Singhal, I., Srinivasan, N. (accepted) Just One Moment: Unifying theories of consciousness based on a phenomenological now and a temporal hierarchy Psychology of Consciousness An open version linked here
Singhal, I., Srinivasan, N. (2023) Temporal correspondence in perceptual organization: Reciprocal interactions between temporal sensitivity and figure-ground segregation.Psychonomic Bulletin & Review Link
Singhal, I.*, Mudumba, R.*, & Srinivasan, N. (2022) In search of lost time: Integrated information theory needs constraints from temporal phenomenology.Philosophy & Mind Sciences (*Equal Contribution) Link
Singhal, I., Srinivasan, N. (2022) A wrinkle in and of time. Contraction of felt duration with a single perceptual switch. Cognition Link
Singhal, I., Srinivasan, N. (2022) Is perceptual learning always better at the task relevant location? It depends on the distractors. Attention, Perception & Psychophysics 84, 992-1003 Link
Singhal, I., Srinivasan, N. (2021) Time and Time Again: A multi-scale hierarchical framework for time-consciousness and timing of cognition. Neuroscience of Consciousness Link . James Prize Winner
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.
Singhal, I. (2021) No sense in saying "there is no sense organ for time". Timing and Time Perception., 1-12. doi: https://doi.org/10.1163/22134468-bja10026 Link
Srinivasan, N., Tripathi, S., & Singhal, I. (2020). Meditators exercise better endogenous and exogenous control of visual awareness. Mindfulness, 11, 2705-2714. Link
A continuous flash suppression based study to test evidence for multi-timescale temporal consciousness
A critique of clocks models of time perception
A largescale projet on the phenomenology of imagery
An article showing how temporal phenomenology can inform neuroscience
An empirical study and model to test whether humans represent probability distributions
Preprint: Singhal, I., Soni, A. K., & Srinivasan, N. (2020). Default (y) Mode Network: Important regions of DMN do not survive alterations in flip angles. bioRxiv.