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 …

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 …

A neuromorphic digital circuit for neuronal information encoding using astrocytic calcium oscillations

F Faramarzi, F Azad, M Amiri… - Frontiers in …, 2019 - frontiersin.org
Neurophysiological observations are clarifying how astrocytes can actively participate in
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 …

AstroByte: Multi-FPGA architecture for accelerated simulations of spiking astrocyte neural networks

S Karim, J Harkin, L McDaid… - … Design, Automation & …, 2020 - ieeexplore.ieee.org
Spiking astrocyte neural networks (SANN) are a new computational paradigm that exhibit
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 …

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 …

[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 …