Edited Books

Pammi, V.S.C., & Srinivasan, N (Eds.) (2013). Decision Making: Neural and Behavioral Approaches, Progress in Brain Research: Vol. 202, Amsterdam: Elsevier.

Varun Dutt & V. S. Chandrasekhar Pammi. (in progress). Application of Cognitive Approaches to Cyber Security. Special Issue in Frontiers in Psychology (under Cognitive Science section).

Journal Papers, Book Chapters, Peer-reviewed Conference Proceedings

V S Chandrasekhar Pammi, Sergio Ruiz, Sangkyun Lee, Charles Noussair, Ranganatha Sitaram. (2017). The effect of wealth shocks on loss aversion: behavior and neural correlates. Frontiers in Neuroscience (DOI: 10.3389/fnins.2017.00237).

Zahid Maqbool, V.S. Chandrasekhar Pammi, and Varun Dutt. (in press). Role of Motivations in Cyber-Security: Modeling Defender and Adversarial Decisions in Security Games using Instance-Based Learning Theory. Second International Conference on Internet of Things and Cloud Computing (ICC 2017), March 22-23, 2017, Cambridge, U.K.

Sumitava Mukherjee, Arvind Sahay, V. S. Chandrasekhar Pammi, Narayanan Srinivasan. (2017). Is Loss-aversion Magnitude-dependent? Measuring Prospective Affective Judgments regarding gains and losses. Judgment and Decision Making, 12(1), 81-89.

Zahid Maqbool, Nidhi Makhijani, V. S. Chandrasekhar Pammi, Varun Dutt (2016). Effects of motivation: rewarding hackers for undetected attacks cause analysts to perform poorly. Human Factors: The Journal of the Human Factors and Ergonomics Society (
DOI: 10.1177/0018720816681888).

Ganesh S. Birajdar, Balaraju Battu, Krishnavtar Jaiswal, V. S. Chandrasekhar Pammi. (2016). Modeling social dilemmas: A regret-driven neural network model. Studies in Microeconomics (DOI: 10.1177/2321022216647261).

Sudheer Kumar Pasala, Mehdi Khamassi & V. S. Chandrasekhar Pammi. (2016). Variation in Intuitive Geometric Construct of Spatial Perception During Navigation. Academy of Neuroscience of Architecture (ANFA) 2016: CONNECTIONS – BRIDGESYNAPSES, September 22-24, 2016, Salk Institute, La Jolla, California, USA, pp. 128-129. [This work was reviewed in Architect]

Dipanjan Roy & V. S. Chandrasekhar Pammi. (2016). Promises and pitfalls of relating alteration of white matter pathways causing improvement in Cognitive performance. Cognitive Neuroscience (DOI: 10.1080/17588928.2016.1205577).

Zahid Maqbool, V.S. Chandrasekhar Pammi, and Varun Dutt. (2016). Influence of motivational factors on hackers’ and analysts’ decisions in dynamic security games. Advances in Human Factors in Cybersecurity, Springer, pp.239-251 (DOI: 10.1007/978-3-319-41932-9_20) [Won AHFE 2016 Best Student Paper Award].

Zahid Maqbool, V.S. Chandrasekhar Pammi, and Varun Dutt. (2016). Cybersecurity: Effect of Information Availability in Dynamic Security Games. IEEE Proceedings of 2016 International Conference On Cyber Situational Awareness, Data Analytics And Assessment (CyberSA), pp 1-5. (DOI: 10.1109/CyberSA.2016.7503290).

Prateek Keserwani, V. S. Chandrasekhar Pammi, Om Prakash, Ashish Khare, Moongu Jeon (2016). Classification of Alzheimer Disease using Gabor Texture Feature of Hippocampus Region, International Journal of Image, Graphics and Signal Processing(IJIGSP), 8(6):13-20 (DOI: 10.5815/ijigsp.2016.06.02).

Debarati Bandyopadhyay, Narayanan Srinivasan, and V. S. Chandrasekhar Pammi. (2015). Differential effects of Irrelevant Emotional Context on Regret and Rejoice: A Behavioural Economic Investigation of Decision Making under Risk. Psychological Studies (DOI: 10.1007/s12646-015-0314-x).

Palvi Aggarwal, Antra Grover, Saumya Singh, Zahid Maqbool, V. S. Chandrasekhar Pammi, Varun Dutt. (2015). Cyber Security: A game-theoretic analysis of defender and attacker strategies in defacing-website games. IEEE Proceedings of the International Conference on Cyber Situational Awareness, Data Analytics and Assessment (CyberSA 2015), June 8-9, 2015, London, UK. (DOI: 10.1109/CyberSA.2015.7166127) [Won Best paper award].

V. S. Chandrasekhar Pammi, P.G. Rajesh, C. Kesavadas, P. R. Mary, S Seema, Ashalatha Radhakrishnan and Ranganatha Sitaram (2015) Neural Loss Aversion Differences between Depression Patients and Healthy Individuals: A Functional MRI Investigation. The Neuroradiology Journal, 97-105 (DOI: 10.1177/1971400915576670).

Debarati Bandyopadhyay, Narayanan Srinivasan, V. S. Chandrasekhar Pammi (2013). Dissociable Effects of Emotion on Decision Making Under Uncertainty, Neuroscience of Decision Making, 1-8 (DOI: 10.2478/ndm-2013-0001).

Debarati Bandyopadhyay, V. S. Chandrasekhar Pammi, Narayanan Srinivasan (2013). Role of affect in decision making, Progress in Brain Research, Volume 202, 37-53 (DOI:

Krishna P. Miyapuram, V. S. Chandrasekhar Pammi (2013). Understanding Decision Neuroscience - A multidisciplinary perspective and neural substrates. Progress in Brain Research, Volume 202, 239-266 (DOI:

Sudhir Kumar Pasala, V. S. Chandrasekhar Pammi. (2012). Cognitive Science Perspective of Human Performance in Built Environments, IEEE Proceedings of 4th International Conference Intelligent Human Computer Interaction (IHCI2012), December 27-29, 2012, pp. 352-358 (DOI: 10.1109/IHCI.2012.6481833)

V. S. Chandrasekhar Pammi & K. P. Miyapuram. (2012). Neuroeconomics of individual decision making at multiple levels: A review. In P. N. Tandon, R. C. Tripathi, N. Srinivasan (Eds.), Expanding Horizons of the Mind Science(s), Nova Science Publishers Inc., New York, pp. 159-186.

V. S. Chandrasekhar Pammi, K. P. Miyapuram, Ahmed, Kazuyuki Samejima, Raju S. Bapi, Kenji Doya. (2012). Changing the Structure of Complex Visuo-motor Sequences Selectively Activates the Fronto-Parietal Network. NeuroImage, 59, 1180-1189 (DOI: 10.1016/j.neuroimage.2011.08.006).

Krishna P. Miyapuram, Jay Prakash Singh, Raju S. Bapi, V. S. Chandrasekhar Pammi. (2011). Chunking Patterns depend on the Structural Organization of Complex Visuo-motor Sequences. International Journal of Mind, Brain and Cognition, 2, 39-63.

Andrew M. Brooks, V.S. Chandrasekhar Pammi, Charles Noussair, C. Monica Capra, Jan B. Engelmann, and Gregory S. Berns (2010). From Bad to Worse: Striatal Coding of the Relative Value of Painful Decisions. Frontiers in Neuroscience
, 4:176, 1-8 (Front. Neurosci. doi: 10.3389/fnins.2010.00176).

Ahmed, Raju S. Bapi, V. S. Chandrasekhar Pammi, K. P. Miyapuram, and Kenji Doya. (2010). Behavioural study of the effect of trial and error versus supervised learning of visuomotor skills. In: N. Srinivasan, B.R. Kar, & J. Pandey (Eds.), Advances in Cognitive Science: Volume 2, SAGE Publications.

Pammi V. S. Chandrasekhar, C. Monica Capra, Sara Moore, Charles Noussair, and Gregory S. Berns. (2008). Neurobiological regret and rejoice functions for aversive outcomes. Neuroimage, 39, 1472-1484. (epub: doi:10.1016/j.neuroimage.2007.10.027).

V. S. ChandrasekharPammi, K. P. Miyapuram, S. Bapi Raju, and Kenji Doya. (2008). Hierarchical organization of complex visuo-motor sequences. In: Srinivasan, N., Gupta, A. K., & Pandey, J. (eds.), Advances in Cognitive Science: Volume 1, SAGE Publications.

K. P. Miyapuram, Raju S. Bapi, Chandrasekhar V. S. Pammi, Ahmed, and Kenji Doya. (2006). Hierarchical Chunking during Learning of Visuomotor Sequences. Neural Networks, IEEE Proceedings of IJCNN 2006, pp. 249-253 (DOI: 10.1109/IJCNN.2006.246688).

Raju S. Bapi, V. S. Chandrasekhar Pammi, K. P. Miyapuram, and Ahmed. (2005). Investigation of sequence processing: A cognitive and computational neuroscience perspective. Current Science, 89(10), 1690–1698.

V. S. Chandrasekhar Pammi, Miyapuram, K. P., Bapi, R. S., and Kenji Doya. (2004). Chunking Phenomenon in Complex Sequential Skill Learning in Humans. Lecture notes in Computer Science, Springer-Verlag, 3316, pp. 294-299 (DOI: 10.1007/978-3-540-30499-9_44)

Raju S. Bapi, V. S. Chandrasekhar Pammi, and K. P. Miyapuram. (2003). Methods and Approaches for Characterizing Learning Related Changes observed in functional MRI Data - A Review. Proceedings of the International Conference on Theoretical Neurobiology, India, pp. 221-229.

Ahmed, S. Bapi Raju,Pammi V. S. Chandrasekhar, and M. Krishna Prasad. (2002). Application of Multilayer Perceptron Network for Tagging Parts-of-Speech. Proceedings of the Language Engineering Conference (LEC'02), IEEE Computer Society, pp. 57-63 (DOI: 10.1109/LEC.2002.1182291)