Anjali Sifar and Nisheeth Srivastava. Over-precise predictions cannot identify good choice models, Computational Brain and Behavior.
Ankoju Bhanu Prakash and Nisheeth Srivastava. Sampling-based probability construction explains individual differences in risk preference. Proceedings of CogSci 2022.
Samarth Mehrotra and Nisheeth Srivastava. Selecting between visuomotor lotteries to measure mental effort in risky decisions. Proceedings of CogSci 2022.
Singhal, I., Mudumba, R., & Srinivasan, N. (2022). In search of lost time: Integrated information theory needs constraints from temporal phenomenology. Philosophy and the Mind Sciences.
Mishra, S., Srinivasan, N., & Tiwary, U.S. (2022). Cardiac-brain dynamics depend on context familiarity and their interaction predicts experience of emotional arousal. Brain Sciences, 12, 702.
Th'omas, S., & Srinivasan, N. (2022). Integration across levels of information processing: A case study with visual category learning. In R. C. Tripathi, B. R. Kar, & N. Pande (Eds.) Towards an Integrative Psychological Science (pp. 63-79), Springer: New Delhi.
Verma, A., & Kumar, D. (2022). Six Blind Men and the Proverbial Elephant: Integrating Multiple Methods in Psychology. In R. C. Tripathi, B. R. Kar, & N. Pande (Eds.) Towards an Integrative Psychological Science (pp. 19-43), Springer: New Delhi.
Divita Singh, Harish Karnick (2022). Self-Prioritization Effect in Children and Adults, Frontiers in Psychology.
Singhal, I., & Srinivasan, N. (2022). A wrinkle in and of time: Contraction of felt duration with a single perceptual switch. Cognition, 225, 105151.
Thomas, S., & Srinivasan, N. (2022). Accurate knowledge about feature diagnosticities leads to less preference for unidimensional strategy. Journal of Experimental Psychology: Learning, Memory, and Cognition.
Van Leewen, F., ..., Srinivasan, N., ..., & Tybur, J. (2022). Disgust sensitivity relates to attitudes toward gay men and lesbian women across 31 nations. Group Processes and Intergroup Relations.
Singhal, I., & Srinivasan, N. (2022). Is learning at task-relevant locations always better than task-irrelevant locations? It depends on the distractors. Attention, Perception, & Psychophysics, 84, 992–1003.
Pradhan, R., & Kumar, D. (2021) Event segmentation and event boundary advantage: Role of attention and postencoding processing. Journal of Experimental Psychology: General. DOI: 10.1037/xge0001155
Kumar, D., & Srinivasan, N. (2021). Anticipatory consciousness: Multiscale control and volition. Mind & Matter. 19(2), 189-208.
Thiruvasagam, S., & Srinivasan, N. (2021). Gradedness of visual awareness depends on attentional scope: Global perception is more graded than local perception.Consciousness & Cognition, 94, 103174
Singhal, I., & Srinivasan, N. (2021). Time and Time Again: A multi-scale hierarchical framework for time-consciousness and timing of cognition.Neuroscience of Consciousness, 2021(2):niab020.
Basu, A., & Srinivasan, N. (2021). A modified contingent valuation method shrinks gain-loss asymmetry. Journal of Behavioral and Experimental Economics, 94, 101747.
Jubile, A. & Kumar, D. (2021). Early capture of attention by self-face: Investigation using a TOJ task. i-perception.
Verma, Sikarwar, Yadav, Ranjith and Kumar (2021) Shabd: A Psycholinguistic Database for Hindi. Behavior Research Methods
Verma, Jain and Srinivasan (2021) Yes! I love my mother as much as myself!!! Self and Mother-Association Effects in an Indian Sample Quarterly Journal of Experimental Psychology
Vivek Gupta, Prerna Bharti, Pegah Nokhiz and Harish Karnick (2021). SumPubMed: Summarization Dataset of PubMed Scientific Articles. ACL-IJCNLP.
Sarma, D., & Srinivasan, N. (2021). Intended emotions influence intentional binding with emotional faces: Larger binding for intended negative emotions. Consciousness and Cognition, 92, 103136.
Singhal, I., Srinivasan, N., & Srivastava, N. (2021). One and known: Incidental probability judgments from very few samples. Proceedings of the 43rd Annual Conference of the Cognitive Science Society, Cognitive Science Society.
Jagga, S., Srinivasan, N., & Srivastava, N. (2021). Modeling procrastination as rational metareasoning about task effort. Proceedings of the 43rd Annual Conference of the Cognitive Science Society, Cognitive Science Society.
Thomas, S., Kapoor, A., & Srinivasan, N. (2021). Supervised category learning: When do participants use a partially diagnostic feature? Proceedings of the 43rd Annual Conference of the Cognitive Science Society, Cognitive Science Society.
Mukherjee, S., & Srinivasan, N. (2021). Hedonic impacts of gains vs losses with time: Are we loss averse?Cognition & Emotion, 35(5), 1049-1055.
Ben-Soussan, T. D., Srinivasan, N., Glicksohn, J., Beziau, J-Y, Carducci, F., & Berkovich-Ohana, A. (2021). Editorial: Neurophysiology of Silence: Neuroscientific, Psychological, Educational and Contemplative Perspectives. Frontiers in Psychology, 12:1124.
Tewari, S., Makwana, M., & Srinivasan, N. (2020). Group congruent labelling leads to subjective expansion of time. Royal Society Open Science, 7:201063.
Melcher, D., Kumar, D., & Srinivasan, N. (2020). The role of action intentionality and effector in the subjective expansion of temporal duration after saccadic eye movements. Scientific Reports, 10:16922.
Srinivasan, N., Tripathi, S., & Singhal, I. (2020). Meditators exercise better endogenous and exogenous control of visual awareness. Mindfulness, 11, 2705-2714.
Srinivasan, N. (2020). Consciousness without content: A look at evidence and prospects. Frontiers in Psychology, 11:1992.
Chiarella, S. G., Makwana, M., Simione, L., Hartkamp, M., Calabrese, L., Raffone, A., & Srinivasan, N. (2020). Mindfulness meditation weakens attachment to self: Evidence from a self vs other binding task. Mindfulness, 11, 2411-2422.
A Srivastava, N Srivastava, S Chandrasekaran Biochemistry and Molecular Biology Education, Building strategies affect concept map quality, 2020 in press.
Aarush Mittal, Diksha Gupta, Amrita Singh, Andrew Lin, Nitin Gupta Multiple network properties overcome random connectivity to enable stereotypic sensory responses. Nature Communications, 2019, Vol. 11 page 1023.
Tal Dalal, Nitin Gupta, Rafi Haddad Bilateral and unilateral odor processing and odor perception. Communications Biology, 2020 Vol. 3 page 150.
P. Singh, P. Agrawal, A. Nandanwar, L. Behera, Nishchal K. Verma, S. Nahavandi, and M. Jamshidi Multivariable Event-Triggered Generalised Super-Twisting Controller for Safe Navigation of Non-Holonomic Mobile Robot. IEEE Systems Journal, 2020.
N. K. Dhar, Nishchal K. Verma, and L. Behera An Online Event-Triggered Near Optimal Controller for Nash Solution in Interconnected System. IEEE Transactions on Neural Networks and Learning Systems, 2020.
Pawan Kumar, Dhanajit Kumar,, Harish Karnick, Piyush Rai Deep Attentive Ranking Networks for Learning to Order Sentences., AAAI New York, 2020.
Rithwik Cherian, Harish Karnick Color Categorization and Naming in Normal, Deficient, and Mixed Populations Using Agent Based Modelling, Poster, CogSci 2020, Toronto.
Neelabja Roy, Ark Verma, Harish Karnick Evidence of Self – Referential Prioritization on the basis of Visual Features: Attributing Salience to Rule - Learning, Poster CogSci 2020, Toronto.
Nishchal K. Verma, A. Salour Intelligent Condition Based Monitoring: For Turbines, Compressors, and other Rotating Machines. Studies in Systems, Decision and Control, Springer, 2020, ISBN 978-981-15-0512-6.
Umair Ahmed, Renuka Sindhgatta, N Srivastava, Amey Karkare Characterizing the Pedagogical Benefits of Adaptive Feedback for Compilation Errors by Novice Programmers. Proceedings of the International Conference on Software Engineering, 2020, Seoul, S Korea.
A Sifar, N Srivastava Limits on Predictability of Risky Choice Behavior. Proceedings of the 42nd Annual Meeting of the Cognitive Science Society, 2020, Toronto, Canada.
H Balakrishnan, S Jagga, N Srivastava Inducing Preference Reversals by Manipulating Revealed Preferences. Proceedings of the 42nd Annual Meeting of the Cognitive Science Society, 2020, Toronto, Canada.
Devpriya Kumar, A Malik Dynamics of spatio-temporal scope of attention: Temporal Correlations in reaction time data. Proceedings of the 42nd Annual Meeting of the Cognitive Science Society, 2020, Toronto, Canada.
A Jublie, Devpriya Kumar Self-reference effect for faces is mediated by attention Proceedings of the 42nd Annual Meeting of the Cognitive Science Society, 2020, Toronto, Canada.
R Pradhan, Devpriya Kumar Encoding or Post Encoding Mechanisms Invoke Enhanced Memory for Event Boundaries? Proceedings of the 42nd Annual Meeting of the Cognitive Science Society, 2020, Toronto, Canada.
A Jublie, Devpriya Kumar Attentional Capture of Self-face: Perceptual enhancement or Top-down bias. International Congress of Psychology, 2020, Prague, Czech Republic.
Aditi Jublie, & Devpriya Kumar, 2019, Prior entry of self-faces: Dissociating effect of familiarity and self-reference, ECVP 2019 Leuven, Belgium.
Singh SS, Mittal AM, Chepurwar S, Gupta N (2019). Olfactory Systems in Insects: Similarities and Differences Between Species. Olfactory Concepts of Insect Control - Alternative to insecticides (editor: J.F.Picimbon), pages 29-48, Springer.
Homanga Bharadwaj and Nisheeth Srivastava. New tab page recommendations strongly concentrate web browsing to familiar sources. Proceedings of ACM WebSci 2019.
Arjun Mitra, Narayanan Srinivasan and Nisheeth Srivastava, Planning failures induced by budgetary overruns cause intertemporal impulsivity. CogSci 2019.
Nisheeth Srivastava. Decision-makers minimize regret when calculating regret is easy. Proceedings of CogSci 2019.
Nisheeth Srivastava. Evidence for eﬀort prediction in perceptual decisions. Proceedings of CogSci 2019.
Aditya Narayan Chandrasekaran, Narayanan Srinivasan and Nisheeth Srivastava. Memory of relative magnitude judgments informs absolute identiﬁcation. Proceedings of ICCM 2019.
Devpriya Kumar, Narayanan Srinivasan, & Akanksha Malik, Temporal Structure in Reaction Time Data is sensitive to exercised control, CogSci 2019, Montreal Canada.
Madhu Mangal Chaturvedi, A.V Ravishankar Sarma Higher–Order Thought and the Problem of Shifting Subjectivity. Obnovljei ˇzivot, 2019, Vol. 74(2) pages 161-179.
Shashank Chepurwar, Abhishek Gupta, Nitin Gupta Sequence-based prediction of olfactory receptor responses. Chemical Senses, 2019, Vol. 44 pages 693-703.
P. K. Mishra, N. K. Dhar, and Nishchal K. Verma Adaptive Neural Network Control of MIMO Nonaffine Nonlinear Systems with Asymmetric Time-Varying State Constraints. IEEE Transactions on Cybernetics, 2019.
R. Dev and Nishchal K. Verma Robust Noisiness Measure Based Improved Generalized Fuzzy Peer Group for Removal of Mixed Noise from Color Image. IEEE Signals Processing Letters, 2019, Vol. 26 pages 267 – 271.
Nishchal K. Verma, A. K. Ghosh Computational Intelligence: Theories, Applications and Future Directions-Volume I (ICCI-2017). Advances in Intelligent Systems and Computing, Springer, 2019, ISBN 978-981-13-1132-1.
V. K. Giri, Nishchal K. Verma, R. K. Patel, and V. P. Singh Computing Algorithms with Applications in Engineering, Proceedings of ICCAEEE 2019. Algorithms for Intelligent Systems, Springer, 2020, ISBN ISBN 978-981-15-2369-4.
Meet Sheth, Nisheeth Srivastava Intelligent Human Computer Interaction. Springer (Editor: Tiwary, Chaudhury) , 2019, pages 151-162 ISBN 978-3-030-44689-5.
Umair Ahmed, Renuka Sindhgatta, Nisheeth Srivastava, Amey Karkare Targeted Exam- ple Generation for Compilation Errors. Proceedings of ACM Conference on Automated Software Engineering (ASE), 2019, San Diego, USA.
T. Sharma, A. Jain, Nishchal K. Verma, and S. Vasikarla Inventory management using KAZE features under different lighting conditions. 48th IEEE Applied Imagery Pattern Recognition Workshop 2019 (AIPR 2019), Washington, D.C., USA.
A. Kumar, T. Sharma, Nishchal K. Verma, and S. Vasikarla Detection and removal of salt and pepper noise by Gaussian membership function and Guided filter. 48th IEEE Applied Imagery Pattern Recognition Workshop 2019 (AIPR 2019), Washington, D.C., USA.
T. Sharma, Nishchal K. Verma and S. Sudhakaran Fuzzy based Pooling in Convolutional Neural Network for Image Classification. International Conference on Fuzzy Systems (FUZZ-IEEE 2019), JW Marriot New Orleans.
Rujuta Rujuta Pimprikar and Nisheeth Srivastava. Probing mental representations that determine context-sensitive monetary reasoning. ACCS 2018 . and Nisheeth Srivastava. Probing mental representations that determine context-sensitive monetary reasoning. ACCS 2018 .
Jeenath Rahaman, Harshit Agarwal, Nisheeth Srivastava and Sanjay Chandrasekharan. Mutable concepts and enactable analogies: how manipulatives help in learning area. Cognitive Science, 2018.
Vasundhara Rakesh and Nisheeth Srivastava. Modelling metareasoning about decision thresholds in a perceptual learning task. Proceedings of ICCM 2018.
Nisheeth Srivastava. Measuring conceptual incongruity from text-based annotations. Proceedings of IHCI 2018.
Devpriya Kumar , Event Perception, 10th International workshop on Intelligent Human Computer Interaction, 2018, IIIT Allahabad.
Devpriya Kumar, Vidushi Jaya, & Divyat Mahajan. Understanding Perception-action as a complex dynamic system: An empirical investigation, ACCS 2018, IIT Guwahati, India.
Mittal AM, Singh SS, Gupta N (2018). Sensory coding: neurons that wire together fire longer. Current Biology. 28:R608-R610.
Piyush Sihag, Harish Karnick, Predicting noun labels from fMRI images induced by visual stimuli, ACCS Oct. 10-12, 2018, IIT Guwahati.