Date of Award

Summer 6-2019

Document Type

Thesis

Degree Name

Bachelor Degree

Department

Computer Science

First Advisor

Bertan Karahoda

Language

English

Abstract

Understanding how the brain works is a challenge that is attracting a number of scientists from many disciplines. This thesis is a study, to understand some of the models that explain the procedure how the brain works. By understanding computational models of the brain, we as programmers can create simulated programs that try to mimic brain behavior, and using them in many divisions of technology. CNS is very wide field and has so many things to cover this thesis will cover the basic construction of the brain, from neurons, as the principle cell of nervous system, to understand their complex behavior and how they communicate to produce a powerful bio machine as the brain. What form of communication do neurons use and how much have been uncovered to fully understand the brain code? What are some of technological devices that help use to decode and encode brain language? What models are used to model a single neuron and a neural network. As our eyes are the most used sensors to receive information, receptive field can provide some of the models to understand how the brain process data. After explaining basic information how biological neurons works, in thesis will be reviewed some of the Spiking Neuron Models and computational neuron behaviors comparing them to conclude which of them is the best on using to build a SNN.

DOI

10.33107/ubt-etd.2019.1690

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