Results 111 to 120 of about 241,667 (307)
Dynamic Neural Deactivation Bridges Direct and Competitive Inhibition Processes
Dynamic neural deactivation bridges traditionally distinct inhibitory mechanisms—direct inhibition and competition‐induced inhibition—revealing a common neural signature across modalities. Multimodal neuroimaging and behavioral experiments demonstrate a temporal dynamic characterized by progressive frontoparietal activation decay and enhanced sensory ...
Zhenhong He+6 more
wiley +1 more source
A Study of Actor and Action Semantic Retention in Video Supervoxel Segmentation [PDF]
Existing methods in the semantic computer vision community seem unable to deal with the explosion and richness of modern, open-source and social video content.
Corso, Jason J.+4 more
core
KPPepGen is a knowledge‐aware prompt diffusion model for the controllable generation of pathogen‐specific AMPs. It outperforms existing methods and is capable of simultaneously generating peptides for distinct pathogens, demonstrating superior performance with favorable properties and docking efficacy.
Yongkang Wang+4 more
wiley +1 more source
Class Semantics-based Attention for Action Detection [PDF]
Deepak Sridhar+5 more
openalex +3 more sources
UNCONTROLLABILITY AND TEMPORALITY
The paper considers the influence of the semantics of uncontrollability on the use of verbs in different tense forms.
T. G. Pismak
doaj
The Potential of Cognitive‐Inspired Neural Network Modeling Framework for Computer Vision
In article number 202507730, Guorun Li, Lei Liu, Yuefeng Du, and co‐workers present a cognitive modeling framework (CMF) to bridge the ‘representation gap’ and ‘conceptual gap’ between cognitive theory and vision deep neural networks (VDNNs). The research findings provide new insights and solid theoretical support for VDNN modeling inspired by ...
Guorun Li+5 more
wiley +1 more source
ggalign: Bridging the Grammar of Graphics and Biological Multilayered Complexity
The ggalign package provides a comprehensive framework for composable visualization built on top of ggplot2. Its primary purpose is to enable the construction of complex multi‐plot layouts with consistent observation alignment across plots, particularly for high‐dimensional data contexts such as genomics, transcriptomics, and microbiome studies ...
Yun Peng+9 more
wiley +1 more source
AI is not seen through an unbiased lens. People tend to stereotype AI as competent and link it with socially advantaged groups—such as men, the wealthy, the young, and prestigious occupations—raising concerns that such perceptions may deepen existing social divides rather than bridge them.
Zixi Wang+4 more
wiley +1 more source
Learning to Understand by Evolving Theories
In this paper, we describe an approach that enables an autonomous system to infer the semantics of a command (i.e. a symbol sequence representing an action) in terms of the relations between changes in the observations and the action instances.
Mueller, Martin E., Thosar, Madhura D.
core
There has been much interest in components that combine the best of state-based and event-based approaches. The interface of a component can be thought of as its specification and substituting components with the same interface cannot be observed by any ...
Reeves, Steve, Streader, David
core +1 more source