Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/36247
Title: Simulation of neural network in autism
Authors: Tan, Li Hwa.
Keywords: DRNTU::Engineering::Computer science and engineering::Computer applications::Life and medical sciences
Issue Date: 2010
Abstract: This report presents a project in artificial neural network. It aims to create a neurocomputational model for autism. The specific neural network implemented will be Self Organization Maps (SOM). Such topic has been previously investigated by others. The projects aim to verify conclusion drawn from past developments and characteristic of autism through simulation of neural network in autism. Familiarity inclination and attention shift impairment, features identified in autism will be simulated and program outputs will be discussed in details. Result corresponding to cortical map viewed in normal human being will be explored and compared with autism traits simulated. This report will also be covering the impact of contrasting values used for learning rate, training length, data input format and neighbouring function on cortical maps generated.
URI: http://hdl.handle.net/10356/36247
Schools: School of Computer Engineering 
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)

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