Results 141 to 150 of about 21,684 (244)

Editorial: Theoretical advances and practical applications of spiking neural networks, volume II. [PDF]

Front Neurosci
Di Caterina G, Zhang M, Liu J.
europepmc   +1 more source

An On‐Demand Neuromorphic Vision System Enabled by a Multi‐Paradigm Neuromorphic Device and Hierarchical Reconfigurability Designed from Device to System Level

Advanced Science, EarlyView.
An on‐demand ultra‐reconfigurable intelligent vision system with hierarchical reconfigurability from device to system levels is demonstrated. Through co‐design of a multi‐paradigm device, reconfigurable circuits, and adaptive system architecture/algorithms, the system enables seamless switching among spiking, non‐spiking, neuromorphic imaging (NI), and
Biyi Jiang, Jiayi Xu, Liang Ran, Xinhe Feng, Khalil Harrabi, Yida Li, Longyang Lin, Feichi Zhou   +7 more
wiley   +1 more source

Enhancing time scalability of spiking neural networks with dynamic time constants. [PDF]

Sci Rep
Hirano T, Kutsuzawa K, Owaki D, Hayashibe M.   +3 more
europepmc   +1 more source

Biocompatible Magnetopyroelectric Composite Films for Cell Stimulation

Advanced Science, EarlyView.
Magnetopyroelectric films couple Fe3O4 nanoparticles with pyroelectric P(VDF‐TrFE) to turn alternating magnetic fields into controlled heat and pyroelectric currents. This heavy‐metal free platform safely boosts neural progenitor cells differentiation via synergistic thermal and pyroelectrical cues, engages AKT and calcium pathways, and opens practical
Hao Ye, Joaquin Llacer‐Wintle, Semih Sevim, Elric Zhang, Denis von Arx, Lukas Hertle, Martina Accursi, Minsoo Kim, Josep Puigmartí‐Luis, Bradley J. Nelson, Xiang‐Zhong Chen, Salvador Pané   +11 more
wiley   +1 more source

Spiking Neural Networks in Imaging: A Review and Case Study. [PDF]

Sensors (Basel)
Voudaskas M, MacLean JI, Dutton NAW, Stewart BD, Gyongy I.   +4 more
europepmc   +1 more source

Advancing Precision Nutrition Through Multimodal Data and Artificial Intelligence

Advanced Science, EarlyView.
Individual responses to food vary dramatically, challenging traditional dietary advice. This review explores how the unique genetic makeup, gut microbiome, and brain activity shape host metabolic health. We examine how artificial intelligence integrates these multimodal data to predict individualized dietary needs, moving beyond one‐size‐fits‐all ...
Yuanqing Fu, Ke Zhang, Zelei Miao, Gaoyi Yang, Yujing Huang, Ju‐Sheng Zheng   +5 more
wiley   +1 more source

Portfolio Optimization: A Neurodynamic Approach Based on Spiking Neural Networks. [PDF]

Biomimetics (Basel)
Khan AH, Mohammed AM, Li S.
europepmc   +1 more source

Persistently Increased Expression of PKMzeta and Unbiased Gene Expression Profiles Identify Hippocampal Molecular Traces of a Long‐Term Active Place Avoidance Memory and “Shadow” Proteins

Advanced Science, EarlyView.
Protein complexes like KIBRA‐PKMζ are crucial for maintaining memories, forming month‐long protein traces in memory‐tagged neurons, but conventional RNA‐seq analysis fails to detect their transcript changes, leaving memory molecules undetected in the shadows of abundantly‐expressed genes.
Jiyeon Han, Alejandro Grau‐Perales, Rayna M. Harris, Edith Lesburguères, Hsin‐Yi Kao, Asit Pal, Juan Marcos Alarcon, Todd C. Sacktor, Stefano Martiniani, Hans A. Hofmann, André A. Fenton   +10 more
wiley   +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

Deep Spiking Neural Networks

, 2018
Neuromorphic Engineering (NE) has led to the development of biologically-inspired computer architectures whose long-term goal is to approach the performance of the human brain in terms of energy efficiency and cognitive capabilities. Although there are a number of neuromorphic platforms available for large-scale Spiking Neural Network (SNN) simulations,
openaire   +1 more source