{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/proposal-for-a-leaky-integrate-fire-spiking","title":"Proposal for a Leaky-Integrate-Fire Spiking Neuron based on Magneto-Electric Switching of Ferro-magnets","arxiv_id":"1609.09158","date":"2016-09-29","proceeding":null,"authors":["Akhilesh Jaiswal","Sourjya Roy","Gopalakrishnan Srinivasan","Kaushik Roy"],"abstract":"The efficiency of the human brain in performing classification tasks has\nattracted considerable research interest in brain-inspired neuromorphic\ncomputing. Hardware implementations of a neuromorphic system aims to mimic the\ncomputations in the brain through interconnection of neurons and synaptic\nweights. A leaky-integrate-fire (LIF) spiking model is widely used to emulate\nthe dynamics of neuronal action potentials. In this work, we propose a spin\nbased LIF spiking neuron using the magneto-electric (ME) switching of\nferro-magnets. The voltage across the ME oxide exhibits a typical\nleaky-integrate behavior, which in turn switches an underlying ferro-magnet.\nDue to the effect of thermal noise, the ferro-magnet exhibits probabilistic\nswitching dynamics, which is reminiscent of the stochasticity exhibited by\nbiological neurons. The energy-efficiency of the ME switching mechanism coupled\nwith the intrinsic non-volatility of ferro-magnets result in lower energy\nconsumption, when compared to a CMOS LIF neuron. A device to system-level\nsimulation framework has been developed to investigate the feasibility of the\nproposed LIF neuron for a hand-written digit recognition problem","url_abs":"http://arxiv.org/abs/1609.09158v1","url_pdf":"http://arxiv.org/pdf/1609.09158v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"proposal-for-a-leaky-integrate-fire-spiking","repo_url":"https://github.com/Lornatang/ESPCN-PyTorch","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}