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  1. Walter Pitts (* 23. April 1923 in Detroit , Michigan ; † 14. Mai 1969 in Cambridge , Massachusetts ) war ein amerikanischer Logiker, der auf dem Gebiet der kognitiven Psychologie arbeitete.

  2. en.wikipedia.org › wiki › Walter_PittsWalter Pitts - Wikipedia

    Walter Pitts (right) with Jerome Lettvin, co-author of the cognitive science paper "What the Frog's Eye Tells the Frog's Brain" (1959) Walter Harry Pitts, Jr. (23 April 1923 – 14 May 1969) was an American logician who worked in the field of computational neuroscience.

    • 14 May 1969 (aged 46), United States
  3. 15. Jan. 2024 · 1943. In Europa wütet der Zweite Weltkrieg und das Töten scheint kein Ende zu nehmen. In den USA erstellen der Neurophysiologe Warren McCulloch und der Logiker Walter Pitts ein mathematisches...

  4. 8. Dez. 2023 · McCulloch und Pitts – das erste neuronale Netz. Geschrieben am 08.12.2023 von HNF. Der Mediziner Warren McCulloch und der junge Logiker Walter Pitts trafen sich in den frühen 1940er-Jahren in der Universität von Chicago. Im Dezemberheft 1943 der Zeitschrift „Bulletin of Mathematical Biophysics“ veröffentlichten sie einen ...

  5. 29. Jan. 2015 · Walter Pitts was a homeless runaway who rose from the streets to MIT, where he became a neuroscience pioneer and a logical thinker. He collaborated with McCulloch, a philosopher-poet, on the first mechanistic theory of the mind, the first computational approach to neuroscience, and the logical design of modern computers.

  6. 30. Mai 2018 · Walter Pitts was a computer scientist who would have become one of the most famous names in the field, but his world view was shattered by an experiment on a frog in 1959. He burned his work, quit science and died alone 10 years later, forgotten by his peers.

  7. 14. Apr. 2017 · Walter Pitts, a neuroscientist and computer scientist, co-founded the first cognitive science department at MIT in 1952. He and his colleagues developed the first convolutional neural network, a technique for machine learning that has been revived by deep learning. Learn how neural networks work, how they relate to neuroscience and computer science, and how they have evolved over time.