More from the Same Authors

• 2021 : Sinkhorn EM: An Expectation-Maximization algorithm based on entropic optimal transport »
  Gonzalo Mena · Amin Nejatbakhsh · Erdem Varol · Jonathan Niles-Weed
• 2021 : Sinkhorn EM: An Expectation-Maximizationalgorithm based on entropic optimal transport »
  Gonzalo Mena · Amin Nejatbakhsh · Erdem Varol · Jonathan Niles-Weed
• 2021 : Revisiting the Structured Variational Autoencoder »
  Yixiu Zhao · Scott Linderman
• 2021 : Bayesian Inference in Augmented Bow Tie Networks »
  Jimmy Smith · Dieterich Lawson · Scott Linderman
• 2021 Poster: Three-dimensional spike localization and improved motion correction for Neuropixels recordings »
  Julien Boussard · Erdem Varol · Hyun Dong Lee · Nishchal Dethe · Liam Paninski
• 2021 Poster: Generalized Shape Metrics on Neural Representations »
  Alex H Williams · Erin Kunz · Simon Kornblith · Scott Linderman
• 2021 Poster: Reverse engineering recurrent neural networks with Jacobian switching linear dynamical systems »
  Jimmy Smith · Scott Linderman · David Sussillo
• 2020 Poster: Recurrent Switching Dynamical Systems Models for Multiple Interacting Neural Populations »
  Joshua Glaser · Matthew Whiteway · John Cunningham · Liam Paninski · Scott Linderman
• 2019 : Poster Session »
  Pravish Sainath · Mohamed Akrout · Charles Delahunt · Nathan Kutz · Guangyu Robert Yang · Joseph Marino · L F Abbott · Nicolas Vecoven · Damien Ernst · andrew warrington · Michael Kagan · Kyunghyun Cho · Kameron Harris · Leopold Grinberg · John J. Hopfield · Dmitry Krotov · Taliah Muhammad · Erick Cobos · Edgar Walker · Jacob Reimer · Andreas Tolias · Alexander Ecker · Janaki Sheth · Yu Zhang · Maciej Wołczyk · Jacek Tabor · Szymon Maszke · Roman Pogodin · Dane Corneil · Wulfram Gerstner · Baihan Lin · Guillermo Cecchi · Jenna M Reinen · Irina Rish · Guillaume Bellec · Darjan Salaj · Anand Subramoney · Wolfgang Maass · Yueqi Wang · Ari Pakman · Jin Hyung Lee · Liam Paninski · Bryan Tripp · Colin Graber · Alex Schwing · Luke Prince · Gabriel Ocker · Michael Buice · Benjamin Lansdell · Konrad Kording · Jack Lindsey · Terrence Sejnowski · Matthew Farrell · Eric Shea-Brown · Nicolas Farrugia · Victor Nepveu · Jiwoong Im · Kristin Branson · Brian Hu · Ramakrishnan Iyer · Stefan Mihalas · Sneha Aenugu · Hananel Hazan · Sihui Dai · Tan Nguyen · Doris Tsao · Richard Baraniuk · Anima Anandkumar · Hidenori Tanaka · Aran Nayebi · Stephen Baccus · Surya Ganguli · Dean Pospisil · Eilif Muller · Jeffrey S Cheng · Gaël Varoquaux · Kamalaker Dadi · Dimitrios C Gklezakos · Rajesh PN Rao · Anand Louis · Christos Papadimitriou · Santosh Vempala · Naganand Yadati · Daniel Zdeblick · Daniela M Witten · Nicholas Roberts · Vinay Prabhu · Pierre Bellec · Poornima Ramesh · Jakob H Macke · Santiago Cadena · Guillaume Bellec · Franz Scherr · Owen Marschall · Robert Kim · Hannes Rapp · Marcio Fonseca · Oliver Armitage · Jiwoong Im · Thomas Hardcastle · Abhishek Sharma · Wyeth Bair · Adrian Valente · Shane Shang · Merav Stern · Rutuja Patil · Peter Wang · Sruthi Gorantla · Peter Stratton · Tristan Edwards · Jialin Lu · Martin Ester · Yurii Vlasov · Siavash Golkar
• 2019 Poster: BehaveNet: nonlinear embedding and Bayesian neural decoding of behavioral videos »
  Eleanor Batty · Matthew Whiteway · Shreya Saxena · Dan Biderman · Taiga Abe · Simon Musall · Winthrop Gillis · Jeffrey Markowitz · Anne Churchland · John Cunningham · Sandeep R Datta · Scott Linderman · Liam Paninski
• 2019 Poster: Scalable Bayesian inference of dendritic voltage via spatiotemporal recurrent state space models »
  Ruoxi Sun · Ian Kinsella · Scott Linderman · Liam Paninski
• 2019 Poster: Efficient characterization of electrically evoked responses for neural interfaces »
  Nishal Shah · Sasidhar Madugula · Pawel Hottowy · Alexander Sher · Alan Litke · Liam Paninski · E.J. Chichilnisky
• 2019 Oral: Scalable Bayesian inference of dendritic voltage via spatiotemporal recurrent state space models »
  Ruoxi Sun · Ian Kinsella · Scott Linderman · Liam Paninski
• 2018 Poster: How to Start Training: The Effect of Initialization and Architecture »
  Boris Hanin · David Rolnick
• 2018 Poster: Point process latent variable models of larval zebrafish behavior »
  Anuj Sharma · Robert Johnson · Florian Engert · Scott Linderman
• 2018 Spotlight: Point process latent variable models of larval zebrafish behavior »
  Anuj Sharma · Robert Johnson · Florian Engert · Scott Linderman
• 2017 : 7 x 3 minutes spotlights »
  Elsa Cazelles · Aude Genevay · Gonzalo Mena · Christoph Brauer · Asja Fischer · Henning Petzka · Vivien Seguy · Antoine Rolet · Sho Sonoda
• 2017 : Morphological error detection for connectomics »
  David Rolnick
• 2017 : Multi-neuronal imaging of C. elegans courtship and mating »
  Vivek Venkatachalam
• 2017 : From salt navigation in Caenorhabditis elegans to robot navigation in urban environments, or: the role of sensory computation in balancing exploration and exploitation during animal search »
  Netta Cohen
• 2017 : 3 spotlight presentations »
  Estefany Kelly Buchanan · Mathias Lechner · Kezhi Li
• 2017 Spotlight: Deep Networks for Decoding Natural Images from Retinal Signals »
  Nikhil Parthasarathy · Eleanor Batty · William Falcon · Thomas Rutten · Mohit Rajpal · E.J. Chichilnisky · Liam Paninski
• 2017 Poster: Neural Networks for Efficient Bayesian Decoding of Natural Images from Retinal Neurons »
  Nikhil Parthasarathy · Eleanor Batty · William Falcon · Thomas Rutten · Mohit Rajpal · E.J. Chichilnisky · Liam Paninski
• 2017 Poster: OnACID: Online Analysis of Calcium Imaging Data in Real Time »
  Andrea Giovannucci · Johannes Friedrich · Matt Kaufman · Anne Churchland · Dmitri Chklovskii · Liam Paninski · Eftychios Pnevmatikakis
• 2017 Poster: YASS: Yet Another Spike Sorter »
  Jin Hyung Lee · David Carlson · Hooshmand Shokri Razaghi · Weichi Yao · Georges A Goetz · Espen Hagen · Eleanor Batty · E.J. Chichilnisky · Gaute T. Einevoll · Liam Paninski
• 2016 Poster: Linear dynamical neural population models through nonlinear embeddings »
  Yuanjun Gao · Evan Archer · Liam Paninski · John Cunningham
• 2016 Poster: Fast Active Set Methods for Online Spike Inference from Calcium Imaging »
  Johannes Friedrich · Liam Paninski
• 2016 Poster: Automated scalable segmentation of neurons from multispectral images »
  Uygar Sümbül · Douglas Roossien · Dawen Cai · Fei Chen · Nicholas Barry · John Cunningham · Edward Boyden · Liam Paninski
• 2014 Poster: Clustered factor analysis of multineuronal spike data »
  Lars Buesing · Timothy A Machado · John P Cunningham · Liam Paninski
• 2014 Spotlight: Clustered factor analysis of multineuronal spike data »
  Lars Buesing · Timothy A Machado · John P Cunningham · Liam Paninski
• 2013 Poster: A multi-agent control framework for co-adaptation in brain-computer interfaces »
  Josh S Merel · Roy Fox · Tony Jebara · Liam Paninski
• 2013 Poster: Bayesian Inference and Online Experimental Design for Mapping Neural Microcircuits »
  Ben Shababo · Brooks Paige · Ari Pakman · Liam Paninski
• 2013 Spotlight: Bayesian Inference and Online Experimental Design for Mapping Neural Microcircuits »
  Ben Shababo · Brooks Paige · Ari Pakman · Liam Paninski
• 2013 Poster: Auxiliary-variable Exact Hamiltonian Monte Carlo Samplers for Binary Distributions »
  Ari Pakman · Liam Paninski
• 2013 Poster: Sparse nonnegative deconvolution for compressive calcium imaging: algorithms and phase transitions »
  Eftychios Pnevmatikakis · Liam Paninski
• 2013 Poster: Robust learning of low-dimensional dynamics from large neural ensembles »
  David Pfau · Eftychios Pnevmatikakis · Liam Paninski
• 2011 Poster: Information Rates and Optimal Decoding in Large Neural Populations »
  Kamiar Rahnama Rad · Liam Paninski
• 2011 Spotlight: Information Rates and Optimal Decoding in Large Neural Populations »
  Kamiar Rahnama Rad · Liam Paninski