Neuromorphic Liquids, Colloids, and Gels: A Review

Advances in flexible electronic devices and robotic software require that sensors and controllers be virtually devoid of traditional electronic components, be deformable and stretch-resistant. Liquid electronic devices that mimic biological synapses would make an ideal core component for flexible liquid circuits. This is due to their unbeatable features such as flexibility, reconfiguration, fault tolerance. To mimic synaptic functions in fluids we need to imitate dynamics and complexity similar to those that occurring in living systems. Mimicking ionic movements are considered as the simplest platform for implementation of neuromorphic in material computing systems. We overview a series of experimental laboratory prototypes where neuromorphic systems are implemented in liquids, colloids and gels.

Automated summary

Advancements in flexible electronic devices and robotic software have the demand for sensors and controllers that lack traditional electronic components, and that are deformable and stretch-resistant. Liquid electronic devices that imitate biological synapses are the perfect core component for flexible liquid circuits, as they possess unbeatable traits such as flexibility, reconfiguration, and fault tolerance. Mimicking ionic movements is considered the simplest way to implement neuromorphic systems in material computing systems, and a series of experimental laboratory prototypes have been developed using liquids, colloids, and gels.