Embedded Files
For questions on any specific publication, feel free to message my office, and a teaching staff member will respond as soon as possible. Please check my google scholar profile for a full list.
For questions on any specific publication, feel free to message my office, and a teaching staff member will respond as soon as possible. Please check my google scholar profile for a full list.
Publications
Publications
2024
2024
Sengupta, R., Bapiraju, S., & Pattanayak, A. (2024). Exploring Emergent Properties of Recurrent Neural Networks Using a Novel Energy Function Formalism. International Conference on Machine Learning, Optimization, and Data Science, 303–317. Springer Nature Switzerland Cham. Link
Vindhya, L. S., Gnana Prasanna, R., Sengupta, R., & Shukla, A. (2024). Modeling Primacy, Recency, and Cued Recall in Serial Memory Task Using On-Center Off-Surround Recurrent Neural Network. International Conference on Machine Learning, Optimization, and Data Science, 405–414. Springer Nature Switzerland Cham. Link
2023
2023
Verma, B. K., & Sengupta, R. (2023). Emergence of behavioral phenomena and adaptation effects in human numerosity decoder using recurrent neural networks. Scientific Reports, 13(1), 19571.
Sengupta, R., Rao, P. V. R., Prusty, A., Jackson, B. M., & Raja Shekar, P. V. (2023). Is Deceitful Autobiographical Memory Really Forgotten? Psychological Reports, 00332941231213021.
Janapati, R., Dalal, V., Desai, U., Sengupta, R., Kulkarni, S. A., & Hemanth, D. J. (2023). Classification of Visually Evoked Potential EEG Using Hybrid Anchoring-based Particle Swarm Optimized Scaled Conjugate Gradient Multi-Layer Perceptron Classifier. INTERNATIONAL JOURNAL ON ARTIFICIAL INTELLIGENCE TOOLS, 32(03), 2340016.
Reddy, R. A., Sengupta, R., Jackson, B. M., & Lewis, C. (2023). Development of a new measure to check attitude towards water conservation✰. MethodsX, 10, 101992.
Janapati, R., Dalal, V., & Sengupta, R. (2023). Advances in modern EEG-BCI signal processing: A review. Materials Today: Proceedings, 80, 2563–2566.
2022
2022
Janapati, R., Dalal, V., & Sengupta, R. (2022). Advances in experimental paradigms for EEG-BCI. Proceedings of the 2nd International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications: ICMISC 2021, 163–170. Springer Singapore.
Janapati, R., Dalal, V., Sengupta, R., Desai, U., Raja Shekar, P. V., & Kollem, S. (2022). Towards a more theory-driven BCI using source reconstructed dynamics of EEG time-series. Nano Life, 12(02), 2250005.
Sengupta, R., & Raja Shekar, P. V. (2022). Oscillatory dynamics in complex recurrent neural networks. Biophysical Reviews and Letters, 17(02), 75–85.
2021
2021
Janapati, R., Dalal, V., Sengupta, R., & Pv, R. S. (2021). Progression of EEG-BCI classification techniques: A study. Inventive Systems and Control: Proceedings of ICISC 2021, 161–170.
2018
2018
Sengupta, R. (2018). How embodied is time? Journal of Indian Council of Philosophical Research, 35, 431–445.
2017
2017
Sengupta, R., Bapiraju, S., & Melcher, D. (2017). Big and small numbers: Empirical support for a single, flexible mechanism for numerosity perception. Attention, Perception, & Psychophysics, 79, 253–266.
2014
2014
Sengupta, R., Surampudi, R. B., & Melcher, D. (2014). A visual sense of number emerges from the dynamics of a recurrent on-center off-surround neural network. Brain Research, 1582(25), 114–124.
Knops, A., Piazza, M., Sengupta, R., Eger, E., & Melcher, D. (2014). A shared, flexible neural map architecture reflects capacity limits in both visual short-term memory and enumeration. Journal of Neuroscience, 34(30), 9857–9866.
Krishna, D. H., Sengupta, R., Pasha, I. A., & Savithri, T. S. (2014). Brain Computer Interface For Mobility-A Case Study With ALS Patient. International Journal of Applied Engineering Research, 9(24), 26055–26070.
Page updated
Google Sites
Report abuse