Elamur Research⌕
☰
home / venues / Neural Networks / 2018 / papers / page 2

Neural Networks 2018: all accepted papers

219 papers · page 2 of 3 · the most cited first · ← Neural Networks 2018

1 2 3

  1. Research on a learning rate with energy index in deep learning ↗Huizhen Zhao, Fuxian Liu, Han Zhang et al.41 citations
  2. Roles for globus pallidus externa revealed in a computational model of action selection in the basal ganglia ↗Shreyas M. Suryanarayana, Jeanette Hellgren Kotaleski, Sten Grillner et al.40 citations
  3. Brain electroencephalographic segregation as a biomarker of learning ↗Francesca Miraglia, Fabrizio Vecchio, Paolo Maria Rossini39 citations
  4. Improving efficiency in convolutional neural networks with multilinear filters ↗Dat Thanh Tran, Alexandros Iosifidis, Moncef Gabbouj36 citations
  5. Effect of dilution in asymmetric recurrent neural networks ↗Viola Folli, Giorgio Gosti, Marco Leonetti et al.34 citations
  6. Representation learning using event-based STDP ↗Amirhossein Tavanaei, Timothée Masquelier, Anthony S. Maida34 citations
  7. Dual vigilance fuzzy adaptive resonance theory ↗Leonardo Enzo Brito da Silva, Islam Elnabarawy, Donald C. Wunsch32 citations
  8. Bio-inspired spiking neural network for nonlinear systems control ↗Javier Pérez Fernández, Juan Antonio Cabrera Carrillo, Juan J. Castillo et al.31 citations
  9. Deeply-learnt damped least-squares (DL-DLS) method for inverse kinematics of snake-like robots ↗Olatunji Mumini Omisore, Shipeng Han, Lingxue Ren et al.31 citations
  10. High-resolution Self-Organizing Maps for advanced visualization and dimension reduction ↗Ayu Saraswati, Nguyen Van Tuc, Markus Hagenbuchner et al.30 citations
  11. Design of double fuzzy clustering-driven context neural networks ↗Eun-Hu Kim, Sung‐Kwun Oh, Witold Pedrycz28 citations
  12. Low-rank and sparse embedding for dimensionality reduction ↗Na Han, Jigang Wu, Yingyi Liang et al.28 citations
  13. Multilayer bootstrap networks ↗Xiao-Lei Zhang28 citations
  14. Protocol-based state estimation for delayed Markovian jumping neural networks ↗Jiahui Li, Hongli Dong, Zidong Wang et al.28 citations
  15. Variational inference with Gaussian mixture model and householder flow ↗Guojun Liu, Yang Liu, Maozu Guo et al.25 citations
  16. Emergent neural turing machine and its visual navigation ↗Zejia Zheng, Xiang Wu, Juyang Weng24 citations
  17. The convergence analysis of SpikeProp algorithm with smoothing L1∕2 regularization ↗Junhong Zhao, Jacek M. Żurada, Jie Yang et al.24 citations
  18. Coupled generative adversarial stacked Auto-encoder: CoGASA ↗Mohammad Ahangar Kiasari, Dennis Singh Moirangthem, Minho Lee22 citations
  19. Nonparallel support vector regression model and its SMO-type solver ↗Long Tang, Yingjie Tian, Chunyan Yang22 citations
  20. Learning from label proportions on high-dimensional data ↗Yong Shi, Jiabin Liu, Zhiquan Qi et al.21 citations
  21. Memristive nanowires exhibit small-world connectivity ↗Ross D. Pantone, Jack D. Kendall, Juan C. Nino20 citations
  22. Merging weighted SVMs for parallel incremental learning ↗Lei Zhu, Kazushi Ikeda, Shaoning Pang et al.19 citations
  23. Weighted contrastive divergence ↗Enrique E. Romero, Ferran Mazzanti, Jordi Delgado et al.19 citations
  24. The impact of encoding–decoding schemes and weight normalization in spiking neural networks ↗Zhengzhong Liang, David Schwartz, Gregory Ditzler et al.18 citations
  25. Estimation of neuronal dynamics based on sparse modeling ↗Shinya Otsuka, Toshiaki Omori16 citations
  26. The Growing Curvilinear Component Analysis (GCCA) neural network ↗Giansalvo Cirrincione, Vincenzo Randazzo, Eros Gian Alessandro Pasero15 citations
  27. Evaluating performance of neural codes in model neural communication networks ↗Chris G. Antonopoulos, Ezequiel Bianco-Martínez, Murilo S. Baptista12 citations
  28. A compact network learning model for distribution regression ↗Connie Khor Li Kou, Hwee Kuan Lee, Teck Khim Ng11 citations
  29. A multivariate additive noise model for complete causal discovery ↗Pramod Kumar Parida, Tshilidzi Marwala, Snehashish Chakraverty9 citations
  30. Efficient coding matters in the organization of the early visual system ↗Qingqun Kong, Jiuqi Han, Yi Zeng et al.9 citations
  31. Incremental sparse Bayesian ordinal regression ↗Chang Li, Maarten de Rijke9 citations
  32. Neural circuits for learning context-dependent associations of stimuli ↗Henghui Zhu, Ioannis Ch. Paschalidis, Michael Erik Hasselmo9 citations
  33. Novel deep generative simultaneous recurrent model for efficient representation learning ↗Mahbubul Alam, Lasitha Vidyaratne, Khan M. Iftekharuddin9 citations
  34. A biologically-based computational model of visual cortex that overcomes the X-junction illusion ↗Parvin Zarei Eskikand, Tatiana Kameneva, Michael R. Ibbotson et al.8 citations
  35. A self-organizing short-term dynamical memory network ↗Callie Federer, Joel Zylberberg7 citations
  36. Learning to activate logic rules for textual reasoning ↗Yiqun Yao, Jiaming Xu, Jing Yuan Shi et al.6 citations
  37. The importance of recurrent top-down synaptic connections for the anticipation of dynamic emotions ↗Martial Mermillod, Yannick Bourrier, Erwan Joël David et al.6 citations
  38. Introduction to the special issue on deep reinforcement learning:An editorial ↗Ron Sun, David Silver, Gerald J. Tesauro et al.5 citations
  39. Monostable multivibrators as novel artificial neurons ↗Lars Keuninckx, Jan Danckaert, Guy Van der Sande5 citations
  40. A video-driven model of response statistics in the primate middle temporal area ↗Omid Rezai, Pinar Boyraz Jentsch, Bryan Tripp4 citations

1 2 3

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/venues/neural-networks/2018/papers/page/2/