Cognitive Neuroscience

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1. Rakesh Sengupta, Raju Surampudi Bapi, Anindya Pattanayak (2017), “From Neural Network To Psychophysics Of Time: Exploring Emergent Properties Of RNNs Using Novel Hamiltonian Formalism” bioRxiv 125849
2. Rakesh Sengupta, Bapi Raju Surampudi, and David Melcher (2017), “Big and small numbers: empirical support for a single, flexible mechanism for human numerosity perception”. Attention, Perception, & Psychophysics, 79: 253-266.
3. Rakesh Sengupta (2015), “Pre-stimulus oscillatory brain states and cognition: a theoretical approach”, arXiv preprint arXiv:1508.02257
4. Rakesh Sengupta, Bapi Raju Surampudi, and David Melcher (2014), “A visual sense of number emerges from the dynamics of a recurrent on-center off-surround neural network”, Brain Research, 1582: 114-124 pdf
5. André Knops, Manuela Piazza, Rakesh Sengupta, Evelyn Eger, and David Melcher (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. pdf
6. Rakesh Sengupta, D. Hari Krishna, I. A. Pasha, and T. Satya Savithri (2014) “Brain Computer Interface for mobility-a case study with ALS patient”, International Journal of Applied Engineering Research, 9: 26055-26070 pdf
7. Rakesh Sengupta (2015), “Computational and empirical investigations of numbers, time, and memory”, PhD dissertation
8. Rakesh Sengupta (2015),  “Pre-stimulus oscillatory brain states and cognition: a theoretical approach”, Journal of Computational Neuroscience, In review
9. Rakesh Sengupta (2015) “How embodied is time?”, Journal of Theoretical and Philosophical Psychology, In review