Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/70431
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dc.contributor.authorSuryadi-
dc.date.accessioned2017-04-24T06:48:56Z-
dc.date.available2017-04-24T06:48:56Z-
dc.date.issued2017-
dc.identifier.urihttp://hdl.handle.net/10356/70431-
dc.description.abstractThe biological brain is made up of communicating cells known as neurons, capable of emergent phenomena such as cognition and decision making. In this thesis we conduct an extensive literature review to understand a fundamental basis to these emergent phenomena - brain information processing. We then consider the Neural Engineering Framework (NEF) and build a brain model with it in the context of the TicTacToe game to further understand decision making as represented in the framework. Among other results, we found that the framework allows a natural implementation of pattern processing and that the same information to be decoded in different ways. This suggests that NEF is suitable for modeling expert performances, particularly in the context of games such as chess where the options and patterns are well-defined.en_US
dc.format.extent84 p.en_US
dc.language.isoenen_US
dc.subjectDRNTU::Scienceen_US
dc.titleStudying brain information processing through a TicTacToe modelen_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorChew Lock Yueen_US
dc.contributor.schoolSchool of Physical and Mathematical Sciencesen_US
dc.description.degreeBachelor of Science in Physicsen_US
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Appears in Collections:SPMS Student Reports (FYP/IA/PA/PI)
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