The first neural network was created in 1943

 The first mathematical model of a neural network was created in 1943 by Warren McCulloch and Walter Pitts, while the first physical, working neural network hardware (the Perceptron) was built in 1957–1958 by Frank Rosenblatt. [1, 2, 3, 4]

Key Milestones in Early Neural Network History
  • 1943 (The First Model): Neurophysiologist Warren McCulloch and mathematician Walter Pitts published a paper proposing the first computational model of an artificial neuron using electrical circuits and threshold logic. [1, 2, 3]
  • 1949 (Learning Rule): Psychologist Donald Hebb introduced Hebbian learning, suggesting that neural pathways strengthen when they fire together ("cells that fire together, wire together"). [1, 2]
  • 1951 (First Simulator): Marvin Minsky built the SNARC, considered the first neural network simulation machine. [1]
  • 1957–1958 (First Physical Network): Frank Rosenblatt developed and built the Perceptron (the Mark 1 Perceptron), the first real-world, adaptable hardware-and-software neural network designed for pattern recognition. [1, 2, 3]
Would you like to know more about how the Perceptron worked or how backpropagation revived neural networks in the 1980s?

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