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...

Full description

Saved in:
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
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
Be the first to leave a comment!
You must be logged in first