A Concise History of Neural Networks | by Jaspreet | Towards Data Science

“From the barren landscapes inside our personal devices come furtive anthems hummed by those digital servants who will one day be our overlords" A.I. winter The idea of neural networks began unsurprisingly as a model of how neurons in the brain function, termed ‘connectionism’ and used connected circuits to simulate intelligent behaviour .In 1943, portrayed with a simple electrical circuit by neurophysiologist Warren McCulloch and mathematician Walter Pitts. Donald Hebb took the idea further in his book, The Organization of Behaviour (1949), proposing that neural pathways strengthen over each successive use, especially between neurons that tend to fire at the same time thus beginning the long journey towards quantifying the complex processes of the brain. Two major concepts that are precursers to Neural Networks are both proposed in the 1940’s. In 1950s, as researchers began trying to translate these networks onto computational systems, the first Hebbian network was successfully implem

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