Welcome to the Neuro Lab at IISER Kolkata !

In Review:

1. T Saha Roy, A Saha Chowdhury, S Chakravarty, S Mazumder and K Das, "Neural Timeline and Effect of Task Difficulty on Contextual Guidance of Visual Search in Natural Scenes".
2. AT Khuntia, R Divakar, F Apicella, F Muratori, K Das, "Visual processing and attention rather than face and emotion processing play a distinct role in ASD: an EEG study", bioRxiv 517664; doi: https://doi.org/10.1101/517664.

Peer reviewed publications:

1. S Das, S Mazumder, and K Das. "Electrode Selection Based on FDA techniques for EEG Signal Classification." 2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology. IEEE, 2023. https://doi.org/10.1109/IEEECONF58974.2023.10404817
2. A Chatterjee, S Mazumder, and K Das. "Reversing Food Craving Preference Through Multisensory Exposure." PloS one, 2023. https://doi.org/10.1371/journal.pone.0288695
3. A Chatterjee, S Mazumder and K Das, "Functional Classwise Principal Component Analysis: A Classification Framework for Functional Data Anlaysis". Data Mining and Knowledge Discovery, 2022. https://doi.org/10.1007/s10618-022-00898-1.
4. T Saha Roy, S Mazumder, K Das, "Wisdom of crowds benefits perceptual decision making across difficulty levels", Scientific Reports, 2021, https://doi.org/10.1038/s41598-020-80500-0.
5. T Saha Roy, B Giri, A Saha Chowdhury, S Mazumder, K Das, "How Our Perception and Confidence Are Altered Using Decision Cues", Frontiers in Neuroscience, 2020, https://doi.org/10.3389/fnins.2019.01371.
6. S. Majumder, F. Apicella, F. Muratori and K. Das, "Detecting Autism Spectrum Disorder Using Topological Data Analysis," ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Barcelona, Spain, 2020, pp. 1210-1214, doi: 10.1109/ICASSP40776.2020.9054747.
7. B Roy, TS Roy, SA Rahaman, K Das, S Bandyopadhyay, "A Minimalist Approach for Distinguishing Individual Lanthanide Ions Using Multivariate Pattern Analysis", ACS sensors 3 (10), 2166-2174, 2018.
8. BK Giri, S Sarkar, S Mazumder, K Das, "A computationally efficient order statistics based outlier detection technique for EEG signals", Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE, 4765-4768.
9. T Preston,F Guo, K Das, B. Giesbrecht and M.P. Eckstein , “ Neural Representations of Contextual Guidance in Visual Search of Real-World Scenes”, Journal of Neuroscience 33(18), pp-7846-7855, 2013.
10. F Guo, T Preston, K Das, B. Giesbrecht and M.P. Eckstein , “Neural mechanisms for target detection in scenes”, Journal of Neuroscience 32(28), pp-9499-9510,2012.
11. M.P. Eckstein , K Das, B. Giesbrecht, B.T. Pham, M.F. Peterson, C.K. Abbey, and J. L. Sy, “Neural decoding of collective wisdom with multi-brain computing”, NeuroImage, 59(1),pp 94-108, 2012.
12. K Das, A. Majumder,M Siegenthaler, J Meyer,H Keirstead and M.Gopi “Automated cell classification and visualization for analyzing remyelination therapy”, The Visual Computer, 27(12), pp1055-1069,2011.
13. K. Das, B. Giesbrecht, and M.P. Eckstein, “Predicting variations of perceptual performance across individuals from neural activity using pattern classifiers”,NeuroImage, 51(4),pp 1425-1437, 2010.
14. M.F. Peterson, K. Das, J.L. Sy, S. Li, B. Giesbrecht, Z. Kourtzi and M.P. Eckstein, “Ideal observer analysis for task normalization of pattern classifier performance applied to electrophysiological and neuroimaging data”, Journal of the Opt. Soc. of Am. A, 26, 27(12), pp. 2670-2683, 2010.
15. K. Das, B. Giesbrecht, Z. Kourtzi and M.P. Eckstein, “Predicting perceptual performance from neural activity”, Book Chapter, Taylor and Francis, 2010.
16. R. Casper, K. Das, M.P. Eckstein and B. Giesbrecht, and, “Decoding Information Processing When Attention Fails: An Electrophysiological Approach”,Book Chapter, Taylor and Francis, 2010.
17. K Das, A. Majumder,M Siegenthaler, J Meyer,H Keirstead and M.Gopi “Progressive Isocontour Analysis for Remyelination Detection and Classification”, in Proc. of ICVGIP, 2010.
18. K. Das, D. Rizzuto and Z. Nenadic, “Mental State Estimation for Brain Computer Interface”, IEEE Transactions on Biomedical Engineering, vol. 56(8), pp. 2214-2111,2009 .
19. K.Das, S. Zhang, B. Giesbrecht, M. P. Eckstein " Using Rapid Visually Evoked EEG Activity for Person Identification",in Proc. of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2009.
20. K. Das and Z. Nenadic, “An Efficient Discriminant-based Solution for Small Sample Size Problem”, Pattern Recognition, vol. 42 (5), pp. 857-866, 2009.
21. K. Das, and Z. Nenadic, Approximate Information Discriminant Analysis: a Computationally Simple Heteroscedastic Feature Extraction Technique, Pattern Recognition, vol. 41 (5), pp. 1565-1574, 2008.
22. . K. Das, S. Osechinskiy, and Z. Nenadic, A classwise PCA-based recognition of neural data for brain-computer interfaces, in Proc. of the 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 6519-6522, 2007.
23. K. Das, J Meyer and Z. Nenadic “Analysis of Large-Scale Biomedical Data for Brain-Computer Interfaces”, in Proc. of the 27th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 5731-5734, 2006.
24. K Das, P. Diaz-Gutierrez and M.Gopi “Sketching Free-form Surfaces Using Network of Curves”, in Eurographics Workshop on Sketch Based Interfaces and Modeling, 2005.
25. A .Paul, A K. Shaw , K. Das, and A Mitra, “Improved HRR-ATR Using Hybridization of Hmm And Eigen-Templates-Matched Filtering”,in Proceedings of ICASSP, 2003.
26. D. S.Brungart, A. J. Kordik, K. Das and A. K. Shaw, “The Effects of Pitch Manipulation and the Perceived Distance Of Synthesized Speech”, in Proceedings of ICSLP,2002.

Abstract:

1. S. Karmakar, and K. Das. "Does visual experience with face masks aid face recognition during the COVID-19 pandemic?." Journal of Vision 22.14 (2022): 3243-3243.
2. A. Chatterjee, S. Mazumder, and K. Das. "Inducing food craving through multisensory food exposure." Journal of Vision 22.14 (2022): 3477-3477.
3. T Saha Roy, A Saha Chowdhury, S Chakravarty, K Das; Effect of Contextual Guidance and Task Difficulty in Exploring Neural Timeline of Visual Search in Natural Scenes. Journal of Vision 2020;20(11):281. doi: https://doi.org/10.1167/jov.20.11.281.
4. K. Das, B. K. Giri, A. S. Chowdhury and S. Chakraborty, "Manipulating perceptual decision using input from others", 15th Vision Sciences Society Annual Meeting, 2015.
5. J S-Reinhold, J L Sy, K Das, J C Elliott, M P Eckstein, B Giesbrecht, “Neural decoding during continuous task performance”, 11th Vision Sciences Society Annual Meeting, 2011.
6. K. Das, F. Guo, B. Giesbrecht, M. P. Eckstein, “Predicting contextual locations in natural scenes from neural activity”, 10th Vision Sciences Society Annual Meeting, 2010.
7. F. Guo,K. Das, B. Giesbrecht, M. P. Eckstein, “Neural correlates of visual search in natural scenes”,10th Vision Sciences Society Annual Meeting, 2010.
8. K.Das, S. Zhang, B. Giesbrecht, M. P. Eckstein “Visually evoked EEG activity differentiates individuals during a perceptual categorization task but preparatory or late activity does not”, 9th Vision Sciences Society Annual Meeting, 2009.
9. K. Das and Z. Nenadic, “Estimating Mental States for Brain Computer Interface”, 3rd Annual Computational Cognitive Neuroscience Coneference, San Diego, CA, 2007.
10. G. Chaudhary, K Das, M.Gopi “Curvature Minimizing Depth Interpolation for Intuitive and Interactive Space Curve Sketching”, Computer Graphics International 2005.

Book Chapters:

1. K Das, Z Nenadic, "A Nonlinear Technique for Analysis of Big Data in Neuroscience", Big Data Analytics, 237-257, 2016.