Zobrazeno 1 - 10
of 244
pro vyhledávání: '"spiking network"'
Publikováno v:
Frontiers in Neuroscience, Vol 18 (2024)
Spiking neural networks (SNNs) have garnered significant attention due to their notable energy efficiency. However, conventional SNNs rely on spike firing frequency to encode information, necessitating a fixed sampling time and leaving room for furth
Externí odkaz:
https://doaj.org/article/e1b7ac2e2bee4628a390034b6a0d507f
Autor:
David A Crowe, Andrew Willow, Rachael K Blackman, Adele L DeNicola, Matthew V Chafee, Bagrat Amirikian
Publikováno v:
eLife, Vol 13 (2024)
Schizophrenia results in part from a failure of prefrontal networks but we lack full understanding of how disruptions at a synaptic level cause failures at the network level. This is a crucial gap in our understanding because it prevents us from disc
Externí odkaz:
https://doaj.org/article/0cd1df45f8d343a897db6c784e7b3a2b
Publikováno v:
Frontiers in Computational Neuroscience, Vol 17 (2023)
IntroductionInformation transmission and representation in both natural and artificial networks is dependent on connectivity between units. Biological neurons, in addition, modulate synaptic dynamics and post-synaptic membrane properties, but how the
Externí odkaz:
https://doaj.org/article/5c28b568578d4a1d8cee01e51781dcd9
Publikováno v:
Frontiers in Computational Neuroscience, Vol 16 (2023)
IntroductionWorking memory (WM) plays a key role in many cognitive processes, and great interest has been attracted by WM for many decades. Recently, it has been observed that the reports of the memorized color sampled from a uniform distribution are
Externí odkaz:
https://doaj.org/article/950429dd83d3495eb818b4becd817c0b
Autor:
Zihao Zhao, Yanhong Wang, Qiaosha Zou, Tie Xu, Fangbo Tao, Jiansong Zhang, Xiaoan Wang, C.-J. Richard Shi, Junwen Luo, Yuan Xie
Publikováno v:
Frontiers in Neuroscience, Vol 16 (2022)
Action recognition is an exciting research avenue for artificial intelligence since it may be a game changer in emerging industrial fields such as robotic visions and automobiles. However, current deep learning (DL) faces major challenges for such ap
Externí odkaz:
https://doaj.org/article/37343ad3ba0c4c60ab877c7194dac682
Publikováno v:
Frontiers in Neuroscience, Vol 16 (2022)
This article conforms to a recent trend of developing an energy-efficient Spiking Neural Network (SNN), which takes advantage of the sophisticated training regime of Convolutional Neural Network (CNN) and converts a well-trained CNN to an SNN. We obs
Externí odkaz:
https://doaj.org/article/2403628868cb4f80a7707b02d32a8958
Autor:
Xuan Chen, Xiaopeng Yuan, Gaoming Fu, Yuanyong Luo, Tao Yue, Feng Yan, Yuxuan Wang, Hongbing Pan
Publikováno v:
Frontiers in Computational Neuroscience, Vol 15 (2021)
Convolutional Neural Networks (CNNs) are effective and mature in the field of classification, while Spiking Neural Networks (SNNs) are energy-saving for their sparsity of data flow and event-driven working mechanism. Previous work demonstrated that C
Externí odkaz:
https://doaj.org/article/f85221ac2eca4194bc8a612059edd221
Publikováno v:
Frontiers in Neuroscience, Vol 15 (2021)
Any large-scale spiking neuromorphic system striving for complexity at the level of the human brain and beyond will need to be co-optimized for communication and computation. Such reasoning leads to the proposal for optoelectronic neuromorphic platfo
Externí odkaz:
https://doaj.org/article/ada1ef179e584326bed03f51bb09d481
Publikováno v:
IEEE Access, Vol 7, Pp 135606-135620 (2019)
Multiple neuromorphic systems use spiking neural networks (SNNs) to perform computation in a way that is inspired by concepts learned about the human brain. SNNs are artificial networks made up of neurons that fire a pulse, or spike, once the accumul
Externí odkaz:
https://doaj.org/article/1fc73830e42942b49e9784210ea4c3fa
Publikováno v:
Frontiers in Cellular Neuroscience, Vol 15 (2021)
Large-scale simulation of detailed computational models of neuronal microcircuits plays a prominent role in reproducing and predicting the dynamics of the microcircuits. To reconstruct a microcircuit, one must choose neuron and synapse models, placem
Externí odkaz:
https://doaj.org/article/4a5b2b4a64bc43b9bf7f0012eaf04dc3