The nervous systems converts the physical quantities sensed by its primary receptors into
trains of events that are then processed in the brain. The unmatched efficiency in information …

The Parkinson's disease (PD) is one of the widely seen and most important neurological
disorders worldwide. With the development of the technology, many machine learning …

Infrared image processing is important for fault identification of high-voltage equipment. This
paper studies the problem on the edge detection of infrared image. First a kind of spiking …

The automatic speech recognition based on detection of phonemes provides advantages for
online recognition of a speech represented by a sound signal. The development of a system …

Spiking Neural Network (SNN), the third generation of neural networks, has been shown to
perform well in pattern recognition tasks involving temporal information, such as speech …

Pitch is an essential category for musical sensations. Models of pitch perception are vividly
discussed up to date. Most of them rely on definitions of mathematical methods in the …

From image recognition to automated driving, machine learning nowadays is all around us
and impacts various aspects of our daily lives. This disruptive technology is rapidly evolving …

In this work, a bioinspired or neuromorphic model to replicate the vowel recognition process
for an auditory system is presented. A bioinspired peripheral and central auditory system …

Neuromorphic engineering is a growing and promising discipline nowadays. Neuro-
inspiration and brain understanding applied to solve engineering problems is boosting new …

Spiking Neuron Network (SNN) uses spike sequence for data processing, so it has an
excellent characteristic of low power consumption. However, due to the immaturity of …