SPANNER: A self-repairing spiking neural network hardware architecture
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 …
in the human brain, where spiking neurons provide direct and indirect feedbacks to …
A spiking stochastic neuron based on stacked InGaZnO memristors
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 …
plausible and an increasing effort has been made recently to translate its great cognitive …
Scalable networks-on-chip interconnected architecture for astrocyte-neuron networks
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 …
capability in the mammalian brain. Recent research has explored the mimicking of this …
[BUCH][B] MBA: Theory and application of business and management principles
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 …
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 …
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 …
efficient solution for the neuron interconnections for the hardware spiking neural networks …
Fixed latency on-chip interconnect for hardware spiking neural network architectures
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 …
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
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 …
focusing on novel computing devices, paradigms, and techniques for programming. The …