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Fig 1.

Design flow of bio-inspired artificial neurons.

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Fig 1 Expand

Fig 2.

Biological neuron network.

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Fig 3.

Structure of artificial neuron network.

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Fig 4.

Action potential of the membrane.

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Fig 5.

Memristor model and device symbol.

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Fig 6.

Memristor: (a) input, and output waveform; (b) hysteresis loop for frequency f = 50MHz.

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Fig 6 Expand

Table 1.

Memristor values.

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Table 1 Expand

Fig 7.

Memristor synapse.

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Fig 8.

Memristor DT1M synapse.

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Fig 9.

Memristor DTDM synapse.

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Table 2.

Model parameter values for ML neuron model.

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Fig 10.

Proposed memristor based ML neuron network with DTDM.

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Table 3.

Synaptic weight of memristor.

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Table 4.

Parameter values for proposed neuron network circuit.

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Table 5.

Performance metrics of proposed neuron network.

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Fig 11.

Proposed neuron network with DT1M synapse simulation results.

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Fig 12.

Proposed neuron network with DT1M synapse simulation results.

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Fig 13.

Proposed neuron network with DTDM synapse simulation results.

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Fig 14.

Proposed neuron network with DTDM synapse simulation results.

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Fig 15.

Proposed neuron network with DTDM synapse membrane voltage for Iex = 20 pA.

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Fig 16.

Proposed neuron network with DTDM synapse membrane voltage for Iex = 60 pA.

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Table 6.

Comparison between the proposed neuron with existing designs.

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Table 6 Expand

Fig 17.

Spike frequency and power consumption versus excitation current with VDD=100 mv, Ck=8 fF and Cm=12 fF.

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Fig 18.

Spike frequency and power consumption versus capacitance Ck with Cm= 25 fF and Iex= 20 pA.

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Fig 19.

Output voltage Vp-p and power consumption versus temperature with Iex = 20 pA, Ck = 8 fF, and Cm = 12 fF.

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Fig 20.

Spike frequency versus temperature with Iex = 20 pA, Ck = 8 fF, and Cm = 12 fF.

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Fig 21.

Power consumption and spike frequency versus supply voltage with Iex = 20 pA, Ck = 8 fF, and Cm = 12 fF.

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Fig 22.

Energy (fJ/spike)versus excitation current with VDD=100 mv, Ck=8 fF and Cm=12 fF.

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Fig 23.

Comparison analysis for proposed neurons.

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