This paper presents a neuromorphic processing system with a spike-driven spiking neural
network (SNN) processor design for always-on wearable electrocardiogram (ECG) …

The spiking neural network (SNN) is a possible pathway for low-power and energy-efficient
processing and computing exploiting spiking-driven and sparsity features of biological …

As the scales of neural networks increase, techniques that enable them to run with low
computational cost and energy efficiency are required. From such demands, various efficient …

Synaptic plasticity plays a critical role in the expression power of brain neural networks.
Among diverse plasticity rules, synaptic scaling presents indispensable effects on …

Rank-order coding, a form of temporal coding, has emerged as a promising scheme to
explain the rapid ability of the mammalian brain. Owing to its speed as well as efficiency …

摘要随着深度学习在训练成本, 泛化能力, 可解释性以及可靠性等方面的不足日益突出,
类脑计算已成为下一代人工智能的研究热点. 脉冲神经网络能更好地模拟生物神经元的信息传递 …

Hand gesture recognition has emerged in recent years as a robust method in non-contact
human-computer interfaces, especially in the application scenario of the Internet of Things …

This paper presents an electroencephalogram (EEG) signals decoding method based on an
event-driven spiking neural network (SNN) model design for steady-state visual evoked …

Impulse Radio Ultra-Wideband (IR-UWB) is a wireless carrier communication technology
using nanosecond non-sinusoidal narrow pulses to transmit data. Therefore, the IR-UWB …