Bio-Inspired Planning and Reaching in Complex Environments. - Rajan Bhattacharyya; Narayan Srinivasa; Stephen Grossberg (AAAI Fall Symposium: Biologically Inspired Cognitive Architectures, 2008)

Learning categories with invariances in a neural network model of prefrontal cortex. - Suhas E. Chelian; Rajan Bhattacharyya; Randall C. O'Reilly (BICA, 2011)

Adaptive Recall in Hippocampus. - Michael D. Howard; Rajan Bhattacharyya; Randall C. O'Reilly; Giorgio A. Ascoli; Jean-Marc Fellous (BICA, 2011)

Model of the interactions between neuromodulators and prefrontal cortex during a resource allocation task. - Suhas E. Chelian; Nicolas Oros; Andrew Zaldivar; Jeffrey L. Krichmar; Rajan Bhattacharyya (ICDL-EPIROB, 2012)

A bio-inspired kinematic controller for obstacle avoidance during reaching tasks with real robots. - Narayan Srinivasa; Rajan Bhattacharyya; Rashmi Sundareswara; Craig Lee; Stephen Grossberg (Neural Networks, 2012)

Using tactile displays to maintain situational awareness during driving. - Mike Howard; Rashmi Sundareswara; Mike Daily; Rajan Bhattacharyya; Sam Kaplan; T. Nathan Mundhenk; Craig Lee; Howard Neely (CogSIMA, 2013)

Using a distracted driver's behavior to inform the timing of alerts in a semi-autonomous car. - Rashmi Sundareswara; Mike Daily; Mike Howard; Howard Neely; Rajan Bhattacharyya; Craig Lee (CogSIMA, 2013)

Top-Down Executive Control Drives Reticular-Thalamic Inhibition and Relays Cortical Information in a Large-Scale Neurocognitive Model. - Matthew E. Phillips; Michael C. Avery; Jeffrey L. Krichmar; Rajan Bhattacharyya (FLAIRS, 2013)

A computational model of perirhinal cortex: Gating and repair of input to the hippocampus. - Adam W. Lester; Michael D. Howard; Jean-Marc Fellous; Rajan Bhattacharyya (IJCNN, 2013)

Hippocampal Anatomy Supports the Use of Context in Object Recognition: A Computational Model. - Patrick Greene 002; Mike Howard; Rajan Bhattacharyya; Jean-Marc Fellous (Comput. Intell. Neurosci., 2013)

Learning to Prognostically Forage in a Neural Network Model of the Interactions between Neuromodulators and Prefrontal Cortex. - Suhas E. Chelian; Matthias D. Ziegler; Peter Pirolli; Rajan Bhattacharyya (BICA, 2014)

Complementary Learning Systems. - Randall C. O'Reilly; Rajan Bhattacharyya; Michael D. Howard; Nicholas Ketz (Cogn. Sci., 2014)

Reinforcement learning and instance-based learning approaches to modeling human decision making in a prognostic foraging task. - Suhas E. Chelian; Jaehyon Paik; Peter Pirolli; Christian Lebiere; Rajan Bhattacharyya (ICDL-EPIROB, 2015)

Feature transformation of neural activity with sparse and low-rank decomposition. - Kang-Yu Ni; James Benvenuto; Rajan Bhattacharyya; Rachel Millin (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2015)

Automatic Tactical Adjustment in Real-Time: Modeling Adversary Formations with Radon-Cumulative Distribution Transform and Canonical Correlation Analysis. - Amir M. Rahimi; Soheil Kolouri; Rajan Bhattacharyya (CVPR Workshops, 2017)

Does Neurotechnology Produce a Better Brain? - Rajan Bhattacharyya; Brian A. Coffman; Jaehoon Choe; Matthew E. Phillips (Computer, 2017)

Automatic Rule Learning for Autonomous Driving Using Semantic Memory. - Dmitriy Korchev; Aruna Jammalamadaka; Rajan Bhattacharyya (CoRR, 2018)

Toward Improving the Visual Characterization of Sport Activities With Abstracted Scene Graphs. - Amir M. Rahimi; Kevin G. Lee; Amit Agarwal; Hyukseong Kwon; Rajan Bhattacharyya (CVPR Workshops, 2021)

CogSense: A Cognitively Inspired Framework for Perception Adaptation. - Hyukseong Kwon; Amir M. Rahimi; Kevin G. Lee; Amit Agarwal; Rajan Bhattacharyya (CoRR, 2021)

Semi-supervised Learning of Visual Causal Macrovariables. - Aruna Jammalamadaka; Lingyi Zhang; Joseph F. Comer; Sasha Strelnikoff; Ryan Mustari; Tsai-Ching Lu; Rajan Bhattacharyya (FLAIRS, 2023)

CAVA: Cognitive Aid for Vulnerability Analysis. - Evelyn Kim; Sunny Fugate; Christian Lebiere; Aidan Barbieux; Jonathan Buch; Jaehoon Cho; Edward A. Cranford; Joseph DiVita; Jeremy Johnson; Mia Levy; Froylan Maldonado; Brianna Marsh; et al. (HICSS, 2024)