BioLCNet: Reward-Modulated Locally Connected Spiking Neural Networks
Brain-inspired computation and information processing alongside compatibility with
neuromorphic hardware have made spiking neural networks (SNN) a promising method for …
neuromorphic hardware have made spiking neural networks (SNN) a promising method for …
Unsupervised STDP-based Radioisotope Identification Using Spiking Neural Networks Implemented on SpiNNaker
This paper presents a spiking neural network (SNN) implementation which employs
unsupervised feature extraction using spike timing dependent plasticity (STDP) to classify 8 …
unsupervised feature extraction using spike timing dependent plasticity (STDP) to classify 8 …
Energy-Efficient Neuromorphic Computing Systems
W Guo - 2023 - repository.kaust.edu.sa
Neuromorphic computing has emerged as a new and promising computing principle that
emulates how human brains process information. The underlying spiking neural networks …
emulates how human brains process information. The underlying spiking neural networks …