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Study of Mn doped HfO₂ based synaptic devices for neuromorphic applications
Table of Contents
Abstract
Acknowledgements
Table of Contents
List of Tables
List of Figures
1 Introduction and Literature Review
1.1 The Human Brain: A brief outline
1.2 Neurons
1.3 Synapses
1.4 Learning and Plasticity
1.5 Neuromorphic computing using VLSI
1.6 Memristor
1.7 Synaptic Devices
1.8 Advantages of synaptic devices
2 Ru/Mn:HfO2/TiO2-x/Ru Memristive Devices
2.1 Fabrication
2.2 Electrical Characterization
2.3 Synaptic Behavior
2.3.1 STP and LTP
2.3.2 Implementation of STDP
3 Memristive Devices for STDP in Crossbar array
3.1 Fabrication
3.2 Device Characterization
3.2.1 Electrical Setup
3.2.2 Device Characteristics
3.3 STDP Simulation
4 Speech recognition using Memristive devices
4.1 Device Characteristics
4.2 Device modeling
4.3 STDP and Speech recognition
5 Working memory application
5.1 Relevance of Working Memory
5.2 Device Modeling and Analogy
5.3 Working memory application
6 Conclusions and Future Work
6.1 Conclusions
6.2 Future Work
References
A Process flow Ru/Mn:HfO2/TiO2-x/Ru
B Process flow Ru/Mn:HfO2/TiN/W
C E-beam Crossbar structure Mask Design
D Process flow for Silicon Nitride deposition and Etching Bài viết liên quan
