Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).
Abstract: Dear Editor, This letter deals with the controller synthesis problem of networked Takagi-Sugeno (T-S) fuzzy systems. Due to the introduction of network communications, the same premise is no ...
At its core, GPT-Rosalind is the first in a new series of models optimized for scientific workflows. While previous ...
Single-cell analysis fails to find a functional link between the organization of chromatin domain organization and gene activity.
Abstract: In this study, we propose a novel method that integrates Nonlinear Model Predictive Contour Control (NMPCC) with an Exponentially Stabilizing Control Lyapunov Function (ES-CLF) and ...