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Thisresearch paper describes the biologicalneurons behavior and tries to mimic it using carbon nano-tube field effect transistor. It describes and simulates the response of neuron parts Excitatory and Inhibitory synapse and generate their different patterns by changing control inputs of circuit. Response of synapse is added to mimic dendritic computation of neuron. Finally, use of carbon nano-tube...
A memristor-based architecture for neuromorphic computing is proposed. With memristors mimicking key characteristics of synapses and neurons, such nanoscale neural networks exhibit learning and memory effects with high integration density and scalability. Simulations demonstrate important features including adjustable spike generation, spike-timing and spike-rate dependent plasticity.
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