistical learning in human cognition and behavior. Current Opinion in Behavioral Sciences. 32: 15-20. PMID 32258249 DOI: 10.1016/j.cobeha.2020.01.015   
2020 Gao J, Zhang T, Xu C. Learning to Model Relationships for Zero-Shot Video Classification. Ieee Transactions On Pattern Analysis and Machine Intelligence. PMID 32305892 DOI: 10.1109/TPAMI.2020.2985708   
2020 Kim S. Bidirectional competitive interactions between motor memory and declarative memory during interleaved learning. Scientific Reports. 10: 6916. PMID 32327692 DOI: 10.1038/s41598-020-64039-8   
2020 Yu Q, Li S, Tang H, Wang L, Dang J, Tan KC. Toward Efficient Processing and Learning With Spikes: New Approaches for Multispike Learning. Ieee Transactions On Cybernetics. PMID 32356771 DOI: 10.1109/TCYB.2020.2984888   
2020 Broschard MB, Kim J, Love BC, Freeman JH. Category learning in rodents using touchscreen-based tasks. Genes, Brain, and Behavior. PMID 32383519 DOI: 10.1111/gbb.12665   
2020 Huang Y, Yaple ZA, Yu R. Goal-oriented and habitual decisions: Neural signatures of model-based and model-free learning. Neuroimage. 116834. PMID 32283275 DOI: 10.1016/j.neuroimage.2020.116834   
2020 Conn KM, Becker MW, Ravizza SM. Persistent guidance of attention in visual statistical learning. Journal of Experimental Psychology. Human Perception and Performance. PMID 32271078 DOI: 10.1037/xhp0000741   
2020 Kaminuma E, Baba Y, Mochizuki M, Matsumoto H, Ozaki H, Okayama T, Kato T, Oki S, Fujisawa T, Nakamura Y, Arita M, Ogasawara O, Kashima H, Takagi T. DDBJ Data Analysis Challenge: a machine learning competition to predict Arabidopsis chromatin feature annotations from DNA sequences. Genes & Genetic Systems. PMID 32213716 DOI: 10.1266/ggs.19-00034   
2020 Xu L, Xu M, Ke Y, An X, Liu S, Ming D. Cross-Dataset Variability Problem in EEG Decoding With Deep Learning. Frontiers in Human Neuroscience. 14: 103. PMID 32372929 DOI: 10.3389/fnhum.2020.00103   
2020 Lametti DR, Quek MYM, Prescott CB, Brittain JS, Watkins KE. The perils of learning to move while speaking: One-sided interference between speech and visuomotor adaptation. Psychonomic Bulletin & Review. PMID 32212105 DOI: 10.3758/s13423-020-01725-8   
2020 Bai R, Zhang C, Wang L, Yao C, Ge J, Duan H. Transfer Learning: Making Retrosynthetic Predictions Based on a Small Chemical Reaction Dataset Scale to a New Level. Molecules (Basel, Switzerland). 25. PMID 32438572 DOI: 10.3390/molecules25102357   
2020 Liu Y. Multi-Scale Spatio-Temporal Feature Extraction and Depth Estimation from Sequences by Ordinal Classification. Sensors (Basel, Switzerland). 20. PMID 32244820 DOI: 10.3390/s20071979   
2020 Zhu Y, Zhuang F, Wang J, Ke G, Chen J, Bian J, Xiong H, He Q. Deep Subdomain Adaptation Network for Image Classification. Ieee Transactions On Neural Networks and Learning Systems. PMID 32365037 DOI: 10.1109/TNNLS.2020.2988928   
2020 Vender M, Krivochen DG, Compostella A, Phillips B, Delfitto D, Saddy D. Disentangling sequential from hierarchical learning in Artificial Grammar Learning: Evidence from a modified Simon Task. Plos One. 15: e0232687. PMID 32407332 DOI: 10.1371/journal.pone.0232687   
2020 Reichert MS, Crofts SJ, Davidson GL, Firth JA, Kulahci IG, Quinn JL. Multiple factors affect discrimination learning performance, but not between-individual variation, in wild mixed-species flocks of birds. Royal Society Open Science. 7: 192107. PMID 32431886 DOI: 10.1098/rsos.192107   
2020 Hosoda C, Tsujimoto S, Tatekawa M, Honda M, Osu R, Hanakawa T. Plastic frontal pole cortex structure related to individual persistence for goal achievement. Communications Biology. 3: 194. PMID 32346052 DOI: 10.1038/s42003-020-0930-4