Parameter Exploration to Improve Performance of Memristor-Based Neuromorphic Architectures
نویسندگان
چکیده
منابع مشابه
Integration of nanoscale memristor synapses in neuromorphic computing architectures
Conventional neuro-computing architectures and artificial neural networks have often been developed with no or loose connections to neuroscience. As a consequence, they have largely ignored key features of biological neural processing systems, such as their extremely low-power consumption features or their ability to carry out robust and efficient computation using massively parallel arrays of ...
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Artificial neural networks have recently received renewed interest because of the discovery of the memristor. The memristor is the fourth basic circuit element, hypothesized to exist by Leon Chua in 1971 and physically realized in 2008. The two-terminal device acts like a resistor with memory and is therefore of great interest for use as a synapse in hardware ANNs. Recent advances in memristor ...
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ژورنال
عنوان ژورنال: IEEE Transactions on Multi-Scale Computing Systems
سال: 2018
ISSN: 2332-7766,2372-207X
DOI: 10.1109/tmscs.2017.2761231