Titlebook: Electric-Double-Layer Coupled Oxide-Based Neuromorphic Transistors Studies; Changjin Wan Book 2019 Springer Nature Singapore Pte Ltd. 2019

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https://doi.org/10.1007/978-981-13-3314-9Electric-double-layer (EDL) modulation; Oxide-based EDL transistors; Synaptic devices; Neuromorphic eng

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Heinrich Holland,Kurt ScharnbacherThe human brain is a massively parallel and reconfigurable neural network with ~10. neurons and ~10. synapses and operates at a ultralow energy consumption (<20 W), which is much more robust, plastic, and error-tolerant than any digital computer.

Affiliation

Mathematische Grundlagen der Statistik,Human brain is one of the most exquisite computing systems with high efficiency and ultralow energy consumption. Although great progress has been made in floating-point calculation of the digital computer, brain still do better in pattern recognition, logical deduction, self-learning and innovative thinking with limited resource.

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Conclusion and Perspective,Human brain is one of the most exquisite computing systems with high efficiency and ultralow energy consumption. Although great progress has been made in floating-point calculation of the digital computer, brain still do better in pattern recognition, logical deduction, self-learning and innovative thinking with limited resource.

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Electric-Double-Layer Coupled Oxide-Based Neuromorphic Transistors Studies

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Darstellung des statistischen Materials,learning and memory function of synapses. In addition, the power consumption of a single synapse is very low, only 10. J/spike. At the same time, the brain is an event-driven work model allowing the brain of a huge network of neurons with tens of billions of neurons to work with extremely low power

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Statistische Darstellungsmethoden,cat’s brain, at a rate equivalent to 1% of the real neuron response rate (Prezioso et al., In: Proceedings of the conference on high performance computing networking, storage and analysis, pp 1–12 [.]). However, this experiment cost a huge amount of computing resources, including 147,456 microproces

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2190-5053 stors in an artificial visual system to demonstrate the potential for constructing neuromorphic systems. Accordingly, the book offers a unique resource on understanding the brain-machine interface, brain-like c978-981-13-3314-9Series ISSN 2190-5053 Series E-ISSN 2190-5061