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For: Huderek D, Szczęsny S, Rato R. Spiking Neural Network Based on Cusp Catastrophe Theory. Foundations of Computing and Decision Sciences 2019;44:273-84. [DOI: 10.2478/fcds-2019-0014] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open

For:	Huderek D, Szczęsny S, Rato R. Spiking Neural Network Based on Cusp Catastrophe Theory. Foundations of Computing and Decision Sciences 2019;44:273-84. [DOI: 10.2478/fcds-2019-0014] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open

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Szczęsny S, Huderek D, Przyborowski Ł. Explainable spiking neural network for real time feature classification. J EXP THEOR ARTIF IN 2021. [DOI: 10.1080/0952813x.2021.1957024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]