Timezone: »
Poster
Inferring Elapsed Time from Stochastic Neural Processes
Misha B Ahrens · Maneesh Sahani
Author Information
Misha B Ahrens (University College London)
Maneesh Sahani (Gatsby Unit, UCL)
Related Events (a corresponding poster, oral, or spotlight)
-
2007 Oral: Inferring Elapsed Time from Stochastic Neural Processes »
Thu. Dec 6th 04:30 -- 04:50 PM Room
More from the Same Authors
-
2021 Spotlight: Probabilistic Tensor Decomposition of Neural Population Spiking Activity »
Hugo Soulat · Sepiedeh Keshavarzi · Troy Margrie · Maneesh Sahani -
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 -
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 -
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 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: 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 Spotlight: Inferring Neural Firing Rates from Spike Trains Using Gaussian Processes »
John P Cunningham · Byron M Yu · Krishna V Shenoy · Maneesh Sahani -
2007 Poster: Inferring Neural Firing Rates from Spike Trains Using Gaussian Processes »
John P Cunningham · Byron M Yu · Krishna V Shenoy · 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