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Living fungal materials can now perform computations by implementing Boolean functions. This breakthrough enables adaptive fungal materials with potential applications in unconventional computing and intelligent systems.

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Area of Science:

  • Biocomputing
  • Materials Science
  • Unconventional Computing

Background:

  • Living substrates exhibit nonlinear electrical properties enabling signal mapping.
  • Mycelium-bound composites (fungal materials) are recognized for various applications but are currently passive.
  • Integrating logical circuits can transform fungal materials into adaptive, sensing, and computing systems.

Purpose of the Study:

  • To demonstrate the implementation of Boolean functions within mycelium-bound composites.
  • To explore the potential of fungal materials for unconventional computing.
  • To develop adaptive intelligent materials.

Main Methods:

  • Experimental laboratory prototypes of many-input Boolean functions were created using oyster fungi (P. ostreatus).
  • The complexity of implemented functions was characterized using one-dimensional cellular automata.
  • Electrical signal inputs (amplitude/frequency) and outputs were analyzed.

Main Results:

  • Mycelium-bound composites successfully implemented various Boolean functions.
  • These fungal materials demonstrated the capability to represent all classes of cellular automata complexity, including computationally universal functions.
  • Experimental prototypes of computing fungal materials were successfully developed.

Conclusions:

  • Mycelium-bound composites can be engineered to perform complex logical operations.
  • This research pioneers purposeful computing with fungi, advancing intelligent materials.
  • The findings have significant implications for unconventional computing and adaptive material development.