.
2017. Visual motion computation in recurrent neural networks.. bioRxiv. :099101.
.
2016. Inhibitory control of correlated intrinsic variability in cortical networks. Elife. 5:e19695.
.
2015. Learning enhances sensory and multiple non-sensory representations in primary visual cortex.. Neuron. 86(6):1478-90.
.
2015. State-dependent population coding in primary auditory cortex.. The Journal of Neuroscience : the official journal of the Society for Neuroscience. 35(5):2058-73.
.
2013. Extracting regions of interest from biological images with convolutional sparse block coding.. Neural Information Processing Systems (NIPS 2013).
.
2013. Recurrent linear models of simultaneously-recorded neural populations.. Neural Information Processing Systems (NIPS 2013).
.
2013. Regularization and nonlinearities for neural language models: when are they needed? arXiv. :arXiv:1301.5650.
.
2012. Learning visual motion in recurrent neural networks.. Neural Information Processing Systems (NIPS 2012).
.
2011. Observers exploit stochastic models of sensory change to help judge the passage of time.. Current Biology. 21(3):200-6.
.
2008. Inferring input nonlinearities in neural encoding models.. Network. 19(1):35-67.
.
2008. Nonlinearities and contextual influences in auditory cortical responses modeled with multilinear spectrotemporal methods.. The Journal of Neuroscience. 28(8):1929-42.

]