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Marius Pachitariu
Person information
- affiliation: Howard Hughes Medical Institute, Ashburn, VA, USA
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2020 – today
- 2022
- [j3]Biraj Pandey, Marius Pachitariu, Bingni W. Brunton, Kameron Decker Harris:
Structured random receptive fields enable informative sensory encodings. PLoS Comput. Biol. 18(10): 1010484 (2022)
2010 – 2019
- 2019
- [j2]Carsen Stringer, Marius Pachitariu, Nicholas A. Steinmetz, Matteo Carandini, Kenneth D. Harris:
High-dimensional geometry of population responses in visual cortex. Nat. 571(7765): 361-365 (2019) - 2018
- [j1]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, Johannes Friedrich, Liam Paninski, Marius Pachitariu, Kenneth D. Harris, Ben Bolte, Timothy A. Machado, Dario Ringach, Jasmine Stone, Luke E. Rogerson, Nicolas J. Sofroniew, Jacob Reimer, Emmanouil Froudarakis, Thomas Euler, Miroslav Román Rosón, Lucas Theis, Andreas S. Tolias, Matthias Bethge:
Community-based benchmarking improves spike rate inference from two-photon calcium imaging data. PLoS Comput. Biol. 14(5) (2018) - 2016
- [c4]Marius Pachitariu, Nicholas A. Steinmetz, Shabnam N. Kadir, Matteo Carandini, Kenneth D. Harris:
Fast and accurate spike sorting of high-channel count probes with KiloSort. NIPS 2016: 4448-4456 - 2013
- [c3]Marius Pachitariu, Adam M. Packer, Noah Pettit, Henry Dalgleish, Michael Häusser, Maneesh Sahani:
Extracting regions of interest from biological images with convolutional sparse block coding. NIPS 2013: 1745-1753 - [c2]Marius Pachitariu, Biljana Petreska, Maneesh Sahani:
Recurrent linear models of simultaneously-recorded neural populations. NIPS 2013: 3138-3146 - [i1]Marius Pachitariu, Maneesh Sahani:
Regularization and nonlinearities for neural language models: when are they needed? CoRR abs/1301.5650 (2013) - 2012
- [c1]Marius Pachitariu, Maneesh Sahani:
Learning visual motion in recurrent neural networks. NIPS 2012: 1331-1339
Coauthor Index
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