Learning visual motion in recurrent neural networks. - Marius Pachitariu; Maneesh Sahani (NIPS, 2012)

Extracting regions of interest from biological images with convolutional sparse block coding. - Marius Pachitariu; Adam M. Packer; Noah Pettit; Henry Dalgleish; Michael Häusser; Maneesh Sahani (NIPS, 2013)

Recurrent linear models of simultaneously-recorded neural populations. - Marius Pachitariu; Biljana Petreska; Maneesh Sahani (NIPS, 2013)

Regularization and nonlinearities for neural language models: when are they needed? - Marius Pachitariu; Maneesh Sahani (CoRR, 2013)

Fast and accurate spike sorting of high-channel count probes with KiloSort. - Marius Pachitariu; Nicholas A. Steinmetz; Shabnam N. Kadir; Matteo Carandini; Kenneth D. Harris (NIPS, 2016)

Community-based benchmarking improves spike rate inference from two-photon calcium imaging data. - Philipp Berens; Jeremy Freeman; Thomas Deneux; Nicolay Chenkov; Thomas McColgan; Artur Speiser; Jakob H. Macke; Srinivas C. Turaga; Patrick J. Mineault; Peter Rupprecht; Stephan Gerhard; Rainer W. Friedrich; et al. (PLoS Comput. Biol., 2018)

High-dimensional geometry of population responses in visual cortex. - Carsen Stringer; Marius Pachitariu; Nicholas A. Steinmetz; Matteo Carandini; Kenneth D. Harris (Nat., 2019)

Structured random receptive fields enable informative sensory encodings. - Biraj Pandey; Marius Pachitariu; Bingni W. Brunton; Kameron Decker Harris (PLoS Comput. Biol., 2022)