Raju S. Bapi
Affiliations: | University of Hyderabad, Hyderabad, Telangana, India |
Area:
Neural Networks, Sequence learning, fMRI, BioInformaticsGoogle:
"Raju Bapi"Mean distance: 14.14 (cluster 29) | S | N | B | C | P |
Children
Sign in to add trainee| Krishna P. Miyapuram | grad student | University of Hyderabad | |
| V. S. Chandrasekhar Pammi | grad student | University of Hyderabad | |
| Rakesh Sengupta | grad student | University of Hyderabad |
BETA: Related publications
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Publications
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| Wutz A, Shukla A, Bapi RS, et al. (2015) Expansion and Compression of Time Correlate with Information Processing in an Enumeration Task. Plos One. 10: e0135794 |
| Wanjerkhede SM, Bapi RS, Mytri VD. (2014) Reinforcement learning and dopamine in the striatum: A modeling perspective Neurocomputing. 138: 27-40 |
| Miyapuram KP, Pamnani U, Doya K, et al. (2014) 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 |
| Prasanthi S, Sobha Rani T, Durga Bhavani S, et al. (2013) Analysis of kinase inhibitors and druggability of kinase-targets using machine learning techniques Bioinformatics: Concepts, Methodologies, Tools, and Applications. 2: 937-947 |
| Pammi VS, Miyapuram KP, Ahmed, et al. (2012) Changing the structure of complex visuo-motor sequences selectively activates the fronto-parietal network. Neuroimage. 59: 1180-9 |
| Wanjerkhede SM, Bapi RS. (2011) Role of CAMKII in reinforcement learning: a computational model of glutamate and dopamine signaling pathways. Biological Cybernetics. 104: 397-424 |
| Kumar P, Bapi RS, Radha Krishna P. (2011) Sequence pattern mining for web logs Pattern Discovery Using Sequence Data Mining: Applications and Studies. 237-243 |
| Maruthi Padmaja T, Bapi RS, Radha Krishna P. (2011) Unbalanced sequential data classification using extreme outlier elimination and sampling techniques Pattern Discovery Using Sequence Data Mining: Applications and Studies. 83-93 |
| Yadaiah N, Bapi RS, Singh L, et al. (2011) DEKF based recurrent neural network for state estimation of nonlinear dynamical systems 2011 Ieee Recent Advances in Intelligent Computational Systems, Raics 2011. 311-316 |
| Yadaiah N, Bapi RS, Kumar AS, et al. (2011) State estimation of nonlinear system through particle filter based recurrent neural networks 2011 Ieee Recent Advances in Intelligent Computational Systems, Raics 2011. 307-310 |