Year |
Citation |
Score |
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 |
0.476 |
|
2021 |
Bera K, Shukla A, Bapi RS. Motor Chunking in Internally Guided Sequencing. Brain Sciences. 11. PMID 33652707 DOI: 10.3390/brainsci11030292 |
0.39 |
|
2018 |
Singh NP, Bapi RS, Vinod PK. Machine learning models to predict the progression from early to late stages of papillary renal cell carcinoma. Computers in Biology and Medicine. 100: 92-99. PMID 29990647 DOI: 10.1016/j.compbiomed.2018.06.030 |
0.34 |
|
2016 |
Savalia T, Shukla A, Bapi RS. A Unified Theoretical Framework for Cognitive Sequencing. Frontiers in Psychology. 7: 1821. PMID 27917146 DOI: 10.3389/fpsyg.2016.01821 |
0.485 |
|
2015 |
Wutz A, Shukla A, Bapi RS, Melcher D. Expansion and Compression of Time Correlate with Information Processing in an Enumeration Task. Plos One. 10: e0135794. PMID 26308546 DOI: 10.1371/Journal.Pone.0135794 |
0.543 |
|
2014 |
Wutz A, Shukla A, Bapi RS, Melcher D. Subjective Distortions of Time Influence Rapid Information Accrual Procedia - Social and Behavioral Sciences. 126: 127-128. DOI: 10.1016/J.Sbspro.2014.02.341 |
0.543 |
|
2014 |
Wanjerkhede SM, Bapi RS, Mytri VD. Reinforcement learning and dopamine in the striatum: A modeling perspective Neurocomputing. 138: 27-40. DOI: 10.1016/j.neucom.2013.02.061 |
0.39 |
|
2014 |
Miyapuram KP, Pamnani U, Doya K, Bapi RS. Inter Subject Correlation of Brain Activity during Visuo-Motor Sequence learning Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8834: 35-41. |
0.747 |
|
2012 |
Pammi VS, Miyapuram KP, Ahmed, Samejima K, Bapi RS, Doya K. Changing the structure of complex visuo-motor sequences selectively activates the fronto-parietal network. Neuroimage. 59: 1180-9. PMID 21867758 DOI: 10.1016/J.Neuroimage.2011.08.006 |
0.718 |
|
2011 |
Miyapuram KP, Doya K, Bapi RS. Chunking During Learning of Visuomotor Sequences with Spatial and Arbitrary Rules: Preliminary Findings Psychological Studies. 57: 22-28. DOI: 10.1007/S12646-011-0118-6 |
0.765 |
|
2010 |
Chakravarthy VS, Joseph D, Bapi RS. What do the basal ganglia do? A modeling perspective. Biological Cybernetics. 103: 237-53. PMID 20644953 DOI: 10.1007/s00422-010-0401-y |
0.392 |
|
2008 |
Wanjerkhede SM, Bapi RS. Modeling the sub-cellular signaling pathways involved in reinforcement learning at the striatum. Progress in Brain Research. 168: 193-206. PMID 18166396 DOI: 10.1016/S0079-6123(07)68016-9 |
0.349 |
|
2007 |
Singh V, Miyapuram KP, Bapi RS. Detection of cognitive states from fMRI data using machine learning techniques Ijcai International Joint Conference On Artificial Intelligence. 587-592. |
0.701 |
|
2006 |
Bapi RS, Miyapuram KP, Graydon FX, Doya K. fMRI investigation of cortical and subcortical networks in the learning of abstract and effector-specific representations of motor sequences. Neuroimage. 32: 714-27. PMID 16798015 DOI: 10.1016/j.neuroimage.2006.04.205 |
0.771 |
|
2006 |
Miyapuram KP, Bapi RS, Pammi CVS, Ahmed, Doya K. Hierarchical chunking during learning of visuomotor sequences Ieee International Conference On Neural Networks - Conference Proceedings. 249-253. |
0.756 |
|
2005 |
Bapi RS, Chandrasekhar Pammi VS, Miyapuram KP, Ahmed. Investigation of sequence processing: A cognitive and computational neuroscience perspective Current Science. 89: 1690-1698. |
0.682 |
|
2004 |
Chandrasekhar Pammi VS, Miyapuram KP, Bapi RS, Doya K. Chunking phenomenon in complex sequential skill learning in humans Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3316: 294-299. |
0.719 |
|
2000 |
Bapi RS, Doya K, Harner AM. Evidence for effector independent and dependent representations and their differential time course of acquisition during motor sequence learning. Experimental Brain Research. 132: 149-62. PMID 10853941 DOI: 10.1007/s002219900332 |
0.501 |
|
1997 |
Bapi RS, D'Cruz B, Bugmann G. Neuro-resistive grid approach to trainable controllers: A pole balancing example Neural Computing and Applications. 5: 33-44. DOI: 10.1007/Bf01414101 |
0.352 |
|
1997 |
Bapi RS, Levine DS. Modeling the role of the frontal lobes in sequential task performance. Part II.: Classification of sequences Neural Network World. 7: 3-27. |
0.49 |
|
1994 |
Bapi RS, Levine DS. Modeling the role of frontal lobes in sequential task performance. I. Basic structure and primacy effects Neural Networks. 7: 1167-1180. DOI: 10.1016/S0893-6080(05)80165-0 |
0.658 |
|
1991 |
Raghupathi BW, Schkade LL, Bapi RS, Levine DS. Exploring connectionist approaches to legal decision making Behavioral Science. 36: 133-139. DOI: 10.1002/Bs.3830360206 |
0.458 |
|
1990 |
Levine DS, Bapi RS. Networks modeling the involvement of the frontal lobes in learning and performance of flexible movement sequences Ijcnn. International Joint Conference On Neural Networks. 759-764. |
0.611 |
|
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