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Networks of Memristive Devices as Building Blocks for Neuromporhic Computing

Huijzer, Anne-Men (2019) Networks of Memristive Devices as Building Blocks for Neuromporhic Computing. Master's Thesis / Essay, Applied Mathematics.


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In this thesis we give an introduction to neuromorphic computing, a new computing paradigm. We suggest memristive devices as potential building blocks for this new computing paradigm. To motivate that, we exhibit four different mathematical models which describe the mathematical behavior of a memristive device. Here, we make a link between memristive devices and spike-timing dependent plasticity. Furthermore, we will consider networks of memristive devices and develop tools for modelling and analysis of their external behavior. We will see that the dynamical behavior of networks of memristive devices is different from that of a single memristive device. This suggests that proper design of the network structure can be used to achieve desired memristive behavior needed for using these devices as building blocks for neuromorphic computing.

Item Type: Thesis (Master's Thesis / Essay)
Supervisor name: Besselink, B.
Degree programme: Applied Mathematics
Thesis type: Master's Thesis / Essay
Language: English
Date Deposited: 09 May 2019
Last Modified: 10 May 2019 10:39

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