Simulations of threshold logic unit problems using memristor based synapses and CMOS neuron

Neuromemristive Circuits for Edge Computing: A Review

“…2) Neuron model based on summing amplifiers and comparators: Most of the ANN implementations use the neuron structures based on the summing amplifiers and comparators [67], [69], [70]. This model is usually used to represent threshold logic based linear neuron model.…”

“…cases, this structure is used for postsynaptic neurons, while presynaptic neurons have various configurations depending on the application of the architectures, or are not even shown in several research works. Different variations of such neurons are shown in Fig [69], [70]. The summing amplifier sums the input currents and outputs the equivalent voltage.…”

“…The summing amplifier sums the input currents and outputs the equivalent voltage. The comparator output the spike or pulse (depending on the configuration of the circuit), when the amplifier output is above the threshold [69], [70]. Fig.…”

“…5. Neuron cells: (a) Modified I&F neuron [68]; (b) memristor-based capacitive neuron [65]; variations of neuron models based on summing amplifier and comparator: (c) [69], [70], [32], (d) [71], (e) [33], and (f) [60]; (g) neuron models with sigmoid activation function [72], (h) neuron model for memristor-bridge architectures [56], [57]; (i) stochastic neuron [73]; and (j) HTM SP neuron [8]. Fig.…”

A New Bio Inspired Majority Device MAJ (A, B, C)

“…Artificial Neural Network is inspired from Natural Neural network. Many logic and arithmetic designs are based these natural networks as mentioned in [12], [13], [14]. In Principe the logic design of neural networks are based on defining the required threshold voltage as well as the number of inputs and their related weights.…”