Fig. 4: Gaussian non-linearity and mismatch characteristic curve. | npj 2D Materials and Applications

Fig. 4: Gaussian non-linearity and mismatch characteristic curve.

From: Hybrid architecture based on two-dimensional memristor crossbar array and CMOS integrated circuit for edge computing

Fig. 4: Gaussian non-linearity and mismatch characteristic curve.The alternative text for this image may have been generated using AI.

a Output current characteristic plot at the output of each N and P-type Gaussian cell shown in Fig. 2a when two inputs \(x_{j1}\) and \(x_{j2}\) are varied simultaneously from 0 to 1.8 volts and other inputs \((x_{j3} - x_{j9})\) are fixed constants. b Plot of output current at the output of 1D Gaussian cell (\(I_{\rm{{out1}}}\) in Fig. 2c, d) when Vbias is varied from 0 to 1.8 V and all other inputs in a 9D Gaussian cell is kept constant. c Variation in output current amplitude of 200 hidden neurons exhibiting a log-normal distribution for fixed input voltages due to process, mismatch and gain.

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