Srivatsun Sadagopan

  • Owoc, M.S., Lee, J., Johnson, A., Kandler, K., & Sadagopan, S. (2026). Multiparametric Classification of Pure-tone Responses Distinguishes Neurons in Inferior Colliculus Subdivisions. bioRxiv, 2026.03.27.714825.Cold Spring Harbor Laboratory. doi: 10.64898/2026.03.27.714825.
  • Parida, S., Liu, S.T., & Sadagopan, S. (2023). Adaptive mechanisms facilitate robust performance in noise and in reverberation in an auditory categorization model. Commun Biol, 6(1), 456.Springer Nature. 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. J Vis Exp, (191).MyJove. doi: 10.3791/64581.
  • Sadagopan, S., Kar, M., & Parida, S. (2023). Quantitative models of auditory cortical processing. Hear Res, 429, 108697.Elsevier. doi: 10.1016/j.heares.2023.108697.
  • Kar, M., Pernia, M., Williams, K., Parida, S., Schneider, N.A., McAndrew, M., Kumbam, I., & Sadagopan, S. (2022). Vocalization categorization behavior explained by a feature-based auditory categorization model. Elife, 11.eLife. doi: 10.7554/eLife.78278.
  • Kar, M., Pernia, M., Williams, K., Parida, S., Schneider, N.A., McAndrew, M., Kumbam, I., & Sadagopan, S. (2022). Vocalization categorization behavior explained by a feature-based auditory categorization model. In bioRxiv. doi: 10.1101/2022.03.09.483596.
  • 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. Hear Res, 424, 108603.Elsevier. doi: 10.1016/j.heares.2022.108603.
  • Owoc, M.S., Rubio, M.E., Brockway, B., Sadagopan, S., & Kandler, K. (2022). Embryonic medial ganglionic eminence cells survive and integrate into the inferior colliculus of adult mice. Hear Res, 420, 108520.Elsevier. doi: 10.1016/j.heares.2022.108520.
  • Parida, S., Liu, S.T., & Sadagopan, S. (2022). Adaptive mechanisms facilitate robust performance in noise and in reverberation in an auditory categorization model. In bioRxiv. doi: 10.1101/2022.09.25.509412.
  • Teichert, T., Gnanateja, G.N., Sadagopan, S., & Chandrasekaran, B. (2022). A Linear Superposition Model of Envelope and Frequency Following Responses May Help Identify Generators Based on Latency. Neurobiol Lang (Camb), 3(3), 441-468.MIT Press. doi: 10.1162/nol_a_00072.
  • Gnanateja, G.N., Rupp, K., Llanos, F., Remick, M., Pernia, M., Sadagopan, S., Teichert, T., Abel, T.J., & Chandrasekaran, B. (2021). Frequency-Following Responses to Speech Sounds Are Highly Conserved across Species and Contain Cortical Contributions. eNeuro, 8(6).Society for Neuroscience. doi: 10.1523/ENEURO.0451-21.2021.
  • Montes-Lourido, P., Kar, M., David, S.V., & Sadagopan, S. (2021). Neuronal selectivity to complex vocalization features emerges in the superficial layers of primary auditory cortex. In Malmierca, M.S. (Ed.). PLoS Biol, 19(6), e3001299.Public Library of Science (PLoS). doi: 10.1371/journal.pbio.3001299.
  • 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. Sci Rep, 11(1), 3108.Springer Nature. doi: 10.1038/s41598-021-82340-y.
  • Bruk, L.A., Dunkelberger, K.E., Khampang, P., Hong, W., Sadagopan, S., Alper, C.M., & Fedorchak, M.V. (2020). Controlled release of ciprofloxacin and ceftriaxone from a single ototopical administration of antibiotic-loaded polymer microspheres and thermoresponsive gel. In Monsanto, R.D.C. (Ed.). PLoS One, 15(10), e0240535.Public Library of Science (PLoS). doi: 10.1371/journal.pone.0240535.
  • Liu, S.T., Montes-Lourido, P., Wang, X., & Sadagopan, S. (2019). Optimal features for auditory categorization. Nat Commun, 10(1), 1302.Springer Nature. doi: 10.1038/s41467-019-09115-y.
  • Sadagopan, S., Zarco, W., & Freiwald, W.A. (2017). A causal relationship between face-patch activity and face-detection behavior. Elife, 6.eLife. doi: 10.7554/eLife.18558.
  • Sadagopan, S., Temiz-Karayol, N.Z., & Voss, H.U. (2015). High-field functional magnetic resonance imaging of vocalization processing in marmosets. Sci Rep, 5(1), 10950.Springer Nature. doi: 10.1038/srep10950.
  • Sadagopan, S., & Ferster, D. (2012). Feedforward origins of response variability underlying contrast invariant orientation tuning in cat visual cortex. Neuron, 74(5), 911-923.Elsevier. doi: 10.1016/j.neuron.2012.05.007.
  • Bartlett, E.L., Sadagopan, S., & Wang, X. (2011). Fine frequency tuning in monkey auditory cortex and thalamus. J Neurophysiol, 106(2), 849-859.American Physiological Society. doi: 10.1152/jn.00559.2010.
  • Sadagopan, S., & Wang, X. (2010). Contribution of inhibition to stimulus selectivity in primary auditory cortex of awake primates. J Neurosci, 30(21), 7314-7325.Society for Neuroscience. doi: 10.1523/JNEUROSCI.5072-09.2010.
  • Sadagopan, S., & Wang, X. (2009). Nonlinear spectrotemporal interactions underlying selectivity for complex sounds in auditory cortex. J Neurosci, 29(36), 11192-11202.Society for Neuroscience. doi: 10.1523/JNEUROSCI.1286-09.2009.
  • Sadagopan, S., & Wang, X. (2008). Level invariant representation of sounds by populations of neurons in primary auditory cortex. J Neurosci, 28(13), 3415-3426.Society for Neuroscience. doi: 10.1523/JNEUROSCI.2743-07.2008.