Results 201 to 210 of about 33,490 (247)

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

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

Retraction Note: Sign language recognition using the fusion of image and hand landmarks through multi-headed convolutional neural network. [PDF]

Sci Rep
Pathan RK, Biswas M, Yasmin S, Khandaker MU, Salman M, Youssef AAF.   +5 more
europepmc   +1 more source

Astrocytic TIA1‐Mediated Stress Granules Promote the Demyelination of Optic Neuritis by Sequestering mRNA of Cholesterol Synthesis Genes in an Experimental Autoimmune Encephalomyelitis Model

Advanced Science, EarlyView.
Astrocytic TIA1‐mediated stress granules (SGs) promote demyelination by sequestering the mRNA of cholesterol synthesis genes. In this model, astrocytic TIA1‐mediated SGs were increased in the optic nerves of EAE mice, leading to the downregulation of cholesterol synthesis genes such as HMGCS1 through sequestration of their mRNA into SGs, which ...
Zheyu Fang, Xin Hua, Ziwei Fan, Jiaxin Zhao, Yuan Zhang, Qiaoyi Zhang, Xi Qu, Shengli Pan, Bingbing Wan, Shiyin Yang, Jia Li, Xu Zhang   +11 more
wiley   +1 more source

Sign Language Recognition System for Deaf Patients: Protocol for a Systematic Review.

JMIR Res Protoc
Marcolino MS, Oliveira LFR, Valle LR, Rosa LMMS, Reis ZSN, Soares TBC, Bernardino ELA, Cordeiro RAA, Prates RO, Campos MFM.   +9 more
europepmc   +1 more source

Real-Time Arabic Sign Language Recognition Using a Hybrid Deep Learning Model. [PDF]

Sensors (Basel)
Noor TH, Noor A, Alharbi AF, Faisal A, Alrashidi R, Alsaedi AS, Alharbi G, Alsanoosy T, Alsaeedi A.   +8 more
europepmc   +1 more source

A Microfiber‐Reinforced Janus Hydrogel E‐Skin With Recyclable Feature for Multimodal Sensing and Gender‐Specific Physiological Monitoring

Advanced Science, EarlyView.
Hydrogel‐based wearable electronics hold great promise for physiological monitoring in privacy‐sensitive regions. In this study, a polyurethane (PU) microfiber‐reinforced gelatin hydrogel e‐skin is developed, boasting multiple advantages such as ultra‐thinness, high toughness, and long‐term skin conformability.
Yarong Ding, Yufeng Li, Shaozhe Tan, Jiachun Sun, Xu Yang, Xuesi Zhang, Zhenhua Lin, Zhenyu Li, Yue Hao, Yannan Liu, Yingchun Li, Jingjing Chang   +11 more
wiley   +1 more source

LAVRF: Sign language recognition via Lightweight Attentive VGG16 with Random Forest. [PDF]

PLoS One
Ewe ELR, Lee CP, Lim KM, Kwek LC, Alqahtani A.   +4 more
europepmc   +1 more source

Sign language recognition using modified deep learning network and hybrid optimization: a hybrid optimizer (HO) based optimized CNNSa-LSTM approach. [PDF]

Sci Rep
Baihan A, Alutaibi AI, Alshehri M, Sharma SK.   +3 more
europepmc   +1 more source

Sign language recognition model

Elina Singh, Aditi Balaji, K. Arthi
openaire   +1 more source