Title Page
Contents
List of Acronyms and Abbreviations 7
ABSTRACT 8
Chapter 1. INTRODUCTION 9
1.1. INTRODUCTION 9
1.2. Motivation 11
1.3. Research Goals and Contributions 13
1.4. Devices and Models 13
1.4.1. CMOS 13
1.4.2. CMOS MODELS 15
1.5. NEURAL NETWORKS AND 19
1.5.1. Feed-Forward Neural Network (FFNN) 21
1.5.2. Recurrent Neural Network (FFNN) 22
1.5.3. Spiking Neural Network (SSN) 23
Chapter 2. NEURON MODEL 25
2.1. Biological, Artificial, and Spiking Neurons 25
2.2. Spiking Neuron 27
2.3. Action Potential and Signal Propagation 31
2.4. Analog Spiking Neuron 33
2.5. Low-Power Axon-Hillock circuit 35
2.6. Proposed Integrated and Fire Neuron Circuit 37
2.7. Homeostatic Synapse 42
2.8. Proposed homeostatic plasticity synapse 43
Chapter 3. SPIKING NEURAL NETWORK 48
3.1. Neuron Synapse Chain 48
3.2. Spike Timing Dependent Plasticity (STDP) 50
3.3. STRUCTURE OF A SPIKE NEURAL NETWORK 54
Chapter 4. Chip fabrication and measurement 60
4.1. Chip fabrication and measurement 60
Chapter 5. Conclusion 64
REFERENCES 66