Peer Reviewed Publications:
1. 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.
2. 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.
3. 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.
4. 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.
5. 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.
6. 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.
7. K. Das, B. Giesbrecht, Z. Kourtzi and M.P. Eckstein, “Predicting perceptual performance from neural activity”, Book Chapter, Taylor and Francis, 2010.
8. 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.
9. 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.
10. 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 .
11. 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.
12. K. Das and Z. Nenadic, “An Efficient Discriminant-based Solution for Small Sample Size Problem”, Pattern Recognition, vol. 42 (5), pp. 857-866, 2009.
13. 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.
14. 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.
15. 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.
16. 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.
17. 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.
18. 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.
2. 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.
3. 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.
4. 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.
5. 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.
6. 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.
7. K. Das, B. Giesbrecht, Z. Kourtzi and M.P. Eckstein, “Predicting perceptual performance from neural activity”, Book Chapter, Taylor and Francis, 2010.
8. 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.
9. 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.
10. 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 .
11. 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.
12. K. Das and Z. Nenadic, “An Efficient Discriminant-based Solution for Small Sample Size Problem”, Pattern Recognition, vol. 42 (5), pp. 857-866, 2009.
13. 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.
14. 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.
15. 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.
16. 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.
17. 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.
18. 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. 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.
2. 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.
3. 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.
4. F. Guo,K. Das, B. Giesbrecht, M. P. Eckstein, “Neural correlates of visual search in natural scenes”,10th Vision Sciences Society Annual Meeting, 2010.
5. 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.
6. K. Das and Z. Nenadic, “Estimating Mental States for Brain Computer Interface”, 3rd Annual Computational Cognitive Neuroscience Coneference, San Diego, CA, 2007.
7. G. Chaudhary, K Das, M.Gopi “Curvature Minimizing Depth Interpolation for Intuitive and Interactive Space Curve Sketching”, Computer Graphics International 2005.
2. 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.
3. 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.
4. F. Guo,K. Das, B. Giesbrecht, M. P. Eckstein, “Neural correlates of visual search in natural scenes”,10th Vision Sciences Society Annual Meeting, 2010.
5. 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.
6. K. Das and Z. Nenadic, “Estimating Mental States for Brain Computer Interface”, 3rd Annual Computational Cognitive Neuroscience Coneference, San Diego, CA, 2007.
7. G. Chaudhary, K Das, M.Gopi “Curvature Minimizing Depth Interpolation for Intuitive and Interactive Space Curve Sketching”, Computer Graphics International 2005.