Krishna Prasad Miyapuram

Associate Professor, Cognitive Science

My research integrates the cognitive processes of learning and decision making mechanisms in humans. Projects that are currently ongoing include behavioral and neural correlates of statistical learning, perceptual and value-based decision making. A wide range of experimental and analytic techniques such as psychophysics, eye tracking, brain imaging methodologies (EEG, fMRI) and computational modelling (Reinforcement learning, Bayesian approaches) are used. With machine learning approaches applied to structural MRI images, I am working on early detection of Alzeimhers’ disease.

Education

Ph.D. Cognitive Neuroscience, University of Cambridge (2004 – 2008)
M. Tech. Artificial Intelligence (2002- 2004) &
M.Sc. Electronics (1998-2000) University of Hyderabad

Professional and teaching experience

Assistant Professor, Indian Institute of Technology, Gandhinagar, (Oct 2012 to present)
Postdoctoral fellow, Center for Mind/Brain sciences, University of Trento, Italy (2011-2012 )
Cognitive Psychologist/Neuroscientist. Unilever R &D,Vlaardingen,The Netherlands (2008-2011)
Visiting Researcher, Core Research for Evolutionary Science & Technology, Kyoto, Japan (2003)
Visiting Researcher, Exploratory Research for Advanced Technology, Kyoto, Japan (2000/1) Research Assistant (Indo-Japanese Project – fMRI), University of Hyderabad, India (2000-2002)

Representative publications

  • Goyal, S., & Miyapuram, K. P. (2019). Feedback influences discriminability and attractiveness components of probability weighting in descriptive choice under risk. Frontiers in psychology10, 962. https://www.frontiersin.org/articles/10.3389/fpsyg.2019.00962/full
  • Chawla, M., & Miyapuram, K. P. (2018). Context-Sensitive Computational Mechanisms of Decision Making. Journal of Experimental Neuroscience. https://doi.org/10.1177/1179069518809057
  • Nath, S. S., Mukhopadhyay, D., & Miyapuram, K. P. (2019, January). Emotive Stimuli-triggered Participant-based Clustering Using a Novel Split-and-Merge Algorithm. In Proceedings of the ACM India Joint International Conference on Data Science and Management of Data (pp. 277-280). ACM.
  • Tripathi, R., Mukhopadhyay, D., Singh, C. K., Miyapuram, K. P., & Jolad, S. (2018). Characterizing functional brain networks and emotional centers based on Rasa theory of Indian aesthetics. arXiv preprint arXiv:1809.05336. https://arxiv.org/abs/1809.05336
  • Viraj Mavani, Shanmuganathan Raman, Krishna P. Miyapuram:
    Facial Expression Recognition Using Visual Saliency and Deep Learning. ICCV Workshops 2017: 2783-2788 http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w40/Mavani_Facial_Expression_Recognition_ICCV_2017_paper.pdf
  • Chawla, M., & Miyapuram, K. P. (2016, September). Common neural coding across domains of decision making identified by meta-analysis. In Front. Neuroinform. Conference Abstract: Neuroinformatics.
  • Devu Mahesan, Manisha Chawla, Krishna P. Miyapuram:
    The Effect of Reward Information on Perceptual Decision-Making. ICONIP (4) 2016: 156-163
  • Goyal, S., Miyapuram, K. P., & Lahiri, U. (2015, November). Predicting Consumer's Behavior Using Eye Tracking Data. In Soft Computing and Machine Intelligence (ISCMI), 2015 Second International Conference on (pp. 126-129). IEEE.
  • Manisha Chawla, Krishna P. Miyapuram:
    Influence of Previous Choice and Outcome in a Two-Alternative Decision-Making Task.ICONIP (2) 2015: 467-474
  • M. Chawla, and K.P. Miyapuram, Comparison of meta-analysis approaches for neuroimaging studies of reward processing: A case study. IJCNN 2015: 1-5 {Talk}
  • Miyapuram, K.P., Pamnani, U., Doya, K., Bapi, R.S. Inter Subject Correlation of Brain Activity  during Visuo-Motor Sequence Learning, 21st International Conference on Neural Information Processing (ICONIP2014).
  • Neeraj Kumar, Jaison A. Manjaly, K.P. Miyapuram. (2014) Feedback about Action Performed can Alter the Sense of Self Agency, Frontiers in Psychology (Consciousness Research), 5:145.
  • E.H. Zandstra, K.P. Miyapuram, P.N. Tobler. (2013). Understanding consumer decisions using behavioural economics. Progress in Brain Research, 202:197-211.
  • K.P. Miyapuram, V.S.C. Pammi.  (2013). Understanding Decision Neuroscience – A multidisciplinary perspective and neural substrates. Progress in Brain Research, 202:239-66.
  • K.P. Miyapuram, P.N. Tobler, L. Gregorios-Pippas, W. Schultz. (2012) BOLD responses in reward regions to hypothetical and imaginary monetary rewards. NeuroImage 59(2):1692-1699.
  • V.S.C. Pammi*, K.P. Miyapuram*, Ahmed, K. Samejima, R.S. Bapi, K. Doya. (2012). Changing the Structure of Complex Visuo-motor Sequences Selectively Activates the Fronto-Parietal Network. NeuroImage 59(2):1180-1189. {* = Equal contribution}
  • R.S. Bapi, K.P. Miyapuram, F.X. Graydon, K. Doya. (2006). fMRI investigation of cortical and subcortical networks in the learning of abstract and effector-specific representations of motor sequences. NeuroImage, 32(2):714-727. {Editor’s Choice Award for the year 2006}

GRANTS

  • Principal Investigator, Statistical Learning of Category Information: A neuroimaging Investigation, DST Cognitive Science Research Initiative, 2013-2016
  • Principal Investigator, Integration of Perceptual and Value based decision making: A Cognitive and Computational Approach, DST Cognitive Science Research Initiative, 2015-2017.
  • Mentor, The Relevance of 9th Rasa In The Generation Of Aesthetic Delight: A Neuroaesthetic Approach Using EEG and Eyetracking, DST Cognitive Science Research Initiative, Postdoctoral fellowship to Dr. Dyutiman Mukhopadhyay, 2014-2016.
  • Principal Investigator, Deep Learning of Musical Experience using EEG, PlayPowerLabs, USA, 2019-2020
  • Principal Investigator, Early detection of Alzheimer’s using Individualized Brain Atlases and Machine Learning in multilateral project on Brain functional connectivity in health and disease - under India-Trento Programme for Advanced Research, DST, 2019-2022

Supervision

Dyutiman Mukhopadhyay -

Manisha Chawla - Context Sensitive Computational Mechanisms of Decision Making (Dec 2012- Jan 2018)

Shruti Goyal - Decisions Under Risk: Factors Affecting Descriptive Choices (July 2014 - Oct 2019)

Richa Tripathi -

Pankaj Pandey -

Prashanti Ganesh -

Raunak Swarnkar -

Ekta Khemchandani - (with Dr. Proshanto Saha, GFSU)

Kushpal Yadav -

Dhananjay Sonwane -

Priyanka Gautam -

    • Saba Pathan - (with Dr. Proshanto Saha, GFSU)
    • Prashant Lawhatre -
    • Bhavesh Sonwani – Integration of Auditory and Visual information in multisensory perception, 2016-2018
    • Shobhit Kakaria – EEG based prediction of Movie Preferences: A neuromarketing Study, 2016-2018
    • Narmadha Nagaraj – EEG study of partial and complete feedback in Decision making 2015-2017
    • Bharatesh R. Shiraguppi – Early detection of Alzhiemers using Individualised Brain Atlases 2015-2017
    • Devu Mahesan – Integration of Perceptual and Value based decision making 2014-2016
    • Rakhi – Relationship between impulsivity and food choice 2014-16
    • Abhishek Ghatraj – Influence of regularity of auditory tones in motor sequence learning 2014-16
    • Dr. Ashwani Kumar Mishra – Voxel based Morphometry of Alzheimers disease neuroimaging initiative  data, 2013-15
    • Ujjval Pamnani – Computational modelling of two-alternative decision making, 2013-15