Morphologically tunable mycelium chips for physical reservoir computing

Orkan Telhan, Jake Winiski, Damen Schaak, Michael Siegel, Neale Petrillo, Eben Bayer · 2026

Read Morphologically tunable mycelium chips for physical reservoir computing by Orkan Telhan, Jake Winiski, Damen Schaak, Michael Siegel, Neale Petrillo, Eben Bayer (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/PMC13500807.txt.

Description

Orkan Telhan leads a six-author team introducing a 2026 computing material grown from fungal mycelium. The chips infuse mycelium, the root-like network of fungi, with a conductive polymer called PEDOT:PSS, forming resistors, capacitors, and nonlinear elements whose shapes can be tuned during growth. The work uses physical reservoir computing, where a physical system turns time-varying inputs into rich internal patterns and only a simple readout layer needs training.

Grown hyphal networks handled a standard sequence task called NARMA-10, and the team measured memory capacity, fading-memory behaviour, and variation between chips. Growth complexity changed how charge moved through the material and how much it remembered. The authors stress practical advantages: the non-living chips are cheap, biodegradable, and compatible with mushroom farming methods, with yields above three million chips per growth cycle.

Catalog record

CREATOROrkan Telhan, Jake Winiski, Damen Schaak, Michael Siegel, Neale Petrillo, Eben Bayer
YEAR2026
COLLECTIONPAPERS
FORMATTXT
FILE SIZE49874
LICENSEhttps://creativecommons.org/licenses/by/4.0
RIGHTSCC BY
SOURCEEurope PMC

Source: https://europepmc.org/article/MED/PMC13500807

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