Testing and reliability of spiking neural networks: A review of the state-of-the-art
HG Stratigopoulos, T Spyrou… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
Neuromorphic computing based on Spiking Neural Networks (SNNs) is an emerging
computing paradigm inspired by the functionality of the biological brain. Given its potential to …
computing paradigm inspired by the functionality of the biological brain. Given its potential to …
Memristive circuit implementation of a self-repairing network based on biological astrocytes in robot application
Q Hong, H Chen, J Sun, C Wang - IEEE transactions on neural …, 2020 - ieeexplore.ieee.org
A large number of studies have shown that astrocytes can be combined with the presynaptic
terminals and postsynaptic spines of neurons to constitute a triple synapse via an …
terminals and postsynaptic spines of neurons to constitute a triple synapse via an …
A neuromorphic digital circuit for neuronal information encoding using astrocytic calcium oscillations
Neurophysiological observations are clarifying how astrocytes can actively participate in
information processing and how they can encode information through frequency and …
information processing and how they can encode information through frequency and …
Hardware-Efficient Design and Implementation of a Spiking Neural Model with Noisy Astrocyte
M Gholami, G Karimi, B Linares-Barranco - IEEE Access, 2023 - ieeexplore.ieee.org
Neuromorphic architectures are systems that aim at using the principles of biological neural
functions as their basis of operation. One of the most significant challenges in neuromorphic …
functions as their basis of operation. One of the most significant challenges in neuromorphic …
AstroByte: Multi-FPGA architecture for accelerated simulations of spiking astrocyte neural networks
Spiking astrocyte neural networks (SANN) are a new computational paradigm that exhibit
enhanced self-adapting and reliability properties. The inclusion of astrocyte behaviour …
enhanced self-adapting and reliability properties. The inclusion of astrocyte behaviour …
Training for'unstable'cnn accelerator: A case study on fpga
KZ Xing - arXiv preprint arXiv:1812.01689, 2018 - arxiv.org
With the great advancements of convolution neural networks (CNN), CNN accelerators are
increasingly developed and deployed in the major computing systems. To make use of the …
increasingly developed and deployed in the major computing systems. To make use of the …
RETRACTED: Smart Japanese listening course design based on data intelligent analysis and FPGA
F Wu, Q Li - 2021 - Elsevier
RETRACTED: Smart Japanese listening course design based on data intelligent analysis and
FPGA - ScienceDirect Skip to main contentSkip to article Elsevier logo Journals & Books …
FPGA - ScienceDirect Skip to main contentSkip to article Elsevier logo Journals & Books …
[PDF][PDF] AstroByte: Programmable and Scalable Multi-FPGA
SH Karim - 2020 - pure.ulster.ac.uk
The human brain is one of the most complex systems known to mankind with an estimated
100 billion neurons, 0.15 quadrillion (150 thousand billion) synapses and around a trillion …
100 billion neurons, 0.15 quadrillion (150 thousand billion) synapses and around a trillion …