Abstract
In this paper, a cellular neural network with depressing synapses for contrast-invariant pattern classification and synchrony detection is presented, starting from the impulse model of the single-electron tunneling junction. The results of the impulse model and the network are simulated using simulation program with integrated circuit emphasis (SPICE). It is demonstrated that depressing synapses should be an important candidate of robust systems since they exhibit a rapid depression of excitatory postsynaptic potentials for successive presynaptic spikes.
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Acknowledgment
This study is supported by the National Nature Science Foundation of China (No. 60576033).
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Li, N., Lu, H. Single-electron tunneling depressing synapse for cellular neural networks. Neural Comput & Applic 17, 111–118 (2008). https://doi.org/10.1007/s00521-007-0098-6
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DOI: https://doi.org/10.1007/s00521-007-0098-6