This paper introduces a complex-valued neural network (cv-NN) with linear interactions and phase-delays that exhibits sophisticated spatiotemporal dynamics used for computation. The cv-NN can perform logic gates, encode short-term memories, and mediate secure message passing. The computations are described by an exact, closed-form mathematical expression. Intracellular recordings from neocortical neurons demonstrate that the cv-NN computations are decodable by biological neurons. This work opens avenues for designing adaptable bio-hybrid computing systems.
Publisher
Communications Physics
Published On
Apr 01, 2024
Authors
Roberto C. Budzinski, Alexandra N. Busch, Samuel Mestern, Erwan Martin, Luisa H. B. Liboni, Federico W. Pasini, Ján Mináč, Todd Coleman, Wataru Inoue, Lyle E. Muller
Tags
complex-valued neural network
spatiotemporal dynamics
logic gates
bio-hybrid systems
secure message passing
Related Publications
Explore these studies to deepen your understanding of the subject.
