Memristor neuromorphic circuitbased on Stroop effect
Implementing memristor-based neural circuits to mimic the neuromorphic behavior of living or-ganismsis is an interesting subject.In this work,a memristor-based neural circuit with cognitive and error correcting functions based on Stroop effect is proposed.Firstly,an improved memristor model,which is considered as the coupling synapse,is proposed.Then,a simplified Stroop model is induced.Next,based on the simplified Stroop model,a complete neural circuit with three inputs and three outputs is developed in this study,which always responds quickly to the dominant reaction,i.e.,word recognition.Due to the in-terference from dominant reaction,the circuit responses slowly to the non-dominant reaction(color recogni-tion).Specially,when the ink does not match the word,a wrong color recognition occurs.In this case,the error correction module produces a compensate signal and makes the correct recognition display in the reaction modules.Thus,the neural circuit can successfully simulate the cognitive and error correction processes of Stroop effect.Finally,PSpice simulation is carried out to verify the correctness and effective-ness of the neural circuit.
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