| Original language | English (US) |
|---|---|
| Title of host publication | Encyclopedia of Neuroscience |
| Publisher | Elsevier Ltd |
| Pages | 667-679 |
| Number of pages | 13 |
| ISBN (Print) | 9780080450469 |
| DOIs | |
| State | Published - 2010 |
Abstract
The term attractor, when applied to neural circuits, refers to dynamical states of neural populations that are self-sustained and stable against perturbations. It is part of the vocabulary for describing neurons or neural networks as dynamical systems. This concept helps to quantitatively describe self-organized spatiotemporal neuronal firing patterns in a circuit, during spontaneous activity or underlying brain functions. Moreover, the theory of dynamical systems provides tools for examining the stability and robustness of a neural circuit's behavior, proposes a theory of learning and memory in terms of the formation of multiple attractor states or continuous attractors, and provides insights into how variations in cellular/synaptic properties give rise to a diversity of computational capabilities.
Fingerprint
Vocabulary
Learning
Neurons
Brain
Population
Keywords
- Associative memory
- Continuous attractor
- Decision making
- Dynamic system
- Molecular switch
- Multistability
- Neuronal spatiotemporal firing patterns
- Persistent activity
- Prefrontal cortex
- Spontaneous up and down states
- Time integration
- Working memory
ASJC Scopus subject areas
- Neuroscience(all)
Cite this
Wang, X-J. (2010). Attractor Network Models. In Encyclopedia of Neuroscience (pp. 667-679). Elsevier Ltd. https://doi.org/10.1016/B978-008045046-9.01397-8
Attractor Network Models. / Wang, Xiao-Jing.
Encyclopedia of Neuroscience. Elsevier Ltd, 2010. p. 667-679.Research output: Chapter in Book/Report/Conference proceeding › Entry for encyclopedia/dictionary
Wang, X-J 2010, Attractor Network Models. in Encyclopedia of Neuroscience. Elsevier Ltd, pp. 667-679. https://doi.org/10.1016/B978-008045046-9.01397-8
Wang X-J. Attractor Network Models. In Encyclopedia of Neuroscience. Elsevier Ltd. 2010. p. 667-679 https://doi.org/10.1016/B978-008045046-9.01397-8
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