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Publication search results
found 118 matches
- 2024
- Benjamin Antin
, Masato Sadahiro, Marta Gajowa, Marcus A. Triplett, Hillel Adesnik, Liam Paninski:
Removing direct photocurrent artifacts in optogenetic connectivity mapping data via constrained matrix factorization. PLoS Comput. Biol. 20(5): 1012053 (2024) - James Ryu, Amin Nejatbakhsh, Mahdi Torkashvand
, Sahana Gangadharan, Maedeh Seyedolmohadesin, Jinmahn Kim, Liam Paninski, Vivek Venkatachalam
:
Versatile multiple object tracking in sparse 2D/3D videos via deformable image registration. PLoS Comput. Biol. 20(5): 1012075 (2024) - Yizi Zhang, Yanchen Wang, Donato Jimenez-Beneto, Zixuan Wang, Mehdi Azabou, Blake A. Richards, Olivier Winter, International Brain Laboratory, Eva L. Dyer, Liam Paninski, Cole L. Hurwitz:
Towards a "universal translator" for neural dynamics at single-cell, single-spike resolution. CoRR abs/2407.14668 (2024) - Ari Blau, Evan S. Schaffer
, Neeli Mishra, Nathaniel J. Miska, International Brain Laboratory, Liam Paninski, Matthew R. Whiteway:
A study of animal action segmentation algorithms across supervised, unsupervised, and semi-supervised learning paradigms. CoRR abs/2407.16727 (2024) - 2023
- Shuonan Chen, Bovey Y. Rao, Stephanie Herrlinger, Attila Losonczy, Liam Paninski, Erdem Varol:
Multimodal Microscopy Image Alignment Using Spatial and Shape Information and a Branch-and-Bound Algorithm. ICASSP 2023: 1-5 - Charlie Windolf, Angelique C. Paulk, Yoav Kfir
, Eric Trautmann, Domokos Meszéna
, William Muñoz, Irene Caprara, Mohsen Jamali, Julien Boussard, Ziv M. Williams, Sydney S. Cash, Liam Paninski, Erdem Varol:
Robust Online Multiband Drift Estimation in Electrophysiology Data. ICASSP 2023: 1-5 - Amin Nejatbakhsh, Neel Dey, Vivek Venkatachalam, Eviatar Yemini, Liam Paninski, Erdem Varol:
Learning Probabilistic Piecewise Rigid Atlases of Model Organisms via Generative Deep Networks. IPMI 2023: 332-343 - Marcus A. Triplett, Marta Gajowa, Hillel Adesnik, Liam Paninski:
Bayesian target optimisation for high-precision holographic optogenetics. NeurIPS 2023 - Ankit Vishnubhotla, Charlotte Loh, Akash Srivastava, Liam Paninski, Cole L. Hurwitz:
Towards robust and generalizable representations of extracellular data using contrastive learning. NeurIPS 2023 - Yizi Zhang, Tianxiao He, Julien Boussard, Charles Windolf, Olivier Winter, Eric Trautmann, Noam Roth, Hailey Barrell, Mark Churchland, Nicholas A Steinmetz, Erdem Varol, Cole L. Hurwitz, Liam Paninski:
Bypassing spike sorting: Density-based decoding using spike localization from dense multielectrode probes. NeurIPS 2023 - 2022
- Shuonan Chen
, Jackson Loper
, Pengcheng Zhou
, Liam Paninski:
Blind demixing methods for recovering dense neuronal morphology from barcode imaging data. PLoS Comput. Biol. 18(4) (2022) - Ari Blau, Christoph Gebhardt, Andrés Bendesky, Liam Paninski, Anqi Wu:
SemiMultiPose: A Semi-supervised Multi-animal Pose Estimation Framework. CoRR abs/2204.07072 (2022) - 2021
- Jackson Loper, David M. Blei, John P. Cunningham, Liam Paninski:
A general linear-time inference method for Gaussian Processes on one dimension. J. Mach. Learn. Res. 22: 234:1-234:36 (2021) - Young Joon Kim, Nora Brackbill, Eleanor Batty, Jin Hyung Lee, Catalin Mitelut
, William Tong, E. J. Chichilnisky
, Liam Paninski:
Nonlinear Decoding of Natural Images From Large-Scale Primate Retinal Ganglion Recordings. Neural Comput. 33(7): 1719-1750 (2021) - Shuonan Chen
, Jackson Loper, Xiaoyin Chen
, Alex Vaughan, Anthony M. Zador, Liam Paninski:
BARcode DEmixing through Non-negative Spatial Regression (BarDensr). PLoS Comput. Biol. 17(3) (2021) - Matthew R. Whiteway
, Dan Biderman
, Yoni Friedman
, Mario Dipoppa
, Estefany Kelly Buchanan
, Anqi Wu
, John Zhou
, Niccolò Bonacchi
, Nathaniel J. Miska
, Jean-Paul Noel
, Erica Rodriguez
, Michael Schartner
, Karolina Socha
, Anne E. Urai
, C. Daniel Salzman, International Brain Laboratory, John P. Cunningham, Liam Paninski:
Partitioning variability in animal behavioral videos using semi-supervised variational autoencoders. PLoS Comput. Biol. 17(9) (2021) - Erdem Varol, Julien Boussard
, Nishchal Dethe, Olivier Winter, Anne E. Urai
, International Brain Laboratory, Anne Churchland, Nick Steinmetz, Liam Paninski:
Decentralized Motion Inference and Registration of Neuropixel Data. ICASSP 2021: 1085-1089 - Bovey Y. Rao
, Alexis M. Peterson, Elena K. Kandror, Stephanie Herrlinger, Attila Losonczy, Liam Paninski, Abbas H. Rizvi, Erdem Varol:
Non-parametric Vignetting Correction for Sparse Spatial Transcriptomics Images. MICCAI (8) 2021: 466-475 - Julien Boussard, Erdem Varol, Hyun Dong Lee, Nishchal Dethe, Liam Paninski:
Three-dimensional spike localization and improved motion correction for Neuropixels recordings. NeurIPS 2021: 22095-22105 - 2020
- Shreya Saxena
, Ian Kinsella, Simon Musall
, Sharon H. Kim
, Jozsef Meszaros
, David N. Thibodeaux, Carla Kim
, John J. Cunningham, Elizabeth M. C. Hillman
, Anne Churchland
, Liam Paninski:
Localized semi-nonnegative matrix factorization (LocaNMF) of widefield calcium imaging data. PLoS Comput. Biol. 16(4) (2020) - Ari Pakman, Yueqi Wang, Catalin Mitelut, Jin Hyung Lee, Liam Paninski:
Neural Clustering Processes. ICML 2020: 7455-7465 - Amin Nejatbakhsh, Erdem Varol, Eviatar Yemini, Oliver Hobert, Liam Paninski:
Probabilistic Joint Segmentation and Labeling of C. elegans Neurons. MICCAI (5) 2020: 130-140 - Amin Nejatbakhsh, Erdem Varol, Eviatar Yemini, Vivek Venkatachalam, Albert Lin, Aravinthan D. T. Samuel, Oliver Hobert, Liam Paninski:
Demixing Calcium Imaging Data in C. elegans via Deformable Non-negative Matrix Factorization. MICCAI (5) 2020: 14-24 - Erdem Varol, Amin Nejatbakhsh, Ruoxi Sun, Gonzalo E. Mena, Eviatar Yemini, Oliver Hobert, Liam Paninski:
Statistical Atlas of C. elegans Neurons. MICCAI (5) 2020: 119-129 - Joshua I. Glaser, Matthew R. Whiteway, John P. Cunningham, Liam Paninski, Scott W. Linderman:
Recurrent Switching Dynamical Systems Models for Multiple Interacting Neural Populations. NeurIPS 2020 - Anqi Wu, Estefany Kelly Buchanan, Matthew R. Whiteway, Michael Schartner, Guido Meijer, Jean-Paul Noel, Erica Rodriguez, Claire Everett, Amy Norovich, Evan Schaffer, Neeli Mishra, C. Daniel Salzman, Dora E. Angelaki, Andrés Bendesky, International Brain Laboratory, John P. Cunningham, Liam Paninski:
Deep Graph Pose: a semi-supervised deep graphical model for improved animal pose tracking. NeurIPS 2020 - Ding Zhou, Yuanjun Gao, Liam Paninski:
Disentangled Sticky Hierarchical Dirichlet Process Hidden Markov Model. ECML/PKDD (1) 2020: 612-627 - Jackson Loper, David M. Blei, John P. Cunningham, Liam Paninski:
General linear-time inference for Gaussian Processes on one dimension. CoRR abs/2003.05554 (2020) - Ding Zhou, Yuanjun Gao, Liam Paninski:
Disentangled sticky hierarchical Dirichlet process hidden Markov model. CoRR abs/2004.03019 (2020) - Ari Pakman, Yueqi Wang, Yoonho Lee, Pallab Basu, Juho Lee, Yee Whye Teh, Liam Paninski:
Attentive Clustering Processes. CoRR abs/2010.15727 (2020)
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