Journal Add SNN Field For Free

By T Iakymchuk · 2015 · Cited by 117 ? Spiking neural networks (SNN) have gained popularity in embedded ... Frequency spike coding based on receptive fields is used for data ... By Y Guo · 2023 ? The spiking neural network (SNN), as a promising brain-inspired computational model with binary spike information transmission mechanism, ... By W Guo · 2021 · Cited by 109 ? In this case, the SNN was trained offline without any synaptic noise. The well-trained weights were quantized with the SR method and mapped onto ... By M Yao · 2023 · Cited by 13 ? Brain-inspired spiking neural networks (SNNs) are becoming a promising energy-efficient alternative to traditional artificial neural ... By J Chen · 2022 · Cited by 5 ? This article constructs a complete SAR image classifier based on unsupervised and supervised learning of SNN by using spike sequences with complex spatio- ... SSRN provides 1,254,337 research papers from 1,335,227 researchers in 70 disciplines. Coronavirus and Race & Social Inequality Banner. By Q Fu ? This paper verifies the effectiveness of the proposed methods on static datasets and neuromorphic datasets and extends it to the recognition of breast tumors. By K Youssef · 2023 · Cited by 1 ? According to our SNN model results, the most important, controlling features for landslides in this area are the product of slope and MAP (N-S ... By C Casellato · 2014 · Cited by 77 ? We have coupled a realistic cerebellar spiking neural network (SNN) with a real robot and challenged it in multiple diverse sensorimotor tasks. By A Brim · 2022 · Cited by 5 ? Utilizing a Convolutional Neural Network (CNN) with candlestick images as ... PLoS ONE 17(2): e0263181. doi:10.1371/journal.pone.0263181.