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The Computer and the Brain
Abstract
In this classic work, one of the greatest mathematicians of the twentieth century explores the analogies between computing machines and the living human brain. John von Neumann, whose many contributions to science, mathematics, and engineering include the basic organizational framework at the heart of today's computers, concludes that the brain operates both digitally and analogically, but also has its own peculiar statistical language. In his foreword to this new edition, Ray Kurzweil, a futurist famous in part for his own reflections on the relationship between technology and intelligence, places von Neumann’s work in a historical context and shows how it remains relevant today.
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Citations
Cited by
How brains make chaos in order to make sense of the world
Skarda, C. A., & Freeman, W. J. (1987) · Behavioral and Brain Sciences · doi:10.1017/s0140525x00047336 · Cited by 2,097
Communication in neuronal networks
Laughlin, S. B., & Sejnowski, T. J. (2003) · Science · doi:10.1126/science.1089662 · Cited by 950
Capacity limits of information processing in the brain
Marois, R., & Ivanoff, J. (2005) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2005.04.010 · Cited by 928
Empirical support for higher-order theories of conscious awareness
Lau, H., & Rosenthal, D. (2011) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2011.05.009 · Cited by 869
A survey of multiple classifier systems as hybrid systems
Woźniak, M., Graña, M., & Corchado, E. (2014) · Information Fusion · doi:10.1016/j.inffus.2013.04.006 · Cited by 912
Metadata
- Authors
- von Neumann, J.
- Venue
- Yale University Press eBooks
- Publisher
- Yale University Press
- Published
- 2017-12-13
- OpenAlex
- W2121211200
- Cited by
- 877
- References
- 0
- FWCI
- 33.97
- Type
- book
- Language
- en
- Open access
- closed
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- von Neumann, J. (2017). The Computer and the Brain. Yale University Press eBooks. https://doi.org/10.12987/9780300188080
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
