Magnetic Tunnel Junction (MTJ) as Stochastic Neurons and Synapses

Full Title: Magnetic Tunnel Junction (MTJ) as Stochastic Neurons and Synapses: Stochastic Binary Neural Networks, Bayesian Inferencing, Optimization Problems

Table of Contents:
00:00 Magnetic Tunnel Junction (MTJ) as Stochastic Neurons and Synapses: Stochastic Binary Neural Networks Bayesian Inferencing Optimization Problems
01:05 Magnet/ Eb/ Barrier Height and Retention Time
04:03 Stochastic Switching of MTJs
07:56 Earlier work on STT-based Stochastic Devices
10:43 Stochastic Bits in Other Technologies
12:23 Stochastic Computing: From Devices to Circuits and Systems
13:48 Stochastic Neural Networks
14:11 Biological & Artificial Neural Networks
17:09 Artificial Neural Networks: Simple Model
18:48 MTJ Mimics Biological Spiking Neuron
22:02 Stochastic Neuron
24:59 Stochastic Neuron: Read/Write Circuits
27:59 Synaptic Behavior: Spike Timing Dependent Plasticity
31:12 Stochastic STDP in SHE-MTJ Synapse
32:59 Decoupled Spike Transmission and Learning Current Paths
35:16 Self-learning in Spiking Neural Networks
36:01 Results for Fully-connected SNN Composed of Stochastic Binary (one-bit) Synapses
36:44 S-STDP: Hebbian Potentiation/ Anti-Hebbian Depression
38:19 Stochastic STDP for Quantized (two-bit) Synapse
39:06 Fully-connected Binary SNN: Results
40:05 StOCNet: Stochastic One-Bit Convolutional Spiking Neural Network
40:54 All Spin Binary Stochastic Neural Network
42:50 All Spin Binary Stochastic Neural Network
43:24 Lower-Barrier Magnets
43:39 Low Barrier MTJs
44:45 Synchronous Architecture (High EB)
45:29 Asynchronous Networks
46:36 Resiliency to variations in the Supply Voltages
47:42 Dimension Variations
48:16 Accuracy and Speed
49:10 Stochastic Bits for Combinatorial Optimization
49:39 Stochastic Computing: From Devices to Circuits and Systems
49:48 Ising Computing Model (Restricted Boltzman Machine): Combinatorial Optimization (fonts)
51:57 Majority vote function with stochastic MTJ
52:41 Application: Graph Coloring
53:10 Simulation Framework
54:04 Conclusions