Advances in Neuromorphic Hardware Exploiting Emerging Nanoscale Devices by Manan Suri

Author:Manan Suri
Language: eng
Format: epub
Publisher: Springer India, New Delhi

3.1 Example of a Feed-Forward Spiking Neural Network Using MTJ-based Synapses

3.1.1 Architecture and Operation of the System

Fig. 8Cartoon of the 1R crossbar architecture for the learning system, during read operation, which occurs whenever an input neuron spikes and applies a (R1) waveform. The two types of concurrently used voltage waveforms are sketched on the right. Each input neuron () is connected to every output neuron () through a STT-MTJ synapse. At the top of the figure, one can see some frames made from the input spikes: vehicles are driving toward the DVS retina, on six different lanes (dotted yellow lines)

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