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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Bibliographic Details
Main Author: Roy, Subhrajit
Other Authors: Arindam Basu
Format: Theses and Dissertations
Language:English
Published: 2016
Subjects:
Online Access:https://hdl.handle.net/10356/67327
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Institution: Nanyang Technological University
Language: English