Results 191 to 200 of about 852,410 (222)
Cardiac Organoid Model Inspired Micro‐Robot Smart Patch to Treat Myocardial Infarction
Advanced Materials, EarlyView.The heart organoid model exhibits the acidic microenvironment characteristic of myocardial infarction, which emerges as a pivotal force propelling the movement of micro‐robots. These micro‐robots, administered through microneedles, can penetrate deep into the tissue, effectively delivering therapeutic payloads to facilitate heart repair.
Fangfang Wang +12 more
wiley +1 more source
Advanced Materials, EarlyView.This review highlights recent progress in piezoelectric materials for regenerative medicine, emphasizing their ability to convert mechanical stimuli into bioelectric signals that promote tissue repair. Key discussions cover the intrinsic piezoelectric properties of biological tissues, co‐stimulation cellular mechanisms for tissue regeneration, and ...
Xinyu Wang +3 more
wiley +1 more source
Advanced Materials, EarlyView.A multifunctional memristor is demonstrated for in‐memory sensing and computing, leveraging a MoWS₂/VOx heterojunction to enable high ON/OFF ratio up to 10⁸ with ultralow operating voltages of ±0.2 V. This bio‐inspired multimodal design exhibits tunable synaptic behavior across electrical, optical, and humidity stimuli, enabling in situ modulation of ...
Abdul Momin Syed +8 more
wiley +1 more source
Fast‐Charging Solid‐State Li Batteries: Materials, Strategies, and Prospects
Advanced Materials, EarlyView.This review addresses challenges and recent advances in fast‐charging solid‐state batteries, focusing on solid electrolyte and electrode materials, as well as interfacial chemistries. The role of multiscale modeling and simulation in understanding Li+ transport and interfacial phenomena is emphasized, providing insights into materials, strategies, and ...
Jing Yu +7 more
wiley +1 more source
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Computing with neural networks
IEEE Potentials, 1993The resurgence of interest in neural networks is discussed. This interest is prompted by two facts. First, the nervous systems of simple animals can easily solve problems that are very difficult for conventional computers. Second, the ability to model biological nervous system functions using man-made machines increases understanding of that biological
M. Mazzara, Matthew N. O. Sadiku
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Proceedings of ICNN'95 - International Conference on Neural Networks, 2002
In this paper, we discuss an approach for designing the computational neural network, which is mainly composed of a hardlimiter neuron, a updated neuron, and a search function neuron, to solve some computational problems. The computation-by-search scheme can effectively solve some complicated problems in the condition that their search functions can be
Chi-Ming Chen, Jar-Ferr Yang
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In this paper, we discuss an approach for designing the computational neural network, which is mainly composed of a hardlimiter neuron, a updated neuron, and a search function neuron, to solve some computational problems. The computation-by-search scheme can effectively solve some complicated problems in the condition that their search functions can be
Chi-Ming Chen, Jar-Ferr Yang
openaire +2 more sources
Neural Networks in Computer Intelligence
Technometrics, 1995(1995). Neural Networks in Computer Intelligence. Technometrics: Vol. 37, No. 4, pp. 470-470.
Eric R. Ziegel, L. Fausett, L. Fu
openaire +4 more sources
1992
Research on neural network modeling has a long history. Neurobiologists have discovered individual nerve cells existing in the brain and learned how neurons carry information, transmit information, and respond to various stimuli. Based on the understanding of the nervous system, many neural networks have been proposed by researchers.
Rama Chellappa, Yi-Tong Zhou
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Research on neural network modeling has a long history. Neurobiologists have discovered individual nerve cells existing in the brain and learned how neurons carry information, transmit information, and respond to various stimuli. Based on the understanding of the nervous system, many neural networks have been proposed by researchers.
Rama Chellappa, Yi-Tong Zhou
openaire +2 more sources
2007
Brain function remains one of the most elusive and fascinating phenomena challenging modem science (Churchland, 1986). Although a lot is already known about the neuron and its functional characteristics, when we address the information-processing capabilities of a neural assembly, called here the mesoscopic description (Freeman, 1975), more often than ...
Walter J. Freeman +7 more
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Brain function remains one of the most elusive and fascinating phenomena challenging modem science (Churchland, 1986). Although a lot is already known about the neuron and its functional characteristics, when we address the information-processing capabilities of a neural assembly, called here the mesoscopic description (Freeman, 1975), more often than ...
Walter J. Freeman +7 more
openaire +2 more sources
Future Generation Computer Systems, 1991
Abstract In this paper, we give a general presentation of neural networks, showing their links and differences with Artificial Intelligence and neurosciences. We provide the general formalism of neural networks and describe two neural networks learning algorithms: gradient backpropagation and learning vector quantization.
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Abstract In this paper, we give a general presentation of neural networks, showing their links and differences with Artificial Intelligence and neurosciences. We provide the general formalism of neural networks and describe two neural networks learning algorithms: gradient backpropagation and learning vector quantization.
openaire +2 more sources