SPANNER: A self-repairing spiking neural network hardware architecture

J Liu, J Harkin, LP Maguire, LJ McDaid… - IEEE transactions on …, 2017 - ieeexplore.ieee.org
Recent research has shown that a glial cell of astrocyte underpins a self-repair mechanism
in the human brain, where spiking neurons provide direct and indirect feedbacks to …

A spiking stochastic neuron based on stacked InGaZnO memristors

H Mao, Y He, C Chen, L Zhu, Y Zhu… - Advanced Electronic …, 2022 - Wiley Online Library
Spiking encoded stochastic neural network is believed to be energy efficient and biologically
plausible and an increasing effort has been made recently to translate its great cognitive …

Scalable networks-on-chip interconnected architecture for astrocyte-neuron networks

J Liu, J Harkin, LP Maguire, LJ McDaid… - … on Circuits and …, 2016 - ieeexplore.ieee.org
Spiking astrocyte-neuron networks (ANNs) have the potential to emulate the self-repair
capability in the mammalian brain. Recent research has explored the mimicking of this …

[BUCH][B] MBA: Theory and application of business and management principles

C Machado, JP Davim - 2016 - Springer
Thought to be one of the most prestigious and sought-after degrees all over the world, the
Master of Business Administration, shortly known as MBA, is designed to develop the skills …

Efficient hardware implementation of spiking networks

JA Levin, V Rangan, EC Malone - US Patent 9,542,643, 2017 - Google Patents
Certain aspects of the present disclosure Support operating simultaneously multiple Super
neuron processing units in an artificial nervous system, wherein a plurality of artificial …

Low cost interconnected architecture for the hardware spiking neural networks

Y Luo, L Wan, J Liu, J Harkin, L McDaid… - Frontiers in …, 2018 - frontiersin.org
A novel low cost interconnected architecture (LCIA) is proposed in this paper, which is an
efficient solution for the neuron interconnections for the hardware spiking neural networks …

Fixed latency on-chip interconnect for hardware spiking neural network architectures

S Pande, F Morgan, G Smit, T Bruintjes, J Rutgers… - Parallel computing, 2013 - Elsevier
Abstract Information in a Spiking Neural Network (SNN) is encoded as the relative timing
between spikes. Distortion in spike timings can impact the accuracy of SNN operation by …

A unified hardware/software co-design framework for neuromorphic computing devices and applications

JS Plank, GS Rose, ME Dean… - 2017 IEEE …, 2017 - ieeexplore.ieee.org
With the death of Moore's law, the computing community is in a period of exploration,
focusing on novel computing devices, paradigms, and techniques for programming. The …