Learning spike time codes through supervised and unsupervised structural plasticity
Large-scale spiking neural networks (SNN) are typically implemented on the chip by using mixed analog-digital circuits. While the models of the network components (neurons, synapses, and dendrites) are implemented by analog VLSI techniques, the connectivity information of the network is stored in an...
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Main Author: | Roy, Subhrajit |
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Other Authors: | Arindam Basu |
Format: | Theses and Dissertations |
Language: | English |
Published: |
2016
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/67327 |
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Institution: | Nanyang Technological University |
Language: | English |
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