Frank Rosenblatt (1928-1971) was an American psychologist who worked at the Cornell Aeronautical Laboratory and is remembered as the inventor of the perceptron, one of the earliest models of a trainable artificial neural network. His landmark 1958 paper, “The Perceptron: A Probabilistic Model for Information Storage and Organization in the Brain,” appeared in Psychological Review (DOI 10.1037/h0042519); the National Library of Medicine record confirms the bibliographic details.
The perceptron was inspired by how neurons in the brain might store and organize information, and it could adjust its connection weights from examples, learning to classify simple patterns. This made it a foundational demonstration that machines could learn rather than only follow fixed instructions.
Rosenblatt’s work generated enormous early excitement about machine learning. Although later critiques highlighted the limits of single-layer perceptrons, his model is a direct ancestor of the layered neural networks that drive modern deep learning, and it gave the field one of its core building blocks.