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Biological neurons with fault tolerance and logic functions exhibit powerful computing capacity when facing complex real\u2010world problems, which strikes the inspiration for the development of highly energy\u2010efficient brain\u2010like computing. Herein, a novel device architecture, an electrolyte\u2010manipulated ferroelectric organic neuristor, which emulates biological neurons to perform both neuromorphic and reconfigurable logic\u2010in\u2010memory operations in a single cell, is proposed. The interfacial coupling of ions and dipoles in the neuristor contributes to the tunable synaptic behaviors of short\u2010 to long\u2010term plasticity. Notably, by virtue of lateral capacitive coupling, the neuristor is effectively controlled by multiple in\u2010plane gates to achieve heterosynaptic plasticity. An artificial neural network exhibits robust recognition ability with high accuracy of 93.7% in speech recognition, further demonstrating the feasibility of the neuristor for neuromorphic computing. Additionally, reconfigurable logic\u2010in\u2010memory operations (OR and AND) are successfully demonstrated in a single device. Therefore, the devices shed new light on the development of more brain\u2010inspired computing systems in the era of big data.<\/jats:p><\/jats:sec>","DOI":"10.1002\/aisy.202200434","type":"journal-article","created":{"date-parts":[[2023,4,7]],"date-time":"2023-04-07T04:09:40Z","timestamp":1680840580000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Integration of Neuromorphic and Reconfigurable Logic\u2010in\u2010Memory Operations in an Electrolyte\u2010Manipulated Ferroelectric Organic Neuristor"],"prefix":"10.1002","volume":"5","author":[{"given":"Longfei","family":"Li","sequence":"first","affiliation":[{"name":"National Laboratory of Solid-State Microstructures School of Electronic Science and Engineering Collaborative Innovation Center of Advanced Microstructures Nanjing University  Nanjing 210093 P. R. 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