Results 221 to 230 of about 20,859 (261)
Organoid Brain‐Machine‐Interface Devices for Central Nervous System Repair
Advanced Science, EarlyView.We envision organoid brain‐machine‐interface (Organoid‐BMI) devices as new biohybrid bidirectional communication pathways to connect the human CNS and the external world for personalized CNS repair and regeneration. ABSTRACT Central nervous system (CNS) repair and regeneration suffer from tremendous clinical challenges due to current limitations in ...
Yantao Xing +10 more
wiley +1 more source
Advanced Science, EarlyView.Palatable food alleviates stress and prevents anxiety. This study uncovers a dedicated neural pathway: dopamine release in the PFC activates D1R neurons, whose projections to the peri‐PVN engage a population of anxiolytic CRFR1 neurons. These neurons then inhibit stress‐induced hyperactivity of PVNCRF neurons, providing a circuit‐level explanation for ...
Yuchuan Hong +12 more
wiley +1 more source
Making Sweat Measurable: Induction, Sampling, and Refreshment in Wearable Biofluid Sensing
Advanced Science, EarlyView.Wearable sweat sensing relies not only on chemical detection but also on controlled biofluid management. This Review integrates sweat physiology, induction strategies, and microfluidic sampling architectures, demonstrating how flux, transport, and refreshment shape measurement reliability.
Soyoung Shin, Wei Gao
wiley +1 more source
FC-TFS-CGRU: A Temporal-Frequency-Spatial Electroencephalography Emotion Recognition Model Based on Functional Connectivity and a Convolutional Gated Recurrent Unit Hybrid Architecture. [PDF]
Sensors (Basel)Wu X, Zhang Y, Li J, Yang H, Wu X.
europepmc +1 more source
Minimal gated unit for recurrent neural networks [PDF]
International Journal of Automation and Computing, 2016 Recently recurrent neural networks (RNN) has been very successful in handling sequence data. However, understanding RNN and finding the best practices for RNN is a difficult task, partly because there are many competing and complex hidden units (such as LSTM and GRU).
Guo-Bing Zhou +2 more
exaly +3 more sources
Some of the next articles are maybe not open access.
Related searches:
Related searches:
Arabic Diacritization with Gated Recurrent Unit
Proceedings of the International Conference on Learning and Optimization Algorithms: Theory and Applications, 2018Arabic and similar languages require the use of diacritics in order to determine the necessary parameters to pronounce and identify every part of the speech correctly. Therefore, when it comes to perform Natural Language Processing (NLP) over Arabic, diacritization is a crucial step.
Rajae Moumen +3 more
openaire +1 more source
Plant Classification Based on Gated Recurrent Unit [PDF]
, 2018 Classification of plants based on a multi-organ approach is very challenging due to the variability in shape and appearance in plant organs. Despite promising solutions built using convolutional neural network (CNN) for plant classification, the existing approaches do not consider the correspondence between different views captured of a plant. In fact,
Sue Han Lee +5 more
openaire +1 more source
Gated Recurrent Units for Intrusion Detection
2019As the arms race between the new kinds of attacks and new ways to detect and prevent those attacks continues, better and better algorithms have to be developed to stop the malicious agents dead in their tracks. In this paper, we evaluate the use of one of the youngest additions to the deep learning architectures, the Gated Recurrent Unit for its ...
Marek Pawlicki +3 more
openaire +1 more source
A Gated Recurrent Unit based Echo State Network
2020 International Joint Conference on Neural Networks (IJCNN), 2020Echo State Network (ESN) is a fast and efficient recurrent neural network with a sparsely connected reservoir and a simple linear output layer, which has been widely used for real-world prediction problems. However, the capability of the ESN of handling complex nonlinear problems is limited by the relatively simple neuronal dynamics in the reservoir ...
Wang, Xinjie +2 more
openaire +3 more sources
Attention-Based Gated Recurrent Unit for Gesture Recognition
IEEE Transactions on Automation Science and Engineering, 2021Gesture recognition becomes a thriving research area in modern human motion recognition systems. The intensification of demands on efficient interactive human–machine-interface systems, commercial objectives, and many other factors contributes to fuel this revival dynamics.
Khodabandelou, Ghazaleh +3 more
openaire +1 more source