In 1982 John Hopfield published the paper “Neural networks and physical systems with emergent collective computational abilities” describing a simple network model functioning as an associative and content-addressable memory.
The paper started a new subfield in computational neuroscience and led to the influx of numerous theoretical scientists, in particular physicists, to the field.
The podcast guest wrote his PhD thesis on the model in the early 1990s, and we talk about the history and present impact of the model.
Links:
- List of papers related to Hopfield model
- Hopfield: “Neural networks and physical systems with emergent collective computational abilities”, Proceedings of the National Academy of Science (USA) (1982)
- Hopfield: “Neurons with graded response have collective computational properties like those of two-state neurons”, Proceedings of the National Academy of Science (USA) (1984)
- Hertz, Krogh, Palmer: “Introduction to the theory of neural computation”, Santa Fe Institute (1991)
- Gerstner, Kistler, Naud, Paninski: “Neuronal dynamics”, Introduction to the theory of neural computation”, Cambridge University Press (2014)
- Sterratt, Graham, Gillies, Einevoll, Willshaw: “Principles of computational modelling in neuroscience”, 2nd ed.,Cambridge University Press (2023)
- Home page of Wulfram Gerstner
The podcast was recorded on November 27th, 2024 and lasts 1 hour and 28 minutes.
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