Co-occurring keywords · papers mentioning both
Papers
Inference of Neural Dynamics Using Switching Recurrent Neural Networks
NeurIPS 2024
Multi-modal Gaussian Process Variational Autoencoders for Neural and Behavioral Data
ICLR 2024
A probabilistic framework for task-aligned intra- and inter-area neural manifold estimation
ICLR 2023
STNDT: Modeling Neural Population Activity with Spatiotemporal Transformers
NeurIPS 2022
Inferring Latent Dynamics Underlying Neural Population Activity via Neural Differential Equations
ICML 2021
Identifying signal and noise structure in neural population activity with Gaussian process factor models
NeurIPS 2020
Learning identifiable and interpretable latent models of high-dimensional neural activity using pi-VAE
NeurIPS 2020
Model-based targeted dimensionality reduction for neuronal population data
NeurIPS 2018
Unlocking neural population non-stationarities using hierarchical dynamics models
NeurIPS 2015
A Bayesian model for identifying hierarchically organised states in neural population activity
NeurIPS 2014
Low-dimensional models of neural population activity in sensory cortical circuits
NeurIPS 2014
Correlations strike back (again): the case of associative memory retrieval
NeurIPS 2013
Gaussian-process factor analysis for low-dimensional single-trial analysis of neural population activity
NeurIPS 2008