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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Saeki, K. Hayashi, Y. Sekine, Y. |
| Copyright Year | 2006 |
| Description | Author affiliation: Nihon Univ., Chiba (Saeki, K.) |
| Abstract | Since neural networks have superior information processing functions, many investigators attempt to model biological neurons and their networks. Furthermore, a number of studies of neural networks have recently been made with the purpose of applying engineering to the brain. In this study, we investigate the effect of STDP on the ability to extract phase information buried in fluctuation. We focus on spike timing dependent synaptic plasticity (STDP), and we construct neural networks from a pulse-type hardware neuron model using STDP. We show that phase information buried in fluctuation is revealed by the effect of STDP, making it possible to decode the synaptic weight. Moreover, we show that it is possible to extract the phase difference buried in fluctuation representing the reinforcement part of the synaptic weight, using neural networks with STDP. |
| Starting Page | 1505 |
| Ending Page | 1510 |
| File Size | 386924 |
| Page Count | 6 |
| File Format | |
| ISBN | 0780394909 |
| DOI | 10.1109/IJCNN.2006.246611 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-07-16 |
| Publisher Place | Canada |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Data mining Fluctuations Neurons Biological neural networks Circuits Biological system modeling Timing Neural network hardware Brain modeling Pulse generation |
| Content Type | Text |
| Resource Type | Article |
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