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Neural Networks and Natural Intelligence
Abstract
Stephen Grossberg and his colleagues at Boston University's Center for Adaptive Systems are producing some of the most exciting research in the neural network approach to making computers "think." Packed with real-time computer simulations and rigorous demonstrations of these phenomena, this book includes results on vision, speech, cognitive information processing; adaptive pattern recognition, adaptive robotics, conditioning and attention, cognitive-emotional interactions, and decision making under risk. Bradford Books imprint
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Citations
Cited by
Nonlinear neural networks: Principles, mechanisms, and architectures
Grossberg, S. (1988) · Neural Networks · doi:10.1016/0893-6080(88)90021-4 · Cited by 1,623
The ART of adaptive pattern recognition by a self-organizing neural network
Carpenter, G. A., & Grossberg, S. (1988) · Computer · doi:10.1109/2.33 · Cited by 1,287
Thagard, P. (1989) · Behavioral and Brain Sciences · doi:10.1017/s0140525x00057046 · Cited by 1,043
Blackwell Handbook of Judgment and Decision Making
(2004) · Wiley eBooks · doi:10.1002/9780470752937 · Cited by 961
Opponent interactions between serotonin and dopamine
Daw, N. D., Kakade, S., & Dayan, P. (2002) · Neural Networks · doi:10.1016/s0893-6080(02)00052-7 · Cited by 844
Metadata
- Venue
- The MIT Press eBooks
- Publisher
- The MIT Press
- Published
- 1988-04-21
- OpenAlex
- W1943665722
- Cited by
- 720
- References
- 0
- FWCI
- 21.27
- Type
- book
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Neural Networks and Natural Intelligence. https://app.cochat.ai/papers/10.7551/mitpress/4934.001.0001
- The paper
- Neural Networks and Natural Intelligence. (1988). The MIT Press eBooks. https://doi.org/10.7551/mitpress/4934.001.0001
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.
