Results 141 to 150 of about 60,411 (286)

Mechanostimulatory Cues Determine Intestinal Fibroblast Fate and Profibrotic Remodeling in a Physiodynamic Human Gut‐on‐a‐Chip

Advanced Science, EarlyView.
A healthy gut barrier shields underlying fibroblasts from luminal shear forces, illustrating that “good fences make good neighbors.” Barrier damage exposes fibroblasts to shear stress, inducing cell death and the emergence of stress‐adapted, profibrotic fibroblasts. Sustained shear exposure promotes the formation of stiff aggregates of mechanoadapative
Soyoun Min, Nam Than, Yong Cheol Shin, Elif G. Ertugral, Chandrasekhar R. Kothapalli, Olumuyiwa Awoniyi, Hyun Jung Kim   +6 more
wiley   +1 more source

Ternary Spike: Learning Ternary Spikes for Spiking Neural Networks

Proceedings of the AAAI Conference on Artificial Intelligence
The Spiking Neural Network (SNN), as one of the biologically inspired neural network infrastructures, has drawn increasing attention recently. It adopts binary spike activations to transmit information, thus the multiplications of activations and weights can be substituted by additions, which brings high energy efficiency.
Yufei Guo, Yuanpei Chen, Xiaode Liu, Weihang Peng 0001, Yuhan Zhang 0006, Xuhui Huang, Zhe Ma 0001   +6 more
openaire   +2 more sources

Fibronectin1‐Expressing Subicular Circuits Selectively Govern the Retrieval of Novel Object Recognition

Advanced Science, EarlyView.
Fibronectin 1 (FN1)‐expressing subicular subpopulations encode novel object preference and selectively govern retrieval of novel object recognition (NOR) via affecting excitability of entorhinal‐projecting circuit through large conductance Ca2+‐activated potassium (BK) channel. ABSTRACT Novel object recognition (NOR), referring to the cognitive ability
Fan Fei, Jiaying Shi, Jing Xi, Yixiang Xu, Shuye Ying, Xukun Fan, Wangjialu Lu, Zhisheng Li, Menghan Li, Yu Wang, Li Cheng, Lin Yang, Lingyu Xu, Zhong Chen, Cenglin Xu, Yi Wang   +15 more
wiley   +1 more source

Structural Eigenmodes of the Brain to Improve the Source Localization of EEG: Application to Epileptiform Activity

Advanced Science, EarlyView.
Geometry and connectivity are complementary structures, which have demonstrated their ability to represent the brain's functional activity. This study evaluates geometric and connectome eigenmodes as biologically informed constraints for EEG source localization.
Pok Him Siu, Philippa J. Karoly, Sina Mansour L., Artemio Soto‐Breceda, Levin Kuhlmann, Mark J. Cook, David B. Grayden   +6 more
wiley   +1 more source

Temporal dendritic heterogeneity incorporated with spiking neural networks for learning multi-timescale dynamics

Nature Communications
It is widely believed the brain-inspired spiking neural networks have the capability of processing temporal information owing to their dynamic attributes. However, how to understand what kind of mechanisms contributing to the learning ability and exploit
Hanle Zheng, Zhong Zheng, Rui Hu, Bo Xiao, Yujie Wu, Fangwen Yu, Xue Liu, Guoqi Li, Lei Deng   +8 more
doaj   +1 more source

Genome‐Wide Association Study Reveals Insect Genetics and Microbial Symbiont Effects on Susceptibility of Diaphorina citri to the Citrus Greening Pathogen, Candidatus Liberibacter Asiaticus

Advanced Science, EarlyView.
This study investigates the genetic and microbial factors influencing the susceptibility of Diaphorina citri to the citrus greening pathogen Candidatus Liberibacter asiaticus (CLas), employing a microbiome Genome Wide Association Study. The research identifies a key gene encoding an MFS‐type transporter contributing to CLas infectivity and abundance in
Kai Liu, Qingcui He, Zeyue Lin, Shixuan Huang, Zichun Zhong, Pingyang Zhu, Mengge Gao, Luyao Zhao, Han Jin, Guiting Wu, Gurr M. Geoff, Qunxin Han, Rui Pang   +12 more
wiley   +1 more source

Linearizing and Forecasting: A Reservoir Computing Route to Digital Twins of the Brain

Advanced Science, EarlyView.
A new approach uses simple neural networks to create digital twins of brain activity, capturing how different patterns unfold over time. The method generates and recovers key dynamics even from noisy data. When applied to fMRI, it predicts brain signals and reveals distinctive activity patterns across regions and individuals, opening possibilities for ...
Gabriele Di Antonio, Tommaso Gili, Andrea Gabrielli, Maurizio Mattia   +3 more
wiley   +1 more source

Training multi-layer spiking neural networks with plastic synaptic weights and delays

Frontiers in Neuroscience
Spiking neural networks are usually considered as the third generation of neural networks, which hold the potential of ultra-low power consumption on corresponding hardware platforms and are very suitable for temporal information processing. However, how
Jing Wang
doaj   +1 more source

Organ‐Specific and Conserved Regulatory Logic Orchestrates Gene Expression in the Embryonic Mesothelium

Advanced Science, EarlyView.
Integrated multi‐omic profiling maps the gene‐regulatory landscape of the coelomic mesothelium across heart, lung, and pancreas. A cardiac‐restricted regulatory program is uncovered in which TBX20 activates heart mesothelial (epicardial) cis‐regulatory elements, while MAF emerges as a conserved regulator of mesothelial identity.
Quang Minh Dang, Nicola Smart, Andia Nicole Redpath, Joaquim Miguel Vieira   +3 more
wiley   +1 more source

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