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Gupta, P and Sridharan, D (2024) Presaccadic attention does not facilitate the detection of changes in the visual field. In: PLoS Biology, 22 (1).
Sengupta, A and Banerjee, S and Ganesh, S and Grover, S and Sridharan, D (2024) The right posterior parietal cortex mediates spatial reorienting of attentional choice bias. In: Nature Communications, 15 (1).
Chinchani, AM and Paliwal, S and Ganesh, S and Chandrasekhar, V and Yu, BM and Sridharan, D (2022) Tracking momentary fluctuations in human attention with a cognitive brain-machine interface. In: Communications Biology, 5 (1).
Sawant, Y and Kundu, JN and Radhakrishnan, VB and Sridharan, D (2022) A Midbrain Inspired Recurrent Neural Network Model for Robust Change Detection. In: Journal of Neuroscience, 42 (44). pp. 8262-8283.
Sreenivasan, V and Kumar, S and Pestilli, F and Talukdar, P and Sridharan, D (2022) GPU-accelerated connectome discovery at scale. In: Nature Computational Science, 2 (5). pp. 298-306.
Bhagavatham, SKS and Khanchandani, P and Kannan, V and Potikuri, D and Sridharan, D and Pulukool, SK and Naik, AA and Dandamudi, RB and Divi, SM and Pargaonkar, A and Ray, R and Santha, SSR and Seshagiri, PB and Narasimhan, K and Gumdal, N and Sivaramakrishnan, V (2021) Adenosine deaminase modulates metabolic remodeling and orchestrates joint destruction in rheumatoid arthritis. In: Scientific Reports, 11 (1).
Jagatap, A and Purokayastha, S and Jain, H and Sridharan, D (2021) Neurally-constrained modeling of human gaze strategies in a change blindness task. In: PLoS Computational Biology, 17 (8).
Naik, AA and Narayanan, A and Khanchandani, P and Sridharan, D and Sukumar, P and Srimadh Bhagavatam, SK and Seshagiri, PB and Sivaramakrishnan, V (2020) Systems analysis of avascular necrosis of femoral head using integrative data analysis and literature mining delineates pathways associated with disease. In: Scientific Reports, 10 (1).
Ajmera, S and Jain, H and Sundaresan, M and Sridharan, D (2020) Decoding task-specific cognitive states with slow, directed functional networks in the human brain. In: eNeuro, 7 (4). pp. 1-23.
Sreenivasan, V and Sridharan, D (2020) Reply to Friedrich et al.: Both genetic and environmental factors may contribute to laterality in mesencephalic connectivity and bias. In: Proceedings of the National Academy of Sciences of the United States of America, 117 (5). pp. 2253-2254.
Kumar, S and Sreenivasan, V and Talukdar, P and Pestilli, F and Sridharan, D (2019) ReAl-life: Accelerating the discovery of individualized brain connectomes on GPUs. In: 33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Annual Conference on Innovative Applications of Artificial Intelligence, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019, 27 January 2019through 1 February 2019, Honolulu, pp. 630-638.
Ajmera, S and Rajagopal, S and Ur Rehman, R and Sridharan, D (2019) Infra-slow brain dynamics as a marker for cognitive function and decline. In: 33rd Annual Conference on Neural Information Processing Systems, NeurIPS 2019, 8-14 December 2019, Vancouver; Canada.
Sundaresan, M and Nabeel, A and Sridharan, D (2017) Mapping distinct timescales of functional interactions among brain networks. In: 31st Annual Conference on Neural Information Processing Systems, NIPS 2017, 4 - 9 December 2017, Long Beach, pp. 4110-4119.
Sridharan, D and Seshagiri, P B (2017) Successful enrichment of cardiac progenitors following differentiation of EGFP-expressing transgenic mouse ES cells. In: ASCB/EMBO Meeting, DEC 02-06, 2017, Philadelphia, PA.
