Classification and regression of spatio-temporal signals using NeuCube and its realization on SpiNNaker neuromorphic hardware

Autor: Zied Tayeb, Nikola Kasabov, Josafath I. Espinosa-Ramos, Cyrine Bhiri, Gordon Cheng, Steve Furber, Christoph Richter, Jan Behrenbeck, Jörg Conradt, Oliver Rhodes

Publikováno v: Behrenbeck, J, Tayeb, Z, Bhiri, C, Richter, C, Rhodes, O, Kasabov, N, Espinosa-Ramos, J, Furber, S, Cheng, G & Conradt, J 2019, ' Classification and regression of spatio-temporal signals using NeuCube and its realization on SpiNNaker neuromorphic hardware ', Journal of Neural Engineering, vol. 16, no. 2, 026014 . https://doi.org/10.1088/1741-2552/aafabc

Objective. The objective of this work is to use the capability of spiking neural networks to capture the spatio-temporal information encoded in time-series signals and decode them without the use of hand-crafted features and vector-based learning and

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f9b6daa658b8041a59b57de1de13380e
https://pubmed.ncbi.nlm.nih.gov/30577030