conftrace_

neural population

44 papers

Explore in graph

Co-occurring keywords

gaussian process (1200) variational inference (2069) dimensionality reduction (720) latent variable model (564) neural population coding (9) bayesian inference (1907) noise correlation (9) generalized linear model (138) neural population activity (10) point process (109)

Papers

Modeling Latent Neural Dynamics with Gaussian Process Switching Linear Dynamical Systems NIPS 2024
MiSO: Optimizing brain stimulation to create neural population activity states NIPS 2024
Disentangling the Roles of Distinct Cell Classes with Cell-Type Dynamical Systems NIPS 2024
Spectral Learning of Shared Dynamics Between Generalized-Linear Processes NIPS 2024
A Recurrent Neural Circuit Mechanism of Temporal-scaling Equivariant Representation NIPS 2023
A Unified, Scalable Framework for Neural Population Decoding NIPS 2023
Adaptive Whitening in Neural Populations with Gain-modulating Interneurons ICML 2023
Estimating Noise Correlations Across Continuous Conditions With Wishart Processes NIPS 2023
Robust alignment of cross-session recordings of neural population activity by behaviour via unsupervised domain adaptation ICML 2022
Efficient Inference for Dynamic Flexible Interactions of Neural Populations JMLR 2022
Probabilistic Tensor Decomposition of Neural Population Spiking Activity NIPS 2021
Directed Spectrum Measures Improve Latent Network Models Of Neural Populations NIPS 2021
Demixed shared component analysis of neural population data from multiple brain areas NIPS 2020
Estimating Fluctuations in Neural Representations of Uncertain Environments NIPS 2020
Compact task representations as a normative model for higher-order brain activity NIPS 2020
Recurrent Switching Dynamical Systems Models for Multiple Interacting Neural Populations NIPS 2020
Non-reversible Gaussian processes for identifying latent dynamical structure in neural data NIPS 2020
Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs NIPS 2019
Deep Random Splines for Point Process Intensity Estimation of Neural Population Data NIPS 2019
Flexible information routing in neural populations through stochastic comodulation NIPS 2019
Learning a latent manifold of odor representations from neural responses in piriform cortex NIPS 2018
Temporal alignment and latent Gaussian process factor inference in population spike trains NIPS 2018
Adaptive stimulus selection for optimizing neural population responses NIPS 2017
Extracting low-dimensional dynamics from multiple large-scale neural population recordings by learning to predict correlations NIPS 2017
Linear dynamical neural population models through nonlinear embeddings NIPS 2016