Results 221 to 230 of about 1,630,780 (295)

Synapse Elimination Triggered by BMP4 Exocytosis and Presynaptic BMP Receptor Activation.

Cell Reports, 2018
Takahito Higashi, Shinji Tanaka, T. Iida, S. Okabe   +3 more
semanticscholar   +1 more source

T Cell Exhaustion in Cancer Immunotherapy: Heterogeneity, Mechanisms, and Therapeutic Opportunities

Advanced Science, EarlyView.
T cell exhaustion limits immunotherapy efficacy. This article delineates its progression from stem‐like to terminally exhausted states, governed by persistent antigen, transcription factors, epigenetics, and metabolism. It maps the exhaustion landscape in the TME and proposes integrated reversal strategies, providing a translational roadmap to overcome
Yang Yu, Xiaoyu Yao, Qingyang Wang, Mengrui Yang, Runze Li, Jiangjiang Qin, Jing Zhuang, Changgang Sun   +7 more
wiley   +1 more source

Non‐Volatile Phase Modulation with Ultralow Energy Consumption Enabled by 2D Ferroelectric/TMD Heterostructures

Advanced Science, EarlyView.
We demonstrate a hybrid WS2/CuInP2S6/graphene heterostructure integrated on a silicon nitride microring resonator for non‐volatile optical phase modulation with ultra‐low energy consumption and low insertion loss. While CIPS alone does not provide efficient optical index modulation, the engineered proposed device structure converts ferroelctric domain ...
Lalit Singh, Shi Guo, Yuhui Yang, Sholehin Juperi, Rui Yu, Xiangxin Gong, Jeremy Leong, Sung‐Gyu Lee, Qingyun Wu, Lay Kee Ang, Sang Hoon Chae   +10 more
wiley   +1 more source

Neuregulin1 displayed on motor axons regulates terminal Schwann cell-mediated synapse elimination at developing neuromuscular junctions

Proceedings of the National Academy of Sciences of the United States of America, 2016
Young il Lee, Yue Li, M. Mikesh, Ian Smith, K. Nave, M. Schwab, W. Thompson   +6 more
semanticscholar   +1 more source

Analog Signal Summation for Reinforcement Learning via Simultaneous Light–Voltage Modulation in a Synaptic Device

Advanced Science, EarlyView.
To overcome limitations of conventional AI hardware, a light‐voltage dual‐modulating synaptic (LVDS) transistor using an IGZO/InAs quantum dot hybrid structure is proposed. LVDS transistor enables analog summation for Dueling Deep Q‐Networks by independently modulating memory via optical and electrical stimuli.
Dong Gue Roe, Sungjoon Cheon, Seongil Im, Sinil Choi, Meeree Kim, Subeen Kim, Youngjae Yoo, Jeong Won Kim, Hyunsu Ju, Sohee Jeong, Jeong Ho Cho   +10 more
wiley   +1 more source

Territories of heterologous inputs onto Purkinje cell dendrites are segregated by mGluR1-dependent parallel fiber synapse elimination

Proceedings of the National Academy of Sciences of the United States of America, 2016
R. Ichikawa, K. Hashimoto, T. Miyazaki, M. Uchigashima, Miwako Yamasaki, A. Aiba, M. Kano, Masahiko Watanabe   +7 more
semanticscholar   +1 more source

Single‐Crystal PZT‐Driven Organic Piezo‐Phototronic Adaptive Transistors Toward Advanced Spatiotemporal Visual Computing

Advanced Science, EarlyView.
Here, we propose a single‐crystal PZT‐based piezo‐phototronic organic adaptive memory transistor (OAMT), achieving a record memory window capacity factor (γ) of 0.87 at a low SS of 200 mV/decade via efficient multi‐field control. The device achieves a high recognition accuracy ∼ 90% in neuromorphic simulations, demonstrates robust fault tolerance under
Chenhao Xu, Xingyu Cao, Zewen Li, Shifu Xiong, Yongxu Hu, Zhongwu Wang, Yujie Yuan, Lei Zheng, Wenping Hu   +8 more
wiley   +1 more source

Engineering Immune Cell to Counteract Aging and Aging‐Associated Diseases

Advanced Science, EarlyView.
This review highlights a paradigm shift in which advanced immune cell therapies, initially developed for cancer, are now being harnessed to combat aging. By engineering immune cells to selectively clear senescent cells and remodel pro‐inflammatory tissue microenvironments, these strategies offer a novel and powerful approach to delay age‐related ...
Jianhua Guo, Lanjie Lei, Ying Jin, Lan Su, Shumao Cui, Liyun Shi   +5 more
wiley   +1 more source

In Situ Quantization with Memory‐Transistor Transfer Unit Based on Electrochemical Random‐Access Memory for Edge Applications

Advanced Science, EarlyView.
By combining ionic nonvolatile memories and transistors, this work proposes a compact synaptic unit to enable low‐precision neural network training. The design supports in situ weight quantization without extra programming and achieves accuracy comparable to ideal methods. This work obtains energy consumption advantage of 25.51× (ECRAM) and 4.84× (RRAM)
Zhen Yang, Yuxiang Yang, Baiqian Wang, Yaoyu Tao, Zelun Pan, Lei Cai, Teng Zhang, Longhao Yan, Xianbin Li, Yuchao Yang   +9 more
wiley   +1 more source