conftrace_

neural datum

15 papers

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Co-occurring keywords

bayesian inference (1907) variational inference (2069) latent dynamics (50) neural data analysis (6) probabilistic modeling (852) recurrent neural network (1790) spike train (28) dynamical system (398) firing rate (8) receptive field (94)

Papers

Inferring stochastic low-rank recurrent neural networks from neural data NIPS 2024
Neural Latent Aligner: Cross-trial Alignment for Learning Representations of Complex, Naturalistic Neural Data ICML 2023
Neural Network Poisson Models for Behavioural and Neural Spike Train Data ICML 2022
Non-reversible Gaussian processes for identifying latent dynamical structure in neural data NIPS 2020
Neural Dynamics Discovery via Gaussian Process Recurrent Neural Networks UAI 2019
Neural system identification for large populations separating “what” and “where” NIPS 2017
Clustered factor analysis of multineuronal spike data NIPS 2014
Bayesian entropy estimation for binary spike train data using parametric prior knowledge NIPS 2013
Bayesian inference for low rank spatiotemporal neural receptive fields NIPS 2013
Robust learning of low-dimensional dynamics from large neural ensembles NIPS 2013
Fully Bayesian inference for neural models with negative-binomial spiking NIPS 2012
Dynamical segmentation of single trials from population neural data NIPS 2011
Switching state space model for simultaneously estimating state transitions and nonstationary firing rates NIPS 2010
Correlation Coefficients are Insufficient for Analyzing Spike Count Dependencies NIPS 2009
Dependent Dirichlet Process Spike Sorting NIPS 2008