Takeo Watanabe - Related publications

Boston University, Boston, MA, United States 
 Linguistics Brown University, Providence, RI 
Cognition, Cognitive Neuroscience, Perception & Action
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50 most relevant papers in past 60 days:
Year Citation  Score
2019 Capotosto P, Committeri G, Baldassarre A. Causal topography of visual cortex in perceptual learning. Neuroimage. 204: 116257. PMID 31604123 DOI: 10.1016/j.neuroimage.2019.116257   
2019 Lovibond PF, Lee JC, Hayes BK. Stimulus discriminability and induction as independent components of generalization. Journal of Experimental Psychology. Learning, Memory, and Cognition. PMID 31580122 DOI: 10.1037/xlm0000779   
2019 Niv Y. Learning task-state representations. Nature Neuroscience. 22: 1544-1553. PMID 31551597 DOI: 10.1038/s41593-019-0470-8   
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 Kirby KM, Pillai SR, Carmichael OT, Van Gemmert AWA. Brain functional differences in visuo-motor task adaptation between dominant and non-dominant hand training. Experimental Brain Research. PMID 31542802 DOI: 10.1007/s00221-019-05653-5   
2019 Crollen V, Noël MP, Honoré N, Degroote V, Collignon O. Investigating the respective contribution of sensory modalities and spatial disposition in numerical training. Journal of Experimental Child Psychology. 190: 104729. PMID 31726240 DOI: 10.1016/j.jecp.2019.104729   
2019 Glassman LW, Hagmann CE, Qadri MA, Cook RG, Romero LM. The effect of learning on heart rate and behavior of European starlings (Sturnus vulgaris). Journal of Experimental Zoology. Part a, Ecological and Integrative Physiology. PMID 31541543 DOI: 10.1002/jez.2319   
2019 Lee K, Kim D. In-Silico Molecular Binding Prediction for Human Drug Targets Using Deep Neural Multi-Task Learning. Genes. 10. PMID 31703452 DOI: 10.3390/genes10110906   
2019 Kaiser J, Hoff M, Konle A, Vasquez Tieck JC, Kappel D, Reichard D, Subramoney A, Legenstein R, Roennau A, Maass W, Dillmann R. Embodied Synaptic Plasticity With Online Reinforcement Learning. Frontiers in Neurorobotics. 13: 81. PMID 31632262 DOI: 10.3389/fnbot.2019.00081   
2019 Levac DE, Huber ME, Sternad D. Learning and transfer of complex motor skills in virtual reality: a perspective review. Journal of Neuroengineering and Rehabilitation. 16: 121. PMID 31627755 DOI: 10.1186/s12984-019-0587-8   
2019 Lyu K, Li Y, Zhang Z. Attention-Aware Multi-Task Convolutional Neural Networks. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society. PMID 31603785 DOI: 10.1109/TIP.2019.2944522   
2019 Wilson RC, Shenhav A, Straccia M, Cohen JD. The Eighty Five Percent Rule for optimal learning. Nature Communications. 10: 4646. PMID 31690723 DOI: 10.1038/s41467-019-12552-4   
2019 Tavor I, Botvinik-Nezer R, Bernstein-Eliav M, Tsarfaty G, Assaf Y. Short-term plasticity following motor sequence learning revealed by diffusion magnetic resonance imaging. Human Brain Mapping. PMID 31596547 DOI: 10.1002/hbm.24814   
2019 Ritter FE, Yeh MK, Yan Y, Siu KC, Oleynikov D. Effects of Varied Surgical Simulation Training Schedules on Motor-Skill Acquisition. Surgical Innovation. 1553350619881591. PMID 31631788 DOI: 10.1177/1553350619881591   
2019 Howard SR, Avarguès-Weber A, Garcia JE, Greentree AD, Dyer AG. Achieving arithmetic learning in honeybees and examining how individuals learn. Communicative & Integrative Biology. 12: 166-170. PMID 31666918 DOI: 10.1080/19420889.2019.1678452   
2019 Stolyarova A, Rakhshan M, Hart EE, O'Dell TJ, Peters MAK, Lau H, Soltani A, Izquierdo A. Contributions of anterior cingulate cortex and basolateral amygdala to decision confidence and learning under uncertainty. Nature Communications. 10: 4704. PMID 31624264 DOI: 10.1038/s41467-019-12725-1   
2019 Ha D. Reinforcement Learning for Improving Agent Design. Artificial Life. 352-365. PMID 31697584 DOI: 10.1162/artl_a_00301   
2019 Altarelli I, Dehaene-Lambertz G, Bavelier D. Individual differences in the acquisition of non-linguistic audio-visual associations in 5 year-olds. Developmental Science. e12913. PMID 31608547 DOI: 10.1111/desc.12913   
2019 Yang HF, Lin K, Chen TY, Chen CS. Cross-Batch Reference Learning for Deep Retrieval. Ieee Transactions On Neural Networks and Learning Systems. PMID 31545744 DOI: 10.1109/TNNLS.2019.2936876   
2019 Wise T, Michely J, Dayan P, Dolan RJ. A computational account of threat-related attentional bias. Plos Computational Biology. 15: e1007341. PMID 31600187 DOI: 10.1371/journal.pcbi.1007341   
2019 Jia Z, Zhang Z, Wang L, Shan C, Tan T. Deep Unbiased Embedding Transfer for Zero-shot Learning. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society. PMID 31647434 DOI: 10.1109/TIP.2019.2947780   
2019 Gu Y, Ge Z, Bonnington CP, Zhou J. Progressive Transfer Learning and Adversarial Domain Adaptation for Cross-Domain Skin Disease Classification. Ieee Journal of Biomedical and Health Informatics. PMID 31545748 DOI: 10.1109/JBHI.2019.2942429   
2019 Howard SR, Avarguès-Weber A, Garcia JE, Greentree AD, Dyer AG. Surpassing the subitizing threshold: appetitive-aversive conditioning improves discrimination of numerosities in honeybees. The Journal of Experimental Biology. 222. PMID 31601685 DOI: 10.1242/jeb.205658   
2019 Wong YK, Lui KFH, Yip KHM, Wong AC. Is it impossible to acquire absolute pitch in adulthood? Attention, Perception & Psychophysics. PMID 31686378 DOI: 10.3758/s13414-019-01869-3   
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 Alawad M, Gao S, Qiu JX, Yoon HJ, Blair Christian J, Penberthy L, Mumphrey B, Wu XC, Coyle L, Tourassi G. Automatic extraction of cancer registry reportable information from free-text pathology reports using multitask convolutional neural networks. Journal of the American Medical Informatics Association : Jamia. PMID 31710668 DOI: 10.1093/jamia/ocz153   
2019 Wang D, Si W, Luo Y, Wang H, Ma T. Goal-directed autonomous navigation of mobile robot based on the principle of neuromodulation. Network (Bristol, England). 1-28. PMID 31564179 DOI: 10.1080/0954898X.2019.1668575   
2019 Zioga I, Harrison PMC, Pearce MT, Bhattacharya J, Di Bernardi Luft C. From learning to creativity: Identifying the behavioural and neural correlates of learning to predict human judgements of musical creativity. Neuroimage. 116311. PMID 31669411 DOI: 10.1016/j.neuroimage.2019.116311   
2019 Choo CC, Devakaran B, Chew PKH, Zhang MWB. Smartphone Application in Postgraduate Clinical Psychology Training: Trainees' Perspectives. International Journal of Environmental Research and Public Health. 16. PMID 31671592 DOI: 10.3390/ijerph16214206   
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 Duan Y, Lu J, Zheng W, Zhou J. Deep Adversarial Metric Learning. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society. PMID 31670672 DOI: 10.1109/TIP.2019.2948472   
2019 Najafi F, Medina JF. Bidirectional short-term plasticity during single-trial learning of cerebellar-driven eyelid movements in mice. Neurobiology of Learning and Memory. 107097. PMID 31610225 DOI: 10.1016/j.nlm.2019.107097   
2019 Brown CA, Scholtes I, Shenker N, Lee MC. Sub-optimal learning of tactile-spatial predictions in patients with complex regional pain syndrome. Pain. PMID 31651574 DOI: 10.1097/j.pain.0000000000001730   
2019 Richards BA, Lillicrap TP, Beaudoin P, Bengio Y, Bogacz R, Christensen A, Clopath C, Costa RP, de Berker A, Ganguli S, Gillon CJ, Hafner D, Kepecs A, Kriegeskorte N, Latham P, et al. A deep learning framework for neuroscience. Nature Neuroscience. 22: 1761-1770. PMID 31659335 DOI: 10.1038/s41593-019-0520-2   
2019 Cohen AD, Chen Z, Parker Jones O, Niu C, Wang Y. Regression-based machine-learning approaches to predict task activation using resting-state fMRI. Human Brain Mapping. PMID 31638304 DOI: 10.1002/hbm.24841   
2019 González-Cañete FJ, López Rodríguez JL, Galdón PM, Díaz-Estrella A. Improvements in the learnability of smartphone haptic interfaces for visually impaired users. Plos One. 14: e0225053. PMID 31710628 DOI: 10.1371/journal.pone.0225053   
2019 Barhorst-Cates EM, Rand KM, Creem-Regehr SH. Navigating with peripheral field loss in a museum: learning impairments due to environmental complexity. Cognitive Research: Principles and Implications. 4: 41. PMID 31641893 DOI: 10.1186/s41235-019-0189-9   
2019 Van Eycke YR, Foucart A, Decaestecker C. Strategies to Reduce the Expert Supervision Required for Deep Learning-Based Segmentation of Histopathological Images. Frontiers in Medicine. 6: 222. PMID 31681779 DOI: 10.3389/fmed.2019.00222   
2019 Narayana PA, Coronado I, Sujit SJ, Wolinsky JS, Lublin FD, Gabr RE. Deep-Learning-Based Neural Tissue Segmentation of MRI in Multiple Sclerosis: Effect of Training Set Size. Journal of Magnetic Resonance Imaging : Jmri. PMID 31625650 DOI: 10.1002/jmri.26959   
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 Tsagkatakis G, Aidini A, Fotiadou K, Giannopoulos M, Pentari A, Tsakalides P. Survey of Deep-Learning Approaches for Remote Sensing Observation Enhancement. Sensors (Basel, Switzerland). 19. PMID 31547250 DOI: 10.3390/s19183929   
2019 Sodhani S, Chandar S, Bengio Y. Toward Training Recurrent Neural Networks for Lifelong Learning. Neural Computation. 1-34. PMID 31703175 DOI: 10.1162/neco_a_01246   
2019 Giuffrida MV, Tsaftaris SA. Unsupervised Rotation Factorization in Restricted Boltzmann Machines. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society. PMID 31634130 DOI: 10.1109/TIP.2019.2946455   
2019 Kim Y, Shin J, Park H, Paik J. Real-Time Visual Tracking with Variational Structure Attention Network. Sensors (Basel, Switzerland). 19. PMID 31717609 DOI: 10.3390/s19224904   
2019 Kadohisa M, Watanabe K, Kusunoki M, Buckley MJ, Duncan J. Focused Representation of Successive Task Episodes in Frontal and Parietal Cortex. Cerebral Cortex (New York, N.Y. : 1991). PMID 31690931 DOI: 10.1093/cercor/bhz202   
2019 Jaegle A, Mehrpour V, Rust N. Visual novelty, curiosity, and intrinsic reward in machine learning and the brain. Current Opinion in Neurobiology. 58: 167-174. PMID 31614282 DOI: 10.1016/j.conb.2019.08.004   
2019 Al WA, Yun ID. Partial Policy-based Reinforcement Learning for Anatomical Landmark Localization in 3D Medical Images. Ieee Transactions On Medical Imaging. PMID 31603816 DOI: 10.1109/TMI.2019.2946345   
2019 Rodriguez-Ramos A, Alvarez-Fernandez A, Bavle H, Campoy P, How JP. Vision-Based Multirotor Following Using Synthetic Learning Techniques. Sensors (Basel, Switzerland). 19. PMID 31689962 DOI: 10.3390/s19214794   
2019 Likova LT, Mei M, Mineff KN, Nicholas SC. Learning face perception without vision: Rebound learning effect and hemispheric differences in congenital vs late-onset blindness. Is&T International Symposium On Electronic Imaging. 2019: 2371-23713. PMID 31633079 DOI: 10.2352/ISSN.2470-1173.2019.12.HVEI-237