C-H Vila*, R S. Williamson*, K E. Hancock, D B. Polley (2019). Optimizing optogenetic stimulation protocols in auditory corticofugal neurons based on closed-loop spike feedback. Journal of Neural Engineering. In press.

S Romero, A E. Hight, K K. Clayton, J Resnik, R S. Williamson, K E. Hancock, D B. Polley (2019). Cellular and widefield imaging of sound frequency organization in primary and higher-order fields of the mouse auditory cortex. Cerebral Cortex. In press.

R S. Williamson, D B. Polley (2019). Parallel pathways for sound processing and functional connectivity among layer 5 and 6 auditory corticofugal neurons. eLife. 8: e42974.


M M. Asokan, R S. Williamson, K E. Hancock, D B. Polley (2018). Sensory overamplification in layer 5 auditory corticofugal projection neurons following cochlear nerve synaptic damage. Nature Communications. 9(1), 2468


A F. Meyer, R S. Williamson, J F. Linden, M Sahani (2016). Models of neuronal stimulus-response functions: elaboration, estimation, and evaluation. Frontiers in Systems Neuroscience. 10(1): 109.

R S. Williamson, M B. Ahrens, J F. Linden, M Sahani (2016). Input-specific gain modulation by local sensory context shapes cortical and thalamic responses to complex sounds. Neuron. 91(2): 467-81.


R S. Williamson, K E. Hancock, B G. Shinn-Cunningham, D B. Polley (2015). Locomotion and task demands differentially modulate thalamic audiovisual processing during active search. Current Biology. 25, 1885-1891.

R S. Williamson, M. Sahani, J W. Pillow (2015). The equivalence of information-theoretic and likelihood-based methods for neural dimensionality reduction. PLoS Computational Biology. 11(4): e1004141


M. Sahani, R S. Williamson, M B. Ahrens, J F. Linden (2013). Probabilistic methods for linear and multilinear models. In Handbook of Modern Techniques in Auditory Cortex, eds. D. Depirieux & M. Elhilali.