Publication: Organic electronics Axon-Hillock neuromorphic circuit: towards biologically compatible, and physically flexible, integrate-and-fire spiking neural networks
Organic electronics Axon-Hillock neuromorphic circuit: towards biologically compatible, and physically flexible, integrate-and-fire spiking neural networks
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Mirshojaeian Hosseini, M. J., Donati, E., Yokota, T., Lee, S., Indiveri, G., Someya, T., & Nawrocki, R. A. (2021). Organic electronics Axon-Hillock neuromorphic circuit: towards biologically compatible, and physically flexible, integrate-and-fire spiking neural networks. Journal of Physics D: Applied Physics, 54(10), 104004. https://doi.org/10.1088/1361-6463/abc585
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Spiking neural networks (SNNs) have emerged as a promising computational paradigm to emulate the features of natural neural tissue physiology. While hardware implementations of SNNs are being conceived to emulate biological systems, they typically rely on hard and rigid silicon electronics that are not bio-compatible. In the physical, or materials realm, organic electronics offer mechanical flexibility and bio-compatibility, allowing for the construction of neural processing systems that can be directly interfaced to biological networ
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Mirshojaeian Hosseini, M. J., Donati, E., Yokota, T., Lee, S., Indiveri, G., Someya, T., & Nawrocki, R. A. (2021). Organic electronics Axon-Hillock neuromorphic circuit: towards biologically compatible, and physically flexible, integrate-and-fire spiking neural networks. Journal of Physics D: Applied Physics, 54(10), 104004. https://doi.org/10.1088/1361-6463/abc585