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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Zacksenhouse, M. deFigueiredo, R.J.P. Johnson, D.H. |
| Copyright Year | 1988 |
| Description | Author affiliation: Dept. of Electr. & Comput. Eng., Rice Univ., Houston, TX, USA (Zacksenhouse, M.; deFigueiredo, R.J.P.; Johnson, D.H.) |
| Abstract | The principles of memory organization of plans are presented, and the role of sensory cues in the timely selection and execution of plans is demonstrated. The two major components of learning a cue-based plan, developing the ability to detect cues and associating cues with the relevant responses, are described. The preliminary development of neural-network mechanisms for learning cue-based plans is presented. It is shown that hard-wired neural networks provide the input to adaptive neural networks that learn an internal representation of the relevant cues and the threshold levels associated with them. Self-organizing neural networks learn to associate cues with changes in action and to construct cue-based plans.< |
| Starting Page | 324 |
| Ending Page | 327 |
| File Size | 287672 |
| Page Count | 4 |
| File Format | |
| DOI | 10.1109/CDC.1988.194321 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1988-12-07 |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Neural networks Motion detection Optical sensors Biological neural networks Computer architecture Motion control Humans Animals Documentation Information resources |
| Content Type | Text |
| Resource Type | Article |
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