Abstract
Attention is a complex system subserved by at least three interacting attentional networks in the brain. This paper describes a computational model of attentional networks, developed in the framework of leabra [1]. We evaluated the model using Attentional Networks Test [2] and the simulation results fitted the behavioral data well. The model provides a computational explanation of how the three attentional networks work together to achieve the function of attention.
| Original language | English |
|---|---|
| Pages (from-to) | 1988-1989 |
| Number of pages | 2 |
| Journal | Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings |
| Volume | 3 |
| State | Published - 2002 |
| Externally published | Yes |
| Event | Proceedings of the 2002 IEEE Engineering in Medicine and Biology 24th Annual Conference and the 2002 Fall Meeting of the Biomedical Engineering Society (BMES / EMBS) - Houston, TX, United States Duration: 23 Oct 2002 → 26 Oct 2002 |
Keywords
- Alerting
- Attention
- Computational modeling
- Executive control
- Orienting