S.C. Kleene's 1956 paper, “Representation of Events in Nerve Nets and Finite Automata,” published in Automata Studies, investigates the ways in which events can be represented using nerve nets and finite automata. Kleene introduces key concepts and formalizations that bridge the fields of computer science and neuroscience, particularly focusing on the behavior of systems that process information in a sequential manner. His work lays the groundwork for automata theory by defining regular events and expressions, which describe the possible sequences of states and transitions in finite automata. Kleene's insights into the representation of neural activity using mathematical models also influence the development of early neural network theories. This seminal paper significantly advances the understanding of how complex systems can be modeled and analyzed, making enduring contributions to theoretical computer science and the study of neural processes.