Welcome to the Neuro Lab at IISER Kolkata !


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Understanding the Brain!


Our primary aim is to gain an overall understanding of human brain functions, cognitive and behavioral performances in real world tasks. A fundamental goal of cognitive neuroscience is to understand how the human brain processes and represents the environment and how these representations are used to guide adaptive behavior and decision making process. We apply state-of-the-art pattern recognition tools to explore the neural dynamics underlying different complex processes of cognition.

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Lab Members and Alumni




Principal Investigator:

Dr. Koel Das

Associate Professor, Department of Mathematics and Statistics.
Adjunct Faculty, Department of Biological Sciences.
Institute webpage



Lab Members:

Avishek Chatterjee

Ph.D. Student
ac17rs012@iiserkol.ac.in

Subhajit Das

Ph.D. Student
​sd21rs100@iiserkol.ac.in

Srijita Karmakar

MS Student
sk17ms173@iiserkol.ac.in



Affiliated Faculty:

Dr. Satyaki Mazumder

Assistant Professor, Department of Mathematics and Statistics.
Institute webpage



Alumni:

Bapun Giri

(2013-2015) MS, Research Assistant
Current Position- graduate student at University of Wisconsin–Milwaukee
bapun.k.giri@gmail.com

Sucheta Chakravarty

(2014-2015) Research Assistant
Current Position- graduate student at University of Alberta, Edmonton
sucheta.26@gmail.com

Dr. Ashutosh Mishra

(2015-2016) MS Student
(2016-2021) - graduate student at Donders Institute for Brain, Cognition and Behaviour, Radbound University, Nijmegen
Current Position - Research Engineer at PA Imaging, Enschede, Netherlands
mishra408@gmail.com

Rechu Divakar

(2015-2016) MS Student
Current Position - graduate student at the University of Queensland, Australia
rechudivakar@gmail.com

Rohit Uttam Bhagwat

(2016-2017) MS Student
​Current Position - Project Manager, Bridgei2i Analytics Solutions Pvt Ltd
rohitbhagwat303@gmail.com

Arpita Saha Chowdhury

Current Position - Assistant Professor, Sanaka Educational Trust's Group of Institutions, Durgapur; Ph.D Scholar, NIT Patna
arpita.rupal2012@gmail.com
arpitac.ph21.cs@nitp.ac.in

Iqra Shahzad

(2019-2020) MS Student
Current Position - graduate student at UCLouvain (Université catholique de Louvain), Belgium
iqra.shahzad@uclouvain.be
iqrashahzad14@gmail.com

Sayan Saha

(2019-2020) MS Student
Currrent Position - JRF in Computer Science, ISI Kolkata
sayansaha181196@gmail.com
ss15ms032@iiserkol.ac.in

Shouvik Majumder

(2019-2020) MS Student
Current Position - graduate student at Max Planck Florida Institute for Neuroscience, USA
shouvik.majumder@mpfi.org
Personal webpage

Adyasha Tejaswi Khuntia

(2017-2018) MS Student
Current Position - graduate student at LMU Munich, Germany
​adyasha.khuntia@med.uni-muenchen.de

Dr. Tiasha Saha Roy

(2014-2021) Ph.D. Student
Current Position - Postdoctoral Associate at the University of Minnesota, USA
tsaharoy@umn.edu
tsr14rs073@iiserkol.ac.in

Nilanjana Nandi

(2020-2021) MS Student
Current Position - Project Assistant under Dr. Supratim Ray, IISc Bangalore
10nilanjana@gmail.com
​nn16ms190@iiserkol.ac.in

List of Publications


In Review:

  1. A Chatterjee, S Mazumder, and K Das, "Reversing Food Craving preference Through Multisensory Food Exposure".
  2. A Chatterjee, S Mazumder, and K Das, "Functional Classwise Principal Component Analysis: A Classification Framework for Functional Data Anlaysis".
  3. 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".

Peer reviewed publications:

  1. T Saha Roy, S Mazumder, and K Das, "Wisdom of crowds benefits perceptual decision making across difficulty levels", Scientific Reports, 2021, https://doi.org/10.1038/s41598-020-80500-0.
  2. T Saha Roy, B Giri, A Saha Chowdhury, S Mazumder, and K Das, "How Our Perception and Confidence Are Altered Using Decision Cues", Frontiers in Neuroscience, 2020, https://doi.org/10.3389/fnins.2019.01371.
  3. 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.
  4. AT Khuntia, R Divakar, F Apicella, F Muratori, and 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.
  5. B Roy, TS Roy, SA Rahaman, K Das, and S Bandyopadhyay, "A Minimalist Approach for Distinguishing Individual Lanthanide Ions Using Multivariate Pattern Analysis", ACS sensors 3 (10), 2166-2174, 2018.
  6. BK Giri, S Sarkar, S Mazumder, and 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.
  7. 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.
  8. 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.
  9. 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.
  10. 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.
  11. 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.
  12. 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.
  13. K. Das, B Giesbrecht, Z Kourtzi, and M P Eckstein, “Predicting perceptual performance from neural activity”, Book Chapter, Taylor and Francis, 2010.
  14. R Casper, K Das, M P Eckstein, and B Giesbrecht, “Decoding Information Processing When Attention Fails: An Electrophysiological Approach”,Book Chapter, Taylor and Francis, 2010.
  15. 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.
  16. 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 .
  17. K Das, S Zhang, B Giesbrecht, and 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.
  18. K Das and Z Nenadic, “An Efficient Discriminant-based Solution for Small Sample Size Problem”, Pattern Recognition, vol. 42 (5), pp. 857-866, 2009.
  19. 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.
  20. 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.
  21. 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.
  22. 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.
  23. 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.
  24. 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. A Chatterjee, S Mazumder, and K Das, "Inducing food craving through multisensory food exposure", 22nd Vision Sciences Society Annual Meeting, 2022.
  2. S Karmakar, and K Das, "Does visual experience with face masks aid face recognition during the COVID-19 pandemic?", 22nd Vision Sciences Society Annual Meeting, 2022.
  3. T Saha Roy, A Saha Chowdhury, S Chakravarty, and 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, and B Giesbrecht, “Neural decoding during continuous task performance”, 11th Vision Sciences Society Annual Meeting, 2011.
  6. K Das, F Guo, B Giesbrecht, and 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, and 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, and 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, and M Gopi “Curvature Minimizing Depth Interpolation for Intuitive and Interactive Space Curve Sketching”, Computer Graphics International 2005.

Book Chapters:

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

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Participate in EEG study



We welcome students to take part in our EEG experiments. If you are interested please let us know, by filling up the form below, when you are available for an EEG experiment session at the lab.

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Let's Get In Touch!


Ready to start your next project with us? That's great! Give us a call or send us an email and we will get back to you as soon as possible.

Find us:

Room No 203, 2nd Floor, Research Complex
Indian Institute of Science Education and Research Kolkata
Mohanpur, Nadia, West Bengal.
India - 741246