Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/137941
Title: LEARNING AND MEMORY IN NEURAL NETWORKS
Authors: ZHANG XIAOYU
ORCID iD:   orcid.org/0000-0001-6243-817X
Keywords: learning, memory, neural network, plasticity, MEA, NMDAR
Issue Date: 8-Aug-2017
Citation: ZHANG XIAOYU (2017-08-08). LEARNING AND MEMORY IN NEURAL NETWORKS. ScholarBank@NUS Repository.
Abstract: In this thesis, the study of neural networks was approached by two models: in silico neural networks with bidirectional synaptic plasticity and in vitro biological neuronal networks cultured on Multielectrode Arrays. A learning protocol was applied in which networks were given complex image patterns as sensory inputs, and network responses to both the trained and control patterns were recorded to evaluate if familiarity had been acquired. Similar observations were obtained for both the simulated and biological models: the networks acquired familiarity to the sensory inputs through unsupervised learning, and exhibited differential responses to familiar (trained) and novel (control) patterns. Familiar patterns consistently elicited the highest firing rate increase after sensory exposure, demonstrating the networks’ ability to learn complex images with a degree of specificity. This ability does not require a specialized wiring diagram or supervision, and can therefore be expected to emerge naturally in developing cortical circuits.
URI: http://scholarbank.nus.edu.sg/handle/10635/137941
Appears in Collections:Ph.D Theses (Open)

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