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Authors Journal Volume Issue Page Year PKV Page view
161 Nonlinear Neural Dynamics and Classification Accuracy in Reservoir Computing
Claus Metzner, Achim Schilling, Andreas Maier, Patrick Krauss Neural Computation 37 8 1469–1504 2025 44.94
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162 Semisupervised Deep Stacking Network with Adaptive Learning Rate Strategy for Motor Imagery EEG Recognition
Xian-Lun Tang, Wei-Chang Ma, De-Song Kong, Wei Li Neural Computation 31 5 919–942 2019 44.92
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163 Parameter Estimation in Multiple Dynamic Synaptic Coupling Model Using Bayesian Point Process State-Space Modeling Framework
Yalda Amidi, Behzad Nazari, Saeid Sadri, Ali Yousefi Neural Computation 33 5 1269–1299 2021 44.9
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164 A Categorical Framework for Quantifying Emergent Effects in Network Topology
Johnny Jingze Li, Sebastian Pardo-Guerra, Kalyan Basu, Gabriel A. Silva Neural Computation 37 8 1409–1438 2025 44.83
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165 Margin Error Bounds for Support Vector Machines on Reproducing Kernel Banach Spaces
Liangzhi Chen, Haizhang Zhang Neural Computation 29 11 3078–3093 2017 44.79
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166 Circuit Polarity Effect of Cortical Connectivity, Activity, and Memory
Yoram Baram Neural Computation 30 11 3037–3071 2018 44.77
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167 IAN: Iterated Adaptive Neighborhoods for Manifold Learning and Dimensionality Estimation
Luciano Dyballa, Steven W. Zucker Neural Computation 35 3 453–524 2023 44.4
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168 Integrating Flexible Normalization into Midlevel Representations of Deep Convolutional Neural Networks
Luis Gonzalo Sánchez Giraldo, Odelia Schwartz Neural Computation 31 11 2138–2176 2019 44.27
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169 Multi-Instance Dimensionality Reduction via Sparsity and Orthogonality
Hong Zhu, Li-Zhi Liao, Michael K. Ng Neural Computation 30 12 3281–3308 2018 44.21
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170 A Discrete-Time Neurodynamic Approach to Sparsity-Constrained Nonnegative Matrix Factorization
Xinqi Li, Jun Wang, Sam Kwong Neural Computation 32 8 1531–1562 2020 44.2
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