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5 October 2023 Electronic and photonic neuromorphic device concepts
Emil J. W. List-Kratochvil
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Proceedings Volume PC12661, Organic and Hybrid Sensors and Bioelectronics XVI; PC126610B (2023) https://doi.org/10.1117/12.2683776
Event: SPIE Organic Photonics + Electronics, 2023, San Diego, California, United States
Abstract
Artificial neural networks (ANN), inspired by biological nervous systems, enable signal processing beyond the capabilities of von Neumann computer architectures. Through dynamically adapting the connectivity (synaptic weights) in individual devices and by applying learning algorithms ANNs can offer in memory and tensor computing capabilities. Yet, to fully unleash the potential of hardware ANNs there is still a need for neuromorphic device concepts, which properly emulate all necessary synaptic functions adequately and allow for an easy integration into large scale hardware ANNs. In this contribution we will demonstrate organic ionic/electronic as well as plasmonic/photonic neuromorphic device concepts using different types of hybrid material systems.
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Emil J. W. List-Kratochvil "Electronic and photonic neuromorphic device concepts", Proc. SPIE PC12661, Organic and Hybrid Sensors and Bioelectronics XVI, PC126610B (5 October 2023); https://doi.org/10.1117/12.2683776
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KEYWORDS
Artificial neural networks
Photonic devices
Computer hardware
Computer architecture
Nervous system
Signal processing
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