{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,4]],"date-time":"2025-05-04T04:01:57Z","timestamp":1746331317821,"version":"3.40.4"},"reference-count":20,"publisher":"Institute of Electronics, Information and Communications Engineers (IEICE)","issue":"5","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEICE Trans. Inf. & Syst."],"published-print":{"date-parts":[[2025,5,1]]},"DOI":"10.1587\/transinf.2024edp7022","type":"journal-article","created":{"date-parts":[[2024,11,12]],"date-time":"2024-11-12T22:11:20Z","timestamp":1731449480000},"page":"411-419","source":"Crossref","is-referenced-by-count":0,"title":["Effects of Numerical Method Selection on Fully-Pipelined FPGA Accelerators for Neural Simulations"],"prefix":"10.1587","volume":"E108.D","author":[{"given":"Xiaoxiao","family":"ZHOU","sequence":"first","affiliation":[{"name":"AXE Inc."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yukinori","family":"SATO","sequence":"additional","affiliation":[{"name":"Toyohashi University of Technology"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"532","reference":[{"key":"1","doi-asserted-by":"crossref","unstructured":"[1] G. Smaragdos, S. Isaza, M.F. van Eijk, I. Sourdis, C. Strydis, \u201cFPGA-based biophysically-meaningful modeling of olivocerebellar neurons\u201d Proceedings of the 2014 ACM\/SIGDA international symposium on Field-programmable gate arrays, pp.89-98, 2014. 10.1145\/2554688.2554790","DOI":"10.1145\/2554688.2554790"},{"key":"2","doi-asserted-by":"publisher","unstructured":"[2] G. Smaragdos, C. Davies, C. Strydis, I. Sourdis, C. Ciobanu, O. Mencer, and C.I. De Zeeuw, \u201cReal-time olivary neuron simulations on dataflow computing machines\u201d Supercomputing: 29th International Conference, ISC 2014, Leipzig, Germany, June 22-26, 2014. Proceedings 29, pp.487-497, 2014. 10.1007\/978-3-319-07518-1_34","DOI":"10.1007\/978-3-319-07518-1_34"},{"key":"3","doi-asserted-by":"publisher","unstructured":"[3] G. Smaragdos, G. Chatzikonstantis, R. Kukreja, H. Sidiropoulos, D. Rodopoulos, I. Sourdis, Z. Al-Ars, C. Kachris, D. Soudris, C.I. De Zeeuw, and C. Strydis, \u201cBrainFrame: a node-level heterogeneous accelerator platform for neuron simulations,\u201d Journal of neural engineering, vol.14, no.6, pp.066008, 2017. 10.1088\/1741-2552\/aa7fc5","DOI":"10.1088\/1741-2552\/aa7fc5"},{"key":"4","doi-asserted-by":"crossref","unstructured":"[4] M. Ogaki and Y. Sato, \u201cHodgkin-Huxley-Based Neural Simulation with Networks Connecting to Near-Neighbor Neurons,\u201d 2021 IEEE 32nd International Conference on Application-specific Systems, Architectures and Processors (ASAP), pp.109-116, 2021. 10.1109\/asap52443.2021.00024","DOI":"10.1109\/ASAP52443.2021.00024"},{"key":"5","doi-asserted-by":"publisher","unstructured":"[5] T. Yamazaki, J. Igarashi, J. Makino, and T. Ebisuzaki, \u201cReal-time simulation of a cat-scale artificial cerebellum on PEZY-SC processors,\u201d The International Journal of High Performance Computing Applications, vol.33, no.1, pp.155-168, 2019. 10.1177\/1094342017710705","DOI":"10.1177\/1094342017710705"},{"key":"6","doi-asserted-by":"publisher","unstructured":"[6] L.F. Abbott, \u201cLapicque\u2019s introduction of the integrate-and-fire model neuron (1907),\u201d Brain research bulletin, vol.50, no.5-6, pp.303-304, 1999. 10.1016\/s0361-9230(99)00161-6","DOI":"10.1016\/S0361-9230(99)00161-6"},{"key":"7","doi-asserted-by":"publisher","unstructured":"[7] S. Ghosh-Dastidar, H. Adeli, \u201cSpiking neural networks,\u201d International journal of neural systems, vol.19, no.04, pp.295-308, 2009. 10.1142\/s0129065709002002","DOI":"10.1142\/S0129065709002002"},{"key":"8","doi-asserted-by":"publisher","unstructured":"[8] J.R. De Gruijl, P. Bazzigaluppi, M.T.G. de Jeu, and C.I. De Zeeuw, \u201cClimbing fiber burst size and olivary sub-threshold oscillations in a network setting,\u201d PLoS computational biology, vol.8, no.12, p.e1002814, 2012. 10.1371\/journal.pcbi.1002814","DOI":"10.1371\/journal.pcbi.1002814"},{"key":"9","doi-asserted-by":"publisher","unstructured":"[9] A.L. Hodgkin and A.F. Huxley, and B. Katz, \u201cMeasurement of current-voltage relations in the membrane of the giant axon of Loligo,\u201d The Journal of physiology, vol.116, no.4, pp.424-448, 1952. 10.1113\/jphysiol.1952.sp004716","DOI":"10.1113\/jphysiol.1952.sp004716"},{"key":"10","doi-asserted-by":"crossref","unstructured":"[10] A.L. Hodgkin and A.F. Huxley, \u201cCurrents carried by sodium and potassium ions through the membrane of the giant axon of Loligo,\u201d The Journal of physiology, vol.116, no.4, pp.449-472, 1952. 10.1113\/jphysiol.1952.sp004717","DOI":"10.1113\/jphysiol.1952.sp004717"},{"key":"11","doi-asserted-by":"publisher","unstructured":"[11] A.L. Hodgkin and A.F. Huxley, \u201cThe components of membrane conductance in the giant axon of Loligo,\u201d The Journal of physiology, vol.116, no.4, pp.473-496, 1952. 10.1113\/jphysiol.1952.sp004718","DOI":"10.1113\/jphysiol.1952.sp004718"},{"key":"12","doi-asserted-by":"crossref","unstructured":"[12] A.L. Hodgkin and A.F. Huxley, \u201cA quantitative description of membrane current and its application to conduction and excitation in nerve,\u201d The Journal of physiology, vol.117, no.4, pp.500-544, 1952. 10.1113\/jphysiol.1952.sp004764","DOI":"10.1113\/jphysiol.1952.sp004764"},{"key":"13","unstructured":"[13] B.N. Biswas, S. Chatterjee, S.P. Mukherjee, and S. Pal, \u201cA discussion on Euler method: A review,\u201d Electronic Journal of Mathematical Analysis and Applications, vol.1, no.2, pp.2090-2792, 2013."},{"key":"14","doi-asserted-by":"publisher","unstructured":"[14] D.J. Evans, \u201cA new 4th order Runge-Kutta method for initial value problems with error control,\u201d International Journal of Computer Mathematics, vol.39, no.3-4, pp.217-227, 1991. 10.1080\/00207169108803994","DOI":"10.1080\/00207169108803994"},{"key":"15","unstructured":"[15] P. Senin, \u201cDynamic time warping algorithm review,\u201d Information and Computer Science Department University of Hawaii at Manoa Honolulu, USA, vol.855, no.1-23, p.40, 2008."},{"key":"16","unstructured":"[17] X. Zhou, \u201cFPGA-Based High-Speed Neural Simulation with Gaussian-Distributed 3D Connectivity,\u201d Master thesis, Toyohashi University of Technology, 2023."},{"key":"17","doi-asserted-by":"publisher","unstructured":"[18] T. Yamazaki, J. Igarashi, and H. Yamaura, \u201cHuman-scale brain simulation via supercomputer: A case study on the cerebellum,\u201d Neuroscience, vol.462, pp.235-246, 2021. 10.1016\/j.neuroscience.2021.01.014","DOI":"10.1016\/j.neuroscience.2021.01.014"},{"key":"18","unstructured":"[19] S. H\u00f6ppner and C. Mayr, \u201cSpinnaker2-towards extremely efficient digital neuromorphics and multi-scale brain emulation,\u201d Proc. Neuro Inspired Comput. Elements Workshop, 2018."},{"key":"19","unstructured":"[20] C. Mayr, S. Hoeppner, and S. Furber, \u201cSpiNNaker 2: A 10 million core processor system for brain simulation and machine learning,\u201d tech. rep., arXiv preprint arXiv.1911.02385, 2019."},{"key":"20","doi-asserted-by":"publisher","unstructured":"[21] M.A. Vlag, G. Smaragdos, Z. Al-Ars, and C. Strydis, \u201cExploring complex brain-simulation workloads on multi-gpu deployments,\u201d ACM Transactions on Architecture and Code Optimization (TACO), vol.16, no.4, pp.1-25, 2019. 10.1145\/3371235","DOI":"10.1145\/3371235"}],"container-title":["IEICE Transactions on Information and Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transinf\/E108.D\/5\/E108.D_2024EDP7022\/_pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,3]],"date-time":"2025-05-03T03:46:33Z","timestamp":1746243993000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transinf\/E108.D\/5\/E108.D_2024EDP7022\/_article"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,5,1]]},"references-count":20,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2025]]}},"URL":"https:\/\/doi.org\/10.1587\/transinf.2024edp7022","relation":{},"ISSN":["0916-8532","1745-1361"],"issn-type":[{"type":"print","value":"0916-8532"},{"type":"electronic","value":"1745-1361"}],"subject":[],"published":{"date-parts":[[2025,5,1]]},"article-number":"2024EDP7022"}}