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文献信息
The International Journal of Neural Systems is a monthly rigorously peer-reviewed transdisciplinary journal which covers information processing in natural and artificial neural systems. Subjects of special interests are machine learning, computational neuroscience and neurology, and innovative and high-impact articles that cross multiple fields including neurosciences and computer science and engineering. Authors are strongly encouraged to review recent issues of the journal before submission. The journal presents a fresh, undogmatic attitude towards this multi-disciplinary field, aiming to be a forum for novel ideas and improved understanding of collective and cooperative phenomena in systems with computational capabilities.
Neural NetworksNeural NetworkBrain-Computer InterfaceFunctional ConnectivityNeural SystemsArtificial Neural NetworksIndependent Component AnalysisLearning AlgorithmSpiking Neural NetworkConvolutional Neural NetworksEpileptic SeizuresSupport Vector MachineMotor ImagerySpiking Neural Membrane SystemsConvolutional Neural NetworkSupport Vector MachinesMembrane ComputingDeep LearningNeural Network ModelMachine Learning
vol.36 (2026)
vol.35 (2025)
vol.34 (2024)
vol.33 (2023)
vol.32 (2022)
vol.31 (2021)
vol.30 (2020)
vol.29 (2019)
vol.28 (2018)
vol.27 (2017)
vol.26 (2016)
vol.25 (2015)
vol.24 (2014)
vol.23 (2013)
vol.22 (2012)
vol.21 (2011)
vol.20 (2010)
vol.19 (2009)
vol.18 (2008)
vol.17 (2007)
vol.16 (2006)
vol.15 (2005)
vol.8 (1997)
vol.7 (1996)
vol.6 (1995)
vol.5 (1994)
vol.3 (1992)