neural population

BRAID: Input-driven Nonlinear Dynamical Modeling of Neural-Behavioral Data ICLR 2025 Disentangling the Roles of Distinct Cell Classes with Cell-Type Dynamical Systems NeurIPS 2024 MiSO: Optimizing brain stimulation to create neural population activity states NeurIPS 2024 Modeling Latent Neural Dynamics with Gaussian Process Switching Linear Dynamical Systems NeurIPS 2024 Spectral Learning of Shared Dynamics Between Generalized-Linear Processes NeurIPS 2024 Adaptive Whitening in Neural Populations with Gain-modulating Interneurons ICML 2023 A Recurrent Neural Circuit Mechanism of Temporal-scaling Equivariant Representation NeurIPS 2023 A Unified, Scalable Framework for Neural Population Decoding NeurIPS 2023 Efficient approximation of neural population structure and correlations with probabilistic circuits ICLR 2023 Estimating Noise Correlations Across Continuous Conditions With Wishart Processes NeurIPS 2023 Understanding Neural Coding on Latent Manifolds by Sharing Features and Dividing Ensembles ICLR 2023 Efficient Inference for Dynamic Flexible Interactions of Neural Populations JMLR 2022 Robust alignment of cross-session recordings of neural population activity by behaviour via unsupervised domain adaptation ICML 2022 Directed Spectrum Measures Improve Latent Network Models Of Neural Populations NeurIPS 2021 Probabilistic Tensor Decomposition of Neural Population Spiking Activity NeurIPS 2021 Compact task representations as a normative model for higher-order brain activity NeurIPS 2020 Demixed shared component analysis of neural population data from multiple brain areas NeurIPS 2020 Estimating Fluctuations in Neural Representations of Uncertain Environments NeurIPS 2020 Non-reversible Gaussian processes for identifying latent dynamical structure in neural data NeurIPS 2020 Recurrent Switching Dynamical Systems Models for Multiple Interacting Neural Populations NeurIPS 2020 Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs NeurIPS 2019 Deep Random Splines for Point Process Intensity Estimation of Neural Population Data NeurIPS 2019 Flexible information routing in neural populations through stochastic comodulation NeurIPS 2019 Learning a latent manifold of odor representations from neural responses in piriform cortex NeurIPS 2018 Temporal alignment and latent Gaussian process factor inference in population spike trains NeurIPS 2018