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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Coulston, C. Pakzad, S. |
| Copyright Year | 1993 |
| Description | Author affiliation: Dept. of Electr. & Comput. Eng., Pennsylvania State Univ., University Park, PA, USA (Coulston, C.; Pakzad, S.) |
| Abstract | An artificial neural network is built and trained to model the local bending reflex of the leech Hirudo Medicinalis. The model is validated by the data provided from physiological experiments. The training data and topology of the neural network is based on data gathered from physiological experiments. A graphical representation of the leech is constructed as a high level interface to the artificial neural network. This interface is used to determine the appropriateness of responses to different stimulus patterns. The artificial neural network is tested to see if it can generalize its repertoire of behaviors to untrained stimulus patterns. The leech provides the authors with a simple neurostructure that can be understood with today's technologies.<> |
| Starting Page | 32 |
| Ending Page | 39 |
| File Size | 768680 |
| Page Count | 8 |
| File Format | |
| ISBN | 0818637307 |
| DOI | 10.1109/DMISP.1993.248639 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1993-03-29 |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Head Biological system modeling Neural networks Neurons Humans Artificial neural networks Tail Information processing Biological neural networks Testing |
| Content Type | Text |
| Resource Type | Article |
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