Related Events (a corresponding poster, oral, or spotlight)

• 2007 Spotlight: Inferring Neural Firing Rates from Spike Trains Using Gaussian Processes »
  Thu. Dec 6th 01:20 -- 01:30 AM Room

More from the Same Authors

• 2021 Spotlight: Probabilistic Tensor Decomposition of Neural Population Spiking Activity »
  Hugo Soulat · Sepiedeh Keshavarzi · Troy Margrie · Maneesh Sahani
• 2021 : Neural Latents Benchmark ‘21: Evaluating latent variable models of neural population activity »
  Felix Pei · Joel Ye · David Zoltowski · Anqi Wu · Raeed Chowdhury · Hansem Sohn · Joseph O'Doherty · Krishna V Shenoy · Matthew Kaufman · Mark Churchland · Mehrdad Jazayeri · Lee Miller · Jonathan Pillow · Il Memming Park · Eva Dyer · Chethan Pandarinath
• 2022 Poster: Structured Recognition for Generative Models with Explaining Away »
  Changmin Yu · Hugo Soulat · Neil Burgess · Maneesh Sahani
• 2021 Poster: Probabilistic Tensor Decomposition of Neural Population Spiking Activity »
  Hugo Soulat · Sepiedeh Keshavarzi · Troy Margrie · Maneesh Sahani
• 2020 Poster: Non-reversible Gaussian processes for identifying latent dynamical structure in neural data »
  Virginia Rutten · Alberto Bernacchia · Maneesh Sahani · Guillaume Hennequin
• 2020 Oral: Non-reversible Gaussian processes for identifying latent dynamical structure in neural data »
  Virginia Rutten · Alberto Bernacchia · Maneesh Sahani · Guillaume Hennequin
• 2020 Poster: Organizing recurrent network dynamics by task-computation to enable continual learning »
  Lea Duncker · Laura N Driscoll · Krishna V Shenoy · Maneesh Sahani · David Sussillo
• 2019 Poster: A neurally plausible model for online recognition and postdiction in a dynamical environment »
  Li Kevin Wenliang · Maneesh Sahani
• 2019 Poster: A neurally plausible model learns successor representations in partially observable environments »
  Eszter Vértes · Maneesh Sahani
• 2019 Oral: A neurally plausible model learns successor representations in partially observable environments »
  Eszter Vértes · Maneesh Sahani
• 2019 Poster: Kernel Instrumental Variable Regression »
  Rahul Singh · Maneesh Sahani · Arthur Gretton
• 2019 Oral: Kernel Instrumental Variable Regression »
  Rahul Singh · Maneesh Sahani · Arthur Gretton
• 2018 Poster: Flexible and accurate inference and learning for deep generative models »
  Eszter Vértes · Maneesh Sahani
• 2018 Poster: Temporal alignment and latent Gaussian process factor inference in population spike trains »
  Lea Duncker · Maneesh Sahani
• 2017 Poster: Adaptive stimulus selection for optimizing neural population responses »
  Benjamin Cowley · Ryan Williamson · Katerina Clemens · Matthew Smith · Byron M Yu
• 2015 Poster: Bayesian Manifold Learning: The Locally Linear Latent Variable Model (LL-LVM) »
  Mijung Park · Wittawat Jitkrittum · Ahmad Qamar · Zoltan Szabo · Lars Buesing · Maneesh Sahani
• 2015 Poster: High-dimensional neural spike train analysis with generalized count linear dynamical systems »
  Yuanjun Gao · Lars Busing · Krishna V Shenoy · John Cunningham
• 2015 Spotlight: High-dimensional neural spike train analysis with generalized count linear dynamical systems »
  Yuanjun Gao · Lars Busing · Krishna V Shenoy · John Cunningham
• 2014 Poster: Extracting Latent Structure From Multiple Interacting Neural Populations »
  Joao Semedo · Amin Zandvakili · Adam Kohn · Christian Machens · Byron M Yu
• 2014 Poster: Deterministic Symmetric Positive Semidefinite Matrix Completion »
  William E Bishop · Byron M Yu
• 2014 Session: Oral Session 5 »
  Byron M Yu
• 2014 Poster: Clustered factor analysis of multineuronal spike data »
  Lars Buesing · Timothy A Machado · John P Cunningham · Liam Paninski
• 2014 Poster: Fast Kernel Learning for Multidimensional Pattern Extrapolation »
  Andrew Wilson · Elad Gilboa · John P Cunningham · Arye Nehorai
• 2014 Spotlight: Clustered factor analysis of multineuronal spike data »
  Lars Buesing · Timothy A Machado · John P Cunningham · Liam Paninski
• 2013 Workshop: Acquiring and Analyzing the Activity of Large Neural Ensembles »
  Srinivas C Turaga · Lars Buesing · Maneesh Sahani · Jakob H Macke
• 2013 Poster: Extracting regions of interest from biological images with convolutional sparse block coding »
  Marius Pachitariu · Adam M Packer · Noah Pettit · Henry Dalgleish · Michael Hausser · Maneesh Sahani
• 2013 Poster: Recurrent linear models of simultaneously-recorded neural populations »
  Marius Pachitariu · Biljana Petreska · Maneesh Sahani
• 2013 Spotlight: Recurrent linear models of simultaneously-recorded neural populations »
  Marius Pachitariu · Biljana Petreska · Maneesh Sahani
• 2012 Workshop: Probabilistic Numerics »
  Philipp Hennig · John P Cunningham · Michael A Osborne
• 2012 Poster: Spectral learning of linear dynamics from generalised-linear observations with application to neural population data »
  Lars Buesing · Jakob H Macke · Maneesh Sahani
• 2012 Oral: Spectral learning of linear dynamics from generalised-linear observations with application to neural population data »
  Lars Buesing · Jakob H Macke · Maneesh Sahani
• 2012 Poster: Learning visual motion in recurrent neural networks »
  Marius Pachitariu · Maneesh Sahani
• 2011 Oral: Empirical models of spiking in neural populations »
  Jakob H Macke · Lars Buesing · John P Cunningham · Byron M Yu · Krishna V Shenoy · Maneesh Sahani
• 2011 Poster: Empirical models of spiking in neural populations »
  Jakob H Macke · Lars Buesing · John P Cunningham · Byron M Yu · Krishna V Shenoy · Maneesh Sahani
• 2011 Poster: A Brain-Machine Interface Operating with a Real-Time Spiking Neural Network Control Algorithm »
  Julie Dethier · Paul Nuyujukian · Chris Eliasmith · Terrence C Stewart · Shauki A Elasaad · Krishna V Shenoy · Kwabena A Boahen
• 2011 Poster: Dynamical segmentation of single trials from population neural data »
  Biljana Petreska · Byron M Yu · John P Cunningham · Gopal Santhanam · Stephen I Ryu · Krishna V Shenoy · Maneesh Sahani
• 2011 Poster: Probabilistic amplitude and frequency demodulation »
  Richard Turner · Maneesh Sahani
• 2011 Spotlight: Probabilistic amplitude and frequency demodulation »
  Richard Turner · Maneesh Sahani
• 2010 Session: The Sam Roweis Symposium »
  Maneesh Sahani
• 2009 Poster: Occlusive Components Analysis »
  Jörg Lücke · Richard Turner · Maneesh Sahani · Marc Henniges
• 2008 Poster: Gaussian-process factor analysis for low-dimensional single-trial analysis of neural population activity »
  Byron M Yu · John P Cunningham · Gopal Santhanam · Stephen I Ryu · Krishna V Shenoy · Maneesh Sahani
• 2007 Workshop: Beyond Simple Cells: Probabilistic Models for Visual Cortical Processing »
  Richard Turner · Pietro Berkes · Maneesh Sahani
• 2007 Oral: Inferring Elapsed Time from Stochastic Neural Processes »
  Misha B Ahrens · Maneesh Sahani
• 2007 Poster: Inferring Elapsed Time from Stochastic Neural Processes »
  Misha B Ahrens · Maneesh Sahani
• 2007 Poster: Modeling Natural Sounds with Modulation Cascade Processes »
  Richard Turner · Maneesh Sahani
• 2007 Poster: On Sparsity and Overcompleteness in Image Models »
  Pietro Berkes · Richard Turner · Maneesh Sahani