Proteinoid Proto-Neural Networks explores the emergence of electrical activity, spiking behavior, and adaptive responses, supported by electrochemical, optical, and acoustic studies that reveal proteinoid-based logic, memory, and learning. It demonstrates how proteinoids, which are synthetic polymers formed from amino acids under high temperature, self-organize into excitable microspheres and assemble into protoneural networks capable of unconventional computation. By blending experimental biophysics with neuromorphic modeling and unconventional computing theory, this monograph establishes proteinoid systems as a platform for wetware computing and the study of emergent intelligence.This book is perfectly suited for researchers in computer science, computer engineering, soft matter physics, novel materials, neuromorphic engineering and computing, as well as those exploring bio-inspired systems, unconventional computing architectures, and the physicochemical foundations of proto-neural behavior.
