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To realize NC, electronic analogues of brain components, such as synapses and neurons, must be designed. In spintronics, domain wall (DW) based magnetic tunnel junctions, which offer both synaptic and neuronal functionalities\u2014are one of the promising candidates. An electronic neuron should exhibit leaky\u2010integrate\u2010fire functions, like its biological counterparts. However, most experimental studies focused only on the integrate and fire functions, overlooking the leaky function. Here, we report on a DW neuron device that achieves integration using Spin\u2010Orbit Torque (SOT)\u2010induced DW motion and a leaky function via synthetic antiferromagnetic coupling. By fabricating Hall bar devices in a special geometry, we could accomplish these two functionalities. During the leaky process, the maximum DW velocity exceeded 2500\u00a0\u00b5m\/s. Additionally, we investigated the applicability of our neuron devices using a four\u2010layer Leaky\u2010Integrate\u2010and\u2010Fire (LIF) activated spiking neural network (SNN), achieving 92.57 % accuracy on MNIST and 84.62 % on Fashion\u2010MNIST (F\u2010MNIST) using the PyTorch framework. These results further validate the hardware compatibility of spintronic neurons and highlight their strong potential for enabling next\u2010generation intelligent devices and energy\u2010efficient neuromorphic computing. The proposed design utilizes materials used in SOT\u2010MRAM fabrication and is compatible with CMOS fabrication. Therefore, this neuron can be readily integrated into neuromorphic computing.<\/jats:p>","DOI":"10.1002\/advs.202521732","type":"journal-article","created":{"date-parts":[[2026,2,12]],"date-time":"2026-02-12T09:03:45Z","timestamp":1770887025000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Leaky\u2010Integrate\u2010Fire Neuron via Synthetic Antiferromagnetic Coupling and Spin\u2010Orbit Torque"],"prefix":"10.1002","volume":"13","author":[{"given":"Badsha","family":"Sekh","sequence":"first","affiliation":[{"name":"School of Physical and Mathematical Sciences Nanyang Technological University  Singapore Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Durgesh","family":"Kumar","sequence":"additional","affiliation":[{"name":"School of Physical and Mathematical Sciences Nanyang Technological University  Singapore Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hasibur","family":"Rahaman","sequence":"additional","affiliation":[{"name":"School of Physical and Mathematical Sciences Nanyang Technological University  Singapore Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ravi Shankar","family":"Verma","sequence":"additional","affiliation":[{"name":"Indian Institute of Technology Roorkee  Roorkee Uttarakhand India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ramu","family":"Maddu","sequence":"additional","affiliation":[{"name":"School of Physical and Mathematical Sciences Nanyang Technological University  Singapore Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jianpeng","family":"Chan","sequence":"additional","affiliation":[{"name":"School of Physical and Mathematical Sciences Nanyang Technological University  Singapore Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wai Lum William","family":"Mah","sequence":"additional","affiliation":[{"name":"School of Physical and Mathematical Sciences Nanyang Technological University  Singapore Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Stuart S. 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