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In the second half of the 20th century, neuroscientists across North America developed automated systems for use in their research laboratories. Their decisions to do so were complex and contingent, partly a result of global reasons, such as the need to increase efficiency and flexibility, and partly a result of local reasons, such as the need to amend perceived biases of earlier research methodologies. Automated methods were advancements but raised several challenges. Transferring a system from one location to another required that certain components of the system be standardized, such as the hardware, software, and programming language. This proved difficult as commercial manufacturers lacked incentives to create standardized products for the few neuroscientists working towards automation. Additionally, investing in automated systems required massive amounts of time, labor, funding, and computer expertise. Moreover, neuroscientists did not agree on the value of automation. My brief history investigates Karl Pribram's decisions to expand his newly created automated system by standardizing equipment, programming, and protocols. Although he was an eminent Stanford neuroscientist with strong institutional support and computer know-how, the development and transfer of his automated behavioral testing system was riddled with challenges. For Pribram and neuroscience more generally, automation was not so automatic., (Copyright © 2024 The Author. Published by Elsevier Ltd.. All rights reserved.)

Prior to the widespread availability of electronic components after the Second World War, laboratory automation was constructed by end users and designed for specific tasks, mostly filtration, percolation, and washing operations. The earliest mention of automation in the chemical literature of the United States was in 1875, announcing a device to wash filtrates unattended. In the years that followed, a small number of commercial automated devices were sold, including large grinders for the preparation of coal samples. Around 1900, power stations began adopting automated carbon dioxide analysis. The development of electrical equipment for conductivity measurements enabled the first commercial, automated gas detection instruments for laboratory and field use around the time of the First World War. The growth of industrial production in the 1920s led to a desire for automated testing equipment, and the growing rubber industry was among the more successful early adapters. Photoelectric cells were first used in the early 1930s to create automatic titrators, and by the 1950s, automatic titration encompassed coulometric, potentiometric, and photometric devices. Combinations of chart recorders, photocells, and timers created other types of automated equipment such as stills and fraction collectors. The first true stand-alone automation for the laboratory included clinical chemistry analyzers, introduced during the 1950s.