IEEE

GraphGrad: Efficient Estimation of Sparse Polynomial Representations for General State-Space Models

Abstract: State-space models (SSMs) are a powerful statistical tool for modelling time-varying systems via a latent state. In these models, the latent state is never directly observed. Instead, a ...
eLife

Serotonergic modulation of motor subspace dynamics drives a sleep-independent quiescent state

The dorsal raphe nucleus (DRN) serotonergic (5-HT) system has been implicated in regulating sleep and motor control; however, its specific role remains controversial. In this study, we found that ...
eLife

Speech is defined by theta-gamma coupled acoustic rhythms, mapped onto segregated populations in human early auditory cortex

This manuscript presents important findings that challenge traditional models of speech processing by demonstrating that theta-gamma phase-amplitude coupling in the auditory cortex is primarily a ...
IEEE

Distributed Continuous-Discrete State Observer With Discrete Output Measurements and Communication

Abstract: This article addresses a distributed state estimation problem for a continuous-time linear time-invariant system over the sensor and communication networks utilizing the discrete local ...
SpaceNews

Government use of commercial procurement models has limitations in space

Momentus' Vigoride 7 Orbital Service Vehicle has been integrated with a launch plate for the SpaceX Transporter-16 rideshare mission. Credit: Momentus WASHINGTON — While government agencies are ...
GitHub

Neural Continuous-Discrete State Space Models (NCDSSM)

Fig 1. (Top) Generative model of Neural Continuous-Discrete State Space Model. (Bottom) Amortized inference for auxiliary variables and continuous-discrete Bayesian inference for states. This ...