書誌事項
- タイトル別名
-
- A Neural Network Model for Self-Organization of Spatial Maps
この論文をさがす
抄録
Psychological findings suggest that humans keep spatial relation between objects in memory as ‘cognitive maps’, and that three-dimensional spatial information is represented by a set of two-dimensional information in the brain. Based on these findings, we propose a neural network model that forms a two-dimensional spatial map self-organizingly. The model is mainly composed of two functionally different parts. One represents spatial position of objects by using signals from saccadic eye movements. The other represents relative position of objects existing simultaneously in a visual field. This model was simulated on a computer to be shown to have the desired behavior.
収録刊行物
-
- 日本神経回路学会誌
-
日本神経回路学会誌 3 (1), 3-10, 1996
日本神経回路学会
- Tweet
詳細情報 詳細情報について
-
- CRID
- 1390001204467598080
-
- NII論文ID
- 10008841100
-
- NII書誌ID
- AA11658570
-
- DOI
- 10.3902/jnns.3.3
-
- ISSN
- 18830455
- 1340766X
-
- データソース種別
-
- JaLC
- Crossref
- CiNii Articles
-
- 抄録ライセンスフラグ
- 使用不可