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Hardware faults are becoming more frequent due to geometric scaling, reducing the reliability and lifespan of devices. Current fault-tolerant approaches use redundancy or a central controller to detect and/or repair faults. However, these methods are also susceptible to faults. Astrocytes have been shown to facilitate biological self-repair in silent or near silent neurons in the brain by increasing...
A self-repairing robot utilising a spiking astrocyte-neuron network is presented in this paper. It uses the output spike frequency of neurons to control the motor speed and robot activation. A software model of the astrocyte-neuron network previously demonstrated self-detection of faults and its self-repairing capability. In this paper the application demonstrator of mobile robotics is employed to...
Scalability is a key challenge for digital spiking neural networks (SNN) in hardware. This paper proposes an efficient neuron architecture (ENA) to reduce the silicon area occupied by neurons. As the computation resource (e.g. DSP in FPGAs) is limited for hardware SNNs, the proposed ENA employs a sharing mechanism of computing component at two levels (synapse and neuron) to reduce the occupied resources...
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