Quantum Wave Function for Information-Processing

McCulloch and Pitts first proposed a mathematical model of a neuron in 1943, which served as the foundation for Rosenblatt’s development of the Perceptron model in 1957. The Perceptron model, however, assumed that information is digital in nature, which can be considered a drawback since unicellular organisms actually receive analog signals. Initially, these models were based on the functioning of multicellular organisms, and at the time, a simple logic gate model of the neuron seemed plausible. However, subsequent significant advancements in microbiology have revealed the limitations of these models, rendering them no longer credible.It has become evident through these advancements that information processing and harvesting capabilities are not exclusive to multicellular organisms but are also present in unicellular organisms. In fact, it is believed that during the evolutionary process, unicellular organisms aggregated to form multicellular organisms. For instance, the work of Jennings demonstrated complex decision-making abilities in a single-celled organism, Stentor, which is equipped with beating hairs known as cilia. In his experiments, Jennings observed that when Stentor was subjected to an irritant, such as carmine powder directed at its mouth, it would first bend away, then reverse the beating of its cilia to expel the powder, contract, and finally detach. This behavior showcased Stentor’s ability to confront a stimulus with one response and adapt to a more costly approach if the irritant persisted. Such observations challenge the notion that a network of neurons is necessary for rudimentary information processing.