headshot of Srivatsun Sadagopan

Srivatsun Sadagopan

Associate Professor
Bioengineering Department


Parida, S., Liu, S.T., & Sadagopan, S. (2023). Adaptive mechanisms facilitate robust performance in noise and in reverberation in an auditory categorization model. COMMUNICATIONS BIOLOGY, 6(1), 456.Springer Science and Business Media LLC. doi: 10.1038/s42003-023-04816-z.

Pernia, M., Kar, M., Montes-Lourido, P., & Sadagopan, S. (2023). Pupillometry to Assess Auditory Sensation in Guinea Pigs. JOVE-JOURNAL OF VISUALIZED EXPERIMENTS, (191).MyJove Corporation. doi: 10.3791/64581.

Sadagopan, S., Kar, M., & Parida, S. (2023). Quantitative models of auditory cortical processing. HEARING RESEARCH, 429, 108697.Elsevier BV. doi: 10.1016/j.heares.2023.108697.

Montes-Lourido, P., Kar, M., Pernia, M., Parida, S., & Sadagopan, S. (2022). Updates to the guinea pig animal model for in-vivo auditory neuroscience in the low-frequency hearing range. HEARING RESEARCH, 424, 108603.Elsevier BV. doi: 10.1016/j.heares.2022.108603.

Montes-Lourido, P., Kar, M., Kumbam, I., & Sadagopan, S. (2021). Pupillometry as a reliable metric of auditory detection and discrimination across diverse stimulus paradigms in animal models. SCIENTIFIC REPORTS, 11(1), 3108.Springer Science and Business Media LLC. doi: 10.1038/s41598-021-82340-y.

Liu, S.T., Montes-Lourido, P., Wang, X., & Sadagopan, S. (2019). Optimal features for auditory categorization. NATURE COMMUNICATIONS, 10(1), 1302.Springer Science and Business Media LLC. doi: 10.1038/s41467-019-09115-y.