Fig. 8
From: NeoHebbian synapses to accelerate online training of neuromorphic hardware
Heatmap compares the average number of episodes required to reach the learning benchmark across different grid sizes: a \(3 \times 3\) grid, b \(5 \times 5\) grid, c \(7 \times 7\) grid, and d \(10 \times 10\) obtained by considering the impact of temperature decay and memistor variability. Simulation results, which are the mean of 20 runs for each unique combination of \(\gamma\) and variability in each grid size, are obtained using a pair of ReRAM devices in a differential configuration to implement a synapse, with each ReRAM device assumed to have 7-bit precision.
