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Shiitake Mushroom Mycelium Used to Create Sustainable Memristors for Neuromorphic Computing

By

PaulHoule

7mo ago· 25 min readenInsight

Summary

Researchers have developed sustainable memristors using shiitake mushroom mycelium for high-frequency bioelectronics applications. The study demonstrates that fungal computing via mycelial networks can be interfaced with electrodes, showing that fungal memristors can be grown, trained, and preserved through dehydration while retaining functionality at frequencies up to 5.85 kHz with 90% accuracy. The research highlights shiitake fungi's radiation resistance, suggesting potential for aerospace applications, and presents fungal computers as scalable, eco-friendly platforms for neuromorphic computing tasks that bridge bioelectronics and unconventional computing.

Key quotes

· 4 pulled
We demonstrate fungal computing via mycelial networks interfaced with electrodes, showing that fungal memristors can be grown, trained, and preserved through dehydration, retaining functionality at frequencies up to 5.85 kHz, with an accuracy of 90 ± 1%.
Notably, shiitake has exhibited radiation resistance, suggesting its viability for aerospace applications.
Our findings show that fungal computers can provide scalable, eco-friendly platforms for neuromorphic tasks, bridging bioelectronics and unconventional computing.
In this study, we explored shiitake (Lentinula edodes) fungi as a robust, sustainable alternative, exploiting its adaptive electrical signaling, which is akin to neuronal spiking.
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Neuromorphic computing, inspired by the structure of the brain, offers advantages in parallel processing, memory storage, and energy efficiency. However, current semiconductor-based neuromorphic chips require rare-earth materials and costly fabrication pr

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