I am a cognitive scientist and artist working on art psychology, cognition, emotion, and multi-modal communication. My research is at the confluence of the arts and sciences and I am a practitioner of fine arts. At SMI, I am continuing the research work that I started as a DST-CSRI research fellow at the Indian Institute of Technology Gandhinagar at the Centre for Cognitive Science (2014-2016), and subsequently as a Newton International Fellow at University College London, UK (2017-2021). This work deals with the psychological basis of cross-cultural emotion transfer using complex naturalistic stimuli, especially films. I proposed the ‘culture-appraisal-interaction model’ of emotion reactivity which combines the social appraisal theories of emotions and cultural models of self. A psychological testing tool on the same is being developed in my lab using an extensive database that I prepared (the CEE-through-Film database).
One of my focus areas is concerned with how the classification of emotional states in the Rasa theory of ancient Indian aesthetics can contribute to current cognitive neuroscience. My commentary on the neuropsychology of ‘aesthetic paradox’ where I proposed the ‘dual-phase-oscillation hypothesis’ (Mukhopadhyay, 2014, at Review of General Psychology) has been highlighted in literary theory and emotion research by authorities in the field like G. Gabrielle Starr, Louise Sundararajan, Zachary Simpson, and Maria Korusiewicz.
My research tools are Indian texts on philosophy of science, religion, and aesthetics (c. 1500 bc – c.1000 AD), experimental psychology, eye-tracking, electroencephalography (EEG), functional magnetic resonance imaging (fMRI), digital art, painting, photography, and cinema.
I synthesise key concepts of the Indian aesthetic philosophy of detached passion in my art (primarily photography, digital art, experimental films, and poetry). Dream, desire, longing, separation, love, lust, death, illusion, obsession, delusion, faith, fate, and liberation — their inherent contradictions and commonalities — are the primary motifs in my artworks and the writings corresponding to my art.
Since my research programme is transdisciplinary, I look forward to collaborating with researchers from diverse disciplines. Interested faculties and students may contact at email@example.com
Personal Website: dyutimanmukhopadhyay.com
- [Dataset] Mukhopadhyay, D; Miyapuram, K.P.; Pandey, P.; Tripathi, R. (2022). Movie Watching—Nine Emotions EEG Dataset, DOI 10.17605/OSF.IO/85N9U, https://osf.io/85n9u/
- [Media Coverage, Times of India, Oct 5, 2022] Brainwaves to box office: IIT-Gandhinagar gets ticket to viewers' minds (Link).
- Sonawane D., Pandey P., Mukopadhyay D., Miyapuram K.P. (2021). Movie Identification from Electroencephalography Response Using Convolutional Neural Network. In: Mahmud M., Kaiser M.S., Vassanelli S., Dai Q., Zhong N. (eds) Brain Informatics. BI 2021. Lecture Notes in Computer Science, vol 12960. Springer, Cham. https://doi.org/10.1007/978-3-030-86993-9_25
- Mukhopadhyay, D. (2021). Rethinking the psychology of film melodrama: A theoretical framework integrating social appraisal and cultural psychology. PsychArchives. https://doi.org/10.23668/psycharchives.5282 [Full paper link]
- Mukhopadhyay, D. (2021) Dancing with Nine Colours: The Nine emotional states of Indian Rasa theory. PhilPapers, https://philarchive.org/rec/MUKDWN [Full paper link]
- Mukhopadhyay, D. (2021). Science and the Elephant. PhilPapers.https://philarchive.org/rec/MUKSAT [Full paper link]
- Tripathi R., Mukhopadhyay D., Singh C.K., Miyapuram K.P., Jolad S. (2020). Characterization of Functional Brain Networks and Emotional Centers Using the Complex Networks Techniques, Complex Networks 2019, SCI 882, pp. 854–867, 2020, in H. Cherifi et al. (Eds.): Complex Networks and Their Applications VIII. © Springer Nature Switzerland AG, https://doi.org/10.1007/978-3-030-36683-4_68
- Nath, S. S., Mukhopadhyay, D., &Miyapuram, K. P. (2019). Emotive Stimuli-triggered Participant-based Clustering Using a Novel Split-and-Merge Algorithm. Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, 277-280. ISBN: 978-1-4503-6341-9. The Association for Computing Machinery. https://dl.acm.org/doi/10.1145/3297001.3297040
- Mukhopadhyay, D. (2014). Understanding the neuropsychology of aesthetic paradox: the dual-phase oscillation hypothesis. Review of General Psychology (USA), 18(3), 237-248. ISSN: 1089- 2680. https://doi.org/10.1037%2Fgpr0000009(Full paper link).
- Mukhopadhyay, D. (2015). The dual-phase oscillation hypothesis and the neuropsychology of docu-fiction film. Consciousness, Literature and the Arts (UK), 16 (1). ISSN: 1470-5648. [Online: http://www.dmd27.org/mukhopadhyay.pdf]
- Mukhopadhyay, D. (2014). The neuro-philosophy of archetype in visual aesthetics: from Plato to Zeki and beyond. PsyArt (USA), 18, pp. 340–369. ISSN: 2123-4434. [Online: https://psyart.org/article/the-neuro-philosophy-of-archetype-in-visual-aesthetics-from-plato-to-zeki-and-beyond/ ].
Mukhopadhyay, Dyutiman Dr, "Aesthetics, Cognition, Emotion, and Multi-Modal Communication." (2022). Interdisciplinary Collection. 23.