Image edge detection with a photonic spiking VCSEL-neuron
نویسندگان
چکیده
منابع مشابه
Image Segmentation with Spiking Neuron Network
The process of segmenting images is one of the most critical ones in automatic image analysis whose goal can be regarded as to find what objects are presented in images. Artificial neural networks have been well developed. First two generations of neural networks have a lot of successful applications. Spiking Neuron Networks (SNNs) are often referred to as the 3 generation of neural networks wh...
متن کاملImage Processing with Spiking Neuron Networks
Artificial neural networks have been well developed so far. First two generations of neural networks have had a lot of successful applications. Spiking Neuron Networks (SNNs) are often referred to as the third generation of neural networks which have potential to solve problems related to biological stimuli. They derive their strength and interest from an accurate modeling of synaptic interacti...
متن کاملAsynchronous spiking photonic neuron for lightwave neuromorphic signal processing.
We developed an asynchronous spiking photonic neuron that forms the basic building block for hybrid analog/digital lightwave neuromorphic processing. Our approach enables completely asynchronous spiking in response to input signals while maximizing the throughput relative to synchronous approaches. Asynchronous operation is achieved by generating the spike source for the photonic neuron through...
متن کاملComputing with Spiking Neuron Networks A Review
Spiking Neuron Networks (SNNs) are often referred to as the third generation of neural networks. Highly inspired from natural computing in the brain and recent advances in neurosciences, they derive their strength and interest from an accurate modeling of synaptic interactions between neurons, taking into account the time of spike firing. SNNs overcome the computational power of neural networks...
متن کاملCoherence detection in a spiking neuron via Hebbian learning
It is generally assumed that neurons in the central nervous system communicate through temporal £ring patterns. As a £rst step, we will study the learning of a layer of realistic neurons in the particular case where the relevant messages are formed by temporally correlated patterns, or syn£re patterns. The model is a layer of Integrate-and-Fire (IF) neurons with synaptic current dynamics that a...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Optics Express
سال: 2020
ISSN: 1094-4087
DOI: 10.1364/oe.408747