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Princeton University · as of Jan 2025
Computational Statistics, Computational Neuroscience · 2 talks · 24 posters · 1 podcast episode
Latest poster · Mar 27, 2025
Capturing condition dependence in neural dynamics with Gaussian process linear dynamical systemsGoethe University · as of Oct 2025 · +1 institution
Computational Statistics, Deep Learning · 1 talk · 6 posters · 1 podcast episode
Latest podcast episode · Feb 28, 2026
On extracting spiking network models from experiments - with Richard Gao - #38Doñana Biological Station, Spain · +1 institution
Environmental Statistics, Environmental Science · 1 talk · 1 workshop
Next workshop · Jan 25, 2027
Ecological Forecasting in Practice: Building Iterative Workflows for Biodiversity PredictionsTechnion · as of Jan 2025 · +2 institutions
Differential Geometry, Neuro-Informatics · 1 talk · 4 posters
Latest poster · Mar 27, 2025
Contextual Feature Selection with Conditional Stochastic GatesJiatong University · as of May 2024
Signal Processing, Neuro-Informatics · 1 talk · 2 posters
Latest poster · Sep 29, 2024
Linking causal and structural connectivity in nonlinear networksTubingen University · +2 institutions
Mathematical Modeling, Machine Learning · 2 talks · 24 posters
Latest poster · Mar 27, 2025
Inferring stochastic low-rank recurrent neural networks from neural dataNYU / Flatiron Institute · +2 institutions
Machine Learning, Computational Neuroscience · 1 talk · 1 workshop · 5 posters
Latest poster · Mar 27, 2025
Capturing condition dependence in neural dynamics with Gaussian process linear dynamical systemsFlatiron Institute; Center for Computational Biology · as of Mar 2023
Machine Learning, Computational Neuroscience · 7 posters
Latest poster · Mar 27, 2025
Capturing condition dependence in neural dynamics with Gaussian process linear dynamical systemsComputational Statistics, Machine Learning · 5 posters
Latest poster · Mar 27, 2025
Inferring stochastic low-rank recurrent neural networks from neural dataConsultora, Portugal · +1 institution
Geography, Environmental Statistics · 4 workshops
Next workshop · Nov 23, 2026
Mapas y operaciones espaciales (SIG) con RComputational Statistics, Deep Learning · 4 posters
Latest poster · Mar 27, 2025
Latent diffusion for neural spiking data for generating realistic neural time seriesPrinceton University · as of Mar 2022
Computational Statistics, Computational Neuroscience · 5 posters
Latest poster · Mar 27, 2025
Capturing condition dependence in neural dynamics with Gaussian process linear dynamical systemsNext workshop · Nov 2, 2026
Causal AI Methods for Computational BiologyLatest talk ·
Reshaping Metrology with Quantum Information ProcessingPrinceton University · as of Mar 2022
Computational Statistics, Mathematical Modeling · 3 posters
Latest poster · Mar 27, 2025
Stiefel manifold dynamical system for tracking neural drift across sessionsMathematics, Bayesian Statistics · 2 posters
Latest poster · Mar 27, 2025
Capturing condition dependence in neural dynamics with Gaussian process linear dynamical systemsJanelia Research Campus · as of Nov 2024 · +3 institutions
Mathematical Modeling, Computational Neuroscience · 3 talks · 10 posters
Latest poster · Mar 27, 2025
Bridging sampling methods with attractor dynamics in spiking head direction networksComputational Statistics, Dynamical Systems · 2 posters
Latest poster · Mar 27, 2025
Inferring stochastic low-rank recurrent neural networks from neural dataPrinceton Neuroscience Institute · +1 institution
Cognition, Behavioral Neuroscience · 1 talk · 14 posters
Latest poster · Mar 27, 2025
Elucidating the state-dependence of cortical involvement in decision-makingDeep Learning, Computational Statistics · 3 posters
Latest poster · Mar 27, 2025
Latent diffusion for neural spiking data for generating realistic neural time series