Results 81 to 90 of about 73,361 (258)

Decoding Naturalistic Episodic Memory with Artificial Intelligence and Brain‐Machine Interface

Advanced Science, EarlyView.
Episodic memory weaves together what, where, and when of experience into a personal narrative. Cutting‐edge AI models may decode this intricate process in real‐life settings, revealing how neural activity encodes naturalistic memories. By merging AI with brain–machine interfaces, researchers are edging closer to mapping and even engineering memory ...
Dong Song
wiley   +1 more source

Modulating Complex Sentence Processing in Aphasia Through Attention and Semantic Networks. [PDF]

J Speech Lang Hear Res, 2023
Baker C, Love T.
europepmc   +1 more source

Learnable Diffusion Framework for Mouse V1 Neural Decoding

Advanced Science, EarlyView.
We introduce Sensorium‐Viz, a diffusion‐based framework for reconstructing high‐fidelity visual stimuli from mouse primary visual cortex activity. By integrating a novel spatial embedding module with a Diffusion Transformer (DiT) and a synthetic‐response augmentation strategy, our model outperforms state‐of‐the‐art fMRI‐based baselines, enabling robust
Kaiwen Deng, Peter S. Schwendeman, Yuanfang Guan   +2 more
wiley   +1 more source

Semantic Network Layering

, 2009
The stack in various forms has been widely used as an architectural template for networking systems. Recently the stack has been subject to criticism for a lack of flexibility. However, when it comes right down to it nobody has offered a truly compelling alternative.
Neufeld, Michael, Partridge, Craig
openaire   +2 more sources

Multimodal AI‐Driven Identification of Dehydrocostus Lactone as a Potent Renal Fibrosis Attenuator Targeting IQGAP1

Advanced Science, EarlyView.
Renal fibrosis, a hallmark of CKD, lacks effective treatments. Herein, we developed a multimodal AI model (TCM‐SPred) to identify anti‐fibrotic agents and found that dehydrocostus lactone (DCL) targets IQGAP1 to inhibit Wnt signaling, blocking the interaction between IQGAP1 and CCT3, demonstrating potent anti‐fibrotic activity in vitro and in vivo ...
Weijiang Lin, Wenzhuo Xu, Kang Liu, Ping Wang, Zhenzhen Zhu, Wenyu Lu, Zhe Zheng, Xiaoqian Peng, Xunkai Yin, Shulan Mei, An Pan, Jian Liu, Lihong Hu   +12 more
wiley   +1 more source

Community Detection in Semantic Networks: A Multi-View Approach. [PDF]

Entropy (Basel), 2022
Yang H, Liu Q, Zhang J, Ding X, Chen C, Wang L.   +5 more
europepmc   +1 more source

MicrobeDiscover: A Knowledge Graph–Enabled AI Framework for Identifying Microbes for Inorganic Nanomaterial Biosynthesis

Advanced Science, EarlyView.
Microbial synthesis of nanomaterials (NMs) is eco‐friendly, but the screening of microorganisms is limited by inefficient traditional methods (currently only involving∽400 microorganisms/90 NMs). We propose AI framework MicrobeDiscover, integrating a knowledge graph of microbe‐NM interactions.
Ludi Wang, Hexing Han, Yufeng Liu, Zhiyuan Ning, Yujie Ma, Haidan Wang, Jinling Xu, Qiansheng Huang, Wenjuan Cui, Yuanchun Zhou, Yang Gao, Bin Wang, Yi Du   +12 more
wiley   +1 more source

Integrating Spatial Proteogenomics in Cancer Research

Advanced Science, EarlyView.
Xx xx. ABSTRACT Background: Spatial proteogenomics marks a paradigm shift in oncology by integrating molecular analysis with spatial information from both spatial proteomics and other data modalities (e.g., spatial transcriptomics), thereby unveiling tumor heterogeneity and dynamic changes in the microenvironment.
Yida Wang, Yang Wu, Feng Zhang, Parthiban Periasamy, Haiyue You, Denise Goh, Rachel Elizabeth Ann Fincham, Xin Ning, Danping Wu, Lu Liu, Ying Jiang, Zhiwen Qian, Joe Yeong, Yan Zhang   +13 more
wiley   +1 more source

Free Association Database for a 62-Word Dataset Including Emotion and Colour Terms in English, Estonian, French, German, Italian, Lithuanian, and Spanish: Data from 14 Countries

Journal of Open Psychology Data
This article presents a free association database containing responses to 62 stimulus words (including colour terms, emotion words, and common nouns) across seven languages: English, Estonian, French, German, Italian, Lithuanian, and Spanish.
Domicele Jonauskaite, Déborah Epicoco, Maliha Bouayed Meziane, Britt Burton, Violeta Corona, Eduardo Fonseca-Pedrero, Consuelo González-Dávila, Jelena Havelka, Eric Laurent, Bigna Lenggenhager, Tobias Loetscher, Stephanie Lopez Castiñeira, Leila Manni, Philip Mefoh, Daniel Oberfeld, Merle Oguz, Rabia Yağmur Özduran, Corinna Perchtold-Stefan, Patricia Quant, Michael Quiblier, Maja Roch, Sude Sarayköylü, Giulia F. M. Spagnulo, Maël Theubet, Cecilia Toscanelli, Mari Uusküla, Christine Mohr   +26 more
doaj   +1 more source

Multidimensional Latent Semantic Networks for Text Humor Recognition. [PDF]

Sensors (Basel), 2022
Xiong S, Wang R, Huang X, Chen Z.
europepmc   +1 more source