Brain-Inspired Attention Model for Object Counting. - Abhijeet Sinha; Sweta Kumari 002; V. Srinivasa Chakravarthy (ICONIP (2), 2022)

BIAS-3D: Brain inspired attentional search model fashioned after what and where/how pathways for target search in 3D environment. - Sweta Kumari 002; V. Y. Shobha Amala; M. Nivethithan; V. Srinivasa Chakravarthy (Frontiers Comput. Neurosci., 2022)

Biologically inspired image classifier based on saccadic eye movement design for convolutional neural networks. - Sweta Kumari 002; V. Srinivasa Chakravarthy (Neurocomputing, 2022)

The flip-flop neuron: a memory efficient alternative for solving challenging sequence processing and decision-making problems. - Sweta Kumari 002; Vigneswaran Chandrasekaran; V. Srinivasa Chakravarthy (Neural Comput. Appl., 2023)