Work

Real-Time Variational Method for Learning Neural Trajectory and its Dynamics

Year: 2023

Type: preprint

Abstract: step of the Kalman filter which leads to a provably tighter bound on the ELBO compared to another online variational method. We validate our method on synthetic and real-world data, and, notably, show that it achieves competitive performance.

Source: PubMed

DOI: 10.48550/arxiv.2305.11278

Authors: Dowling, Matthew, Zhao, Yuan, Park, Il Memming

Institutions: Champalimaud Foundation, Stony Brook University, National Institute of Mental Health

Language: English

Topic: Gaussian Processes and Bayesian Inference

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funders: National Science Foundation, National Institutes of Health, National Institute of Mental Health, National Institute on Drug Abuse

Awards: Adaptive statistical algorithms for learning and control of neural dynamics, G35903593, G6671297155, CAREER: Dynamical Systems Modeling of Large-Scale Neural Signals Underlying Cognition, G9000239116

OpenAlex ID: W4377298902

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Cited by: 1

Related to: 10