Jordan A. Taylor, Ph.D. - Related publications

Psychology Princeton University, Princeton, NJ 
Motor Control, Motor Learning
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17 most relevant papers in past 60 days:
Year Citation  Score
2021 Maurer LK, Joch M, Hegele M, Maurer H, Müller H. Relevance of predictive and postdictive error information in the course of motor learning. Neuroscience. PMID 34000321 DOI: 10.1016/j.neuroscience.2021.05.007   
2021 Margraf L, Krause D, Weigelt M. Valence-dependent neural correlates of augmented feedback processing in extensive motor sequence learning - Part II: Predictive value of event-related potentials for behavioral adaptation and learning. Neuroscience. PMID 33945795 DOI: 10.1016/j.neuroscience.2021.04.018   
2021 Olivier GN, Paul SS, Walter CS, Hayes HA, Foreman KB, Duff K, Schaefer SY, Dibble LE. The feasibility and efficacy of a serial reaction time task that measures motor learning of anticipatory stepping. Gait & Posture. 86: 346-353. PMID 33857800 DOI: 10.1016/j.gaitpost.2021.04.002   
2021 Zhong S, Zhou J, Qiao H. Bioinspired Gain-Modulated Recurrent Neural Network for Controlling Musculoskeletal Robot. Ieee Transactions On Neural Networks and Learning Systems. PMID 33861712 DOI: 10.1109/TNNLS.2021.3071196   
2021 Bera K, Shukla A, Bapi RS. Cognitive and Motor Learning in Internally-Guided Motor Skills. Frontiers in Psychology. 12: 604323. PMID 33897525 DOI: 10.3389/fpsyg.2021.604323   
2021 Frömer R, Nassar MR, Bruckner R, Stürmer B, Sommer W, Yeung N. Response-based outcome predictions and confidence regulate feedback processing and learning. Elife. 10. PMID 33929323 DOI: 10.7554/eLife.62825   
2021 Sayalı C, Badre D. Neural systems underlying the learning of cognitive effort costs. Cognitive, Affective & Behavioral Neuroscience. PMID 33959895 DOI: 10.3758/s13415-021-00893-x   
2021 Muratore P, Capone C, Paolucci PS. Target spike patterns enable efficient and biologically plausible learning for complex temporal tasks. Plos One. 16: e0247014. PMID 33592040 DOI: 10.1371/journal.pone.0247014   
2021 Tanamachi K, Izawa J, Yamamoto S, Ishii D, Yozu A, Kohno Y. Experience of After-Effect of Memory Update Reduces Sensitivity to Errors During Sensory-Motor Adaptation Task. Frontiers in Human Neuroscience. 15: 602405. PMID 33790749 DOI: 10.3389/fnhum.2021.602405   
2021 Rosedahl LA, Ashby FG. Linear separability, irrelevant variability, and categorization difficulty. Journal of Experimental Psychology. Learning, Memory, and Cognition. PMID 33871263 DOI: 10.1037/xlm0001000   
2021 Rice P, Pugh M, Geraghty R, Hameed BZ, Shah M, Somani BK. Machine Learning Models for Predicting Stone-Free Status after Shockwave Lithotripsy: A Systematic Review and Meta-Analysis. Urology. PMID 33894229 DOI: 10.1016/j.urology.2021.04.006   
2021 Budd S, Robinson EC, Kainz B. A survey on active learning and human-in-the-loop deep learning for medical image analysis. Medical Image Analysis. 71: 102062. PMID 33901992 DOI: 10.1016/   
2021 Takács Á, Kóbor A, Kardos Z, Janacsek K, Horváth K, Beste C, Nemeth D. Neurophysiological and functional neuroanatomical coding of statistical and deterministic rule information during sequence learning. Human Brain Mapping. PMID 33797825 DOI: 10.1002/hbm.25427   
2021 Sirshar M, Hassan T, Akram MU, Khan SA. An incremental learning approach to automatically recognize pulmonary diseases from the multi-vendor chest radiographs. Computers in Biology and Medicine. 134: 104435. PMID 34010791 DOI: 10.1016/j.compbiomed.2021.104435   
2021 Reed MB, Vanicek T, Seiger R, Klöbl M, Spurny B, Handschuh P, Ritter V, Unterholzner J, Godbersen GM, Gryglewski G, Kraus C, Winkler D, Hahn A, Lanzenberger R. Neuroplastic effects of a selective serotonin reuptake inhibitor in relearning and retrieval. Neuroimage. 236: 118039. PMID 33852940 DOI: 10.1016/j.neuroimage.2021.118039   
2021 Wang S, Chen Z, Du S, Lin Z. Learning Deep Sparse Regularizers with Applications to Multi-View Clustering and Semi-Supervised Classification. Ieee Transactions On Pattern Analysis and Machine Intelligence. PMID 34018930 DOI: 10.1109/TPAMI.2021.3082632   
2021 Pang X, Zhao Z, Weng Y. The Role and Impact of Deep Learning Methods in Computer-Aided Diagnosis Using Gastrointestinal Endoscopy. Diagnostics (Basel, Switzerland). 11. PMID 33919669 DOI: 10.3390/diagnostics11040694