Biological intelligence processes information using impulses or spikes, which makes those
living creatures able to perceive and act in the real world exceptionally well and outperform …

Spiking neural networks (SNNs) are promising in ascertaining brain-like behaviors since
spikes are capable of encoding spatio-temporal information. Recent schemes, eg, pre …

Optimization Spiking Neural P System (OSNPS) is the first membrane computing model to
directly derive an approximate solution of combinatorial problems with a specific reference …

Spiking neural networks (SNNs) can be used in low-power and embedded systems eg
neuromorphic chips due to their event-based nature. They preserve conventional artificial …

Recent studies have shown that biologically inspired Spiking Neural Networks (SNNs) has
potentials for the mobile robot controls. Based on SNNs, an autonomous learning paradigm …

Spiking neural networks (SNNs) offer many advantages over traditional artificial neural
networks (ANNs) such as biological plausibility, fast information processing, and energy …

Outdoor augmented reality geographic information system (ARGIS) is the hot application of
augmented reality over recent years. This paper concludes the key solutions of ARGIS …

类脑脉冲神经网络(SNN) 由于同时具有生物合理性和计算高效性等特点, 因而在生物模拟计算和
人工智能应用两个方向都受到了广泛关注. 该文通过对SNN 发展历史演进的分析 …

Over the years, many state-of-the-art technologies have reinforced safety in the high-speed
railway driving process. However, the accident rate has not dropped significantly with the …

Spiking neural networks (SNNs) are gaining popularity in the computational simulation and
artificial intelligence fields owing to their biological plausibility and computational efficiency …