Accès ouvert
2026
article
OpenAlex
Han Diao, Chongjie Ye, Lishi Deng, Yuan Li et autres
Abstract A series of Ir(III) complexes targeting lysosomes and bearing an imino ortho phenylene HClO recognition unit was developed for selective HClO imaging. In these probes, electrophilic addition triggered by HClO at the recognition unit modulates emission from the Ir(III) coordination core, …
cn
(code pays fourni par la source)
Accès ouvert
2026
article
OpenAlex
Yi Yu, Qibao Zheng, Wenlian Lu
Large-scale spiking neural network simulation requires numerical integration that preserves membrane dynamics and spike timing without making fine-resolution updates prohibitively expensive. This balance is difficult for conductance-based leaky integrate-and-fire (LIF) networks because synaptic decay, threshold crossings, resets, and refractory periods form a …
Accès ouvert
2026
preprint
OpenAlex
Yunman Xia, Songjun Peng, Juergen Dukart, Y. Xie et autres
Linking synaptic-level perturbations to distributed brain-network dynamics remains a central challenge for understanding and treating mental illness. Although recent whole-brain models can reproduce individual brain activity patterns, they largely function as descriptive simulators rather than mechanistic, intervention-capable systems. Here we present an …
de, cn, hk, fr, gb, ch, nz, ie, nl
(code pays fourni par la source)
2025
article
OpenAlex
Yupei Yang, Di Wu, Juyun He, Qibao Zheng et autres
cn
(code pays fourni par la source)
Accès ouvert
2025
article
OpenAlex
Mingcheng Wang, Huixi Yi, Qibao Zheng, Muhammad Adnan Younis et autres
The high metastatic rate of breast tumor is the prominent reason of its poor prognosis, while the inflammatory microenvironment of tumor tissues further promoted tumor metastasis. Although photothermal therapy (PTT) displays high antitumor efficacy, the rise of inflammation-induced reactive oxygen species (ROS) …
cn, us
(code pays fourni par la source)
Accès ouvert
2025
article
OpenAlex
Jun-Hsiang Yao, Mingzheng Li, Jiayi Liu, Yuxiao Li et autres
The Digital Twin Brain (DTB) is an advanced artificial intelligence framework that integrates spiking neurons to simulate complex cognitive functions and collaborative behaviors. For domain experts, visualizing the DTB's simulation outcomes is essential to understanding complex cognitive activities. However, this task poses …
cn, us, hk
(code pays fourni par la source)
Accès ouvert
2024
article
OpenAlex
Wenlian Lu, Xin Du, Jiexiang Wang, Longbin Zeng et autres
cn, gb
(code pays fourni par la source)
2024
article
OpenAlex
Xin Du, Zhihui Lu, Yang Ji-rui, Shih-Chia Huang et autres
cn, tw
(code pays fourni par la source)
Accès ouvert
2024
preprint
OpenAlex
Jianfeng Feng, Wenlian Lu, Longbin Zeng, Jiexiang Wang et autres
cn, gb
(code pays fourni par la source)
Accès ouvert
2024
article
OpenAlex
Wenlian Lu, Longbin Zeng, Jiexiang Wang, Shitong Xiang et autres
A computational human brain model with the voxel-wise assimilation method was established based on individual structural and functional imaging data. We found that the more similar the brain model is to the biological counterpart in both scale and architecture, the more similarity …
cn, gb
(code pays fourni par la source)
Accès ouvert
2023
preprint
OpenAlex
Wenlian Lu, Longbin Zeng, Xin Du, Wenyong Zhang et autres
In this work, we present a computing platform named digital twin brain (DTB) that can simulate spiking neuronal networks of the whole human brain scale and more importantly, a personalized biological brain structure. In comparison to most brain simulations with a homogeneous …
Accès ouvert
2023
article
OpenAlex
Yuxiao Li, Xinhong Li, Siqi Shen, Longbin Zeng et autres
The digital twin brain (DTB) computing model from brain-inspired computing research is an emerging artificial intelligence technique, which is realized by a computational modeling approach of hardware and software. It can achieve various cognitive abilities and their synergistic mechanisms in a manner …
cn
(code pays fourni par la source)