Titlebook: Advances in Neuromorphic Hardware Exploiting Emerging Nanoscale Devices; Manan Suri Book 2017 Springer (India) Pvt. Ltd. 2017 Low-power Co

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Tensor-Solver for Deep Neural Network,er open design questions, particularly in the area of circuit realization, that must be explored in order for the research to move forward. This chapter reviews a number of theoretical and practical concepts related to NMS circuit design, with particular focus on neuron, synapse, and plasticity circuits.

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https://doi.org/10.1007/978-81-322-3703-7Low-power Cognitive Hardware; Memristor; Neuromorphic Hardware; Resistive Memory Technology; Supervised

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Henk C. de Graaff,François M. Klaassenrdware artificial neural networks (ANNs). Ongoing attempts to realize neuronal behaviours on Si ‘to a limited extent’ are addressed in comparison with biological neurons. Note that ‘to a limited extent’ in this context implicitly means ‘sufficiently’ for realizing key features of neurons as informat

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