---
title: "Neural Networks 2018 — all accepted papers, page 2"
description: "All 219 papers of Neural Networks 2018 · page 2 of 3, the most cited first; those with our summary link to it."
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# Neural Networks 2018: all accepted papers

219 papers · page 2 of 3 · the most cited first · [← Neural Networks 2018](https://md.research.elamur.ai/free/en/venues/neural-networks/2018/)

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101. **[Research on a learning rate with energy index in deep learning ↗](https://doi.org/10.1016/j.neunet.2018.12.009)**Huizhen Zhao, Fuxian Liu, Han Zhang et al.*41 citations*
102. **[Unsupervised feature extraction by low-rank and sparsity preserving embedding ↗](https://doi.org/10.1016/j.neunet.2018.10.001)**Shanhua Zhan, Jigang Wu, Na Han et al.*41 citations*
103. **[Roles for globus pallidus externa revealed in a computational model of action selection in the basal ganglia ↗](https://doi.org/10.1016/j.neunet.2018.10.003)**Shreyas M. Suryanarayana, Jeanette Hellgren Kotaleski, Sten Grillner et al.*40 citations*
104. **[Brain electroencephalographic segregation as a biomarker of learning ↗](https://doi.org/10.1016/j.neunet.2018.07.005)**Francesca Miraglia, Fabrizio Vecchio, Paolo Maria Rossini*39 citations*
105. **[Generalized pinning synchronization of delayed Cohen–Grossberg neural networks with discontinuous activations ↗](https://doi.org/10.1016/j.neunet.2018.04.006)**Dongshu Wang, Lihong Huang, Longkun Tang et al.*39 citations*
106. **[An Arcak-type state estimation design for time-delayed static neural networks with leakage term based on unified criteria ↗](https://doi.org/10.1016/j.neunet.2018.06.015)**R. Manivannan, S. Panda, Kil To Chong et al.*38 citations*
107. **[A sparsity-based stochastic pooling mechanism for deep convolutional neural networks ↗](https://doi.org/10.1016/j.neunet.2018.05.015)**Zhenhua Song, Yan Liu, Rong Song et al.*37 citations*
108. **[Adaptive critic designs for optimal control of uncertain nonlinear systems with unmatched interconnections ↗](https://doi.org/10.1016/j.neunet.2018.05.005)**Xiong Yang, Haibo He*37 citations*
109. **[An improved robust heteroscedastic probabilistic neural network based trust prediction approach for cloud service selection ↗](https://doi.org/10.1016/j.neunet.2018.08.005)**Nivethitha Somu, M. R. Gauthama Raman, V. Kalpana et al.*37 citations*
110. **[Delay-dependent dynamical analysis of complex-valued memristive neural networks: Continuous-time and discrete-time cases ↗](https://doi.org/10.1016/j.neunet.2018.01.015)**Jinling Wang, Haijun Jiang, Tianlong Ma et al.*36 citations*
111. **[Improving efficiency in convolutional neural networks with multilinear filters ↗](https://doi.org/10.1016/j.neunet.2018.05.017)**Dat Thanh Tran, Alexandros Iosifidis, Moncef Gabbouj*36 citations*
112. **[Pinning impulsive synchronization for stochastic reaction–diffusion dynamical networks with delay ↗](https://doi.org/10.1016/j.neunet.2018.07.009)**Huabin Chen, Peng Jia Shi, Cheng‐Chew Lim*35 citations*
113. **[Effect of dilution in asymmetric recurrent neural networks ↗](https://doi.org/10.1016/j.neunet.2018.04.003)**Viola Folli, Giorgio Gosti, Marco Leonetti et al.*34 citations*
114. **[Representation learning using event-based STDP ↗](https://doi.org/10.1016/j.neunet.2018.05.018)**Amirhossein Tavanaei, Timothée Masquelier, Anthony S. Maida*34 citations*
115. **[Dual vigilance fuzzy adaptive resonance theory ↗](https://doi.org/10.1016/j.neunet.2018.09.015)**Leonardo Enzo Brito da Silva, Islam Elnabarawy, Donald C. Wunsch*32 citations*
116. **[Bio-inspired spiking neural network for nonlinear systems control ↗](https://doi.org/10.1016/j.neunet.2018.04.002)**Javier Pérez Fernández, Juan Antonio Cabrera Carrillo, Juan J. Castillo et al.*31 citations*
117. **[Deeply-learnt damped least-squares (DL-DLS) method for inverse kinematics of snake-like robots ↗](https://doi.org/10.1016/j.neunet.2018.06.018)**Olatunji Mumini Omisore, Shipeng Han, Lingxue Ren et al.*31 citations*
118. **[Manifold regularized matrix completion for multi-label learning with ADMM ↗](https://doi.org/10.1016/j.neunet.2018.01.011)**Bin Liu, Yingming Li, Zenglin Xu*31 citations*
119. **[High-resolution Self-Organizing Maps for advanced visualization and dimension reduction ↗](https://doi.org/10.1016/j.neunet.2018.04.011)**Ayu Saraswati, Nguyen Van Tuc, Markus Hagenbuchner et al.*30 citations*
120. **[Design of double fuzzy clustering-driven context neural networks ↗](https://doi.org/10.1016/j.neunet.2018.03.018)**Eun-Hu Kim, Sung‐Kwun Oh, Witold Pedrycz*28 citations*
121. **[Low-rank and sparse embedding for dimensionality reduction ↗](https://doi.org/10.1016/j.neunet.2018.08.003)**Na Han, Jigang Wu, Yingyi Liang et al.*28 citations*
122. **[Multilayer bootstrap networks ↗](https://doi.org/10.1016/j.neunet.2018.03.005)**Xiao-Lei Zhang*28 citations*
123. **[Protocol-based state estimation for delayed Markovian jumping neural networks ↗](https://doi.org/10.1016/j.neunet.2018.08.017)**Jiahui Li, Hongli Dong, Zidong Wang et al.*28 citations*
124. **[Period-adding bifurcation and chaos in a hybrid Hindmarsh–Rose model ↗](https://doi.org/10.1016/j.neunet.2018.04.009)**Yi Yang, Xiaofeng Liao, Tao Dong*26 citations*
125. **[ADA-Tucker: Compressing deep neural networks via adaptive dimension adjustment tucker decomposition ↗](https://doi.org/10.1016/j.neunet.2018.10.016)**Zhisheng Zhong, Fangyin Wei, Zhouchen Lin et al.*25 citations*
126. **[Estimating regional effects of climate change and altered land use on biosphere carbon fluxes using distributed time delay neural networks with Bayesian regularized learning ↗](https://doi.org/10.1016/j.neunet.2018.08.004)**Andres Schmidt, Whitney Creason, Beverly Elizabeth Law*25 citations*
127. **[Variational inference with Gaussian mixture model and householder flow ↗](https://doi.org/10.1016/j.neunet.2018.10.002)**Guojun Liu, Yang Liu, Maozu Guo et al.*25 citations*
128. **[Accelerated low-rank representation for subspace clustering and semi-supervised classification on large-scale data ↗](https://doi.org/10.1016/j.neunet.2018.01.014)**Jicong Fan, Zhaoyang Tian, Mingbo Zhao et al.*24 citations*
129. **[Concept learning through deep reinforcement learning with memory-augmented neural networks ↗](https://doi.org/10.1016/j.neunet.2018.10.018)**Jing Yuan Shi, Jiaming Xu, Yiqun Yao et al.*24 citations*
130. **[Emergent neural turing machine and its visual navigation ↗](https://doi.org/10.1016/j.neunet.2018.11.004)**Zejia Zheng, Xiang Wu, Juyang Weng*24 citations*
131. **[Exponential consensus of discrete-time non-linear multi-agent systems via relative state-dependent impulsive protocols ↗](https://doi.org/10.1016/j.neunet.2018.08.013)**Yiyan Han, Chuandong Li, Zhigang Zeng et al.*24 citations*
132. **[The convergence analysis of SpikeProp algorithm with smoothing L1∕2 regularization ↗](https://doi.org/10.1016/j.neunet.2018.03.007)**Junhong Zhao, Jacek M. Żurada, Jie Yang et al.*24 citations*
133. **[Intrinsic motivation and mental replay enable efficient online adaptation in stochastic recurrent networks ↗](https://doi.org/10.1016/j.neunet.2018.10.005)**Daniel Tanneberg, Jan Peters, Elmar Rueckert*23 citations*
134. **[Coupled generative adversarial stacked Auto-encoder: CoGASA ↗](https://doi.org/10.1016/j.neunet.2018.01.002)**Mohammad Ahangar Kiasari, Dennis Singh Moirangthem, Minho Lee*22 citations*
135. **[Fuzzy c-means-based architecture reduction of a probabilistic neural network ↗](https://doi.org/10.1016/j.neunet.2018.07.012)**Maciej Kusy*22 citations*
136. **[Heterogeneity of synaptic input connectivity regulates spike-based neuronal avalanches ↗](https://doi.org/10.1016/j.neunet.2018.10.017)**Shengdun Wu, Yangsong Zhang, Yan Cui et al.*22 citations*
137. **[Nonparallel support vector regression model and its SMO-type solver ↗](https://doi.org/10.1016/j.neunet.2018.06.004)**Long Tang, Yingjie Tian, Chunyan Yang*22 citations*
138. **[An optimal control strategy for hybrid actuator systems: Application to an artificial muscle with electric motor assist ↗](https://doi.org/10.1016/j.neunet.2017.12.010)**Koji Ishihara, Jun Morimoto*21 citations*
139. **[Convex formulation of multiple instance learning from positive and unlabeled bags ↗](https://doi.org/10.1016/j.neunet.2018.05.001)**Han Bao, Tomoya Sakai, Issei Sato et al.*21 citations*
140. **[Effect of inhibitory spike-timing-dependent plasticity on fast sparsely synchronized rhythms in a small-world neuronal network ↗](https://doi.org/10.1016/j.neunet.2018.06.013)**Sang-Yoon Kim, Woochang Lim*21 citations*
141. **[Learning from label proportions on high-dimensional data ↗](https://doi.org/10.1016/j.neunet.2018.03.004)**Yong Shi, Jiabin Liu, Zhiquan Qi et al.*21 citations*
142. **[A distributed semi-supervised learning algorithm based on manifold regularization using wavelet neural network ↗](https://doi.org/10.1016/j.neunet.2018.10.014)**Jin Fa Xie, Sanyang Liu, Hao Dai*20 citations*
143. **[Distributed support vector machine in master–slave mode ↗](https://doi.org/10.1016/j.neunet.2018.02.006)**Qingguo Chen, Feilong Cao*20 citations*
144. **[Memristive nanowires exhibit small-world connectivity ↗](https://doi.org/10.1016/j.neunet.2018.07.002)**Ross D. Pantone, Jack D. Kendall, Juan C. Nino*20 citations*
145. **[Multiple types of synchronization analysis for discontinuous Cohen–Grossberg neural networks with time-varying delays ↗](https://doi.org/10.1016/j.neunet.2017.12.011)**Jiarong Li, Haijun Jiang, Cheng Hu et al.*20 citations*
146. **[Using a model of human visual perception to improve deep learning ↗](https://doi.org/10.1016/j.neunet.2018.04.005)**Michael Stettler, Gregory Francis*20 citations*
147. **[LCD: A Fast Contrastive Divergence Based Algorithm for Restricted Boltzmann Machine ↗](https://doi.org/10.1016/j.neunet.2018.08.018)**Lin Ning, Randall Pittman, Xipeng Shen*19 citations*
148. **[Merging weighted SVMs for parallel incremental learning ↗](https://doi.org/10.1016/j.neunet.2018.01.001)**Lei Zhu, Kazushi Ikeda, Shaoning Pang et al.*19 citations*
149. **[Transfer collaborative filtering from multiple sources via consensus regularization ↗](https://doi.org/10.1016/j.neunet.2018.08.022)**Fuzhen Zhuang, Zheng Jing, Jingwu Chen et al.*19 citations*
150. **[Weighted contrastive divergence ↗](https://doi.org/10.1016/j.neunet.2018.09.013)**Enrique E. Romero, Ferran Mazzanti, Jordi Delgado et al.*19 citations*
151. **[Decentralized adaptive neural control for high-order interconnected stochastic nonlinear time-delay systems with unknown system dynamics ↗](https://doi.org/10.1016/j.neunet.2017.12.013)**Wenjie Si, Xunde Dong, Feifei Yang*18 citations*
152. **[Design of nonlinear optimal control for chaotic synchronization of coupled stochastic neural networks via Hamilton–Jacobi–Bellman equation ↗](https://doi.org/10.1016/j.neunet.2018.01.003)**Ziqian Liu*18 citations*
153. **[Estimating coupling strength between multivariate neural series with multivariate permutation conditional mutual information ↗](https://doi.org/10.1016/j.neunet.2018.11.006)**Wen Dong, Peilei Jia, Sheng-Hsiou Hsu et al.*18 citations*
154. **[Neural electrical activity and neural network growth ↗](https://doi.org/10.1016/j.neunet.2018.02.001)**Fail Mubarakovich Gafarov*18 citations*
155. **[Nonlinear analysis and synthesis of video images using deep dynamic bottleneck neural networks for face recognition ↗](https://doi.org/10.1016/j.neunet.2018.05.016)**Saeed Montazeri, Seyyed Ali Seyyedsalehi*18 citations*
156. **[The impact of encoding–decoding schemes and weight normalization in spiking neural networks ↗](https://doi.org/10.1016/j.neunet.2018.08.024)**Zhengzhong Liang, David Schwartz, Gregory Ditzler et al.*18 citations*
157. **[Trainable spectral difference learning with spatial starting for hyperspectral image denoising ↗](https://doi.org/10.1016/j.neunet.2018.08.021)**Weiying Xie, Yunsong Li, Jing Hu et al.*18 citations*
158. **[Possible world based consistency learning model for clustering and classifying uncertain data ↗](https://doi.org/10.1016/j.neunet.2018.02.012)**Han Liu, Xianchao Zhang, Xianchao Zhang et al.*17 citations*
159. **[Discovering space — Grounding spatial topology and metric regularity in a naive agent’s sensorimotor experience ↗](https://doi.org/10.1016/j.neunet.2018.06.001)**Alban Laflaquière, John Kevin O'Regan, Bruno Gas et al.*16 citations*
160. **[Estimation of neuronal dynamics based on sparse modeling ↗](https://doi.org/10.1016/j.neunet.2018.10.006)**Shinya Otsuka, Toshiaki Omori*16 citations*
161. **[Social babbling: The emergence of symbolic gestures and words ↗](https://doi.org/10.1016/j.neunet.2018.06.016)**Laura Cohen, Aude Billard*16 citations*
162. **[A new approach to detect the coding rule of the cortical spiking model in the information transmission ↗](https://doi.org/10.1016/j.neunet.2017.12.009)**Soheila Nazari, Karim Faez A, Mahyar Janahmadi*15 citations*
163. **[Adaptive non-negative projective semi-supervised learning for inductive classification ↗](https://doi.org/10.1016/j.neunet.2018.07.017)**Zhao Zhang, Lei Jia, Mingbo Zhao et al.*15 citations*
164. **[Quantum weighted long short-term memory neural network and its application in state degradation trend prediction of rotating machinery ↗](https://doi.org/10.1016/j.neunet.2018.07.004)**Feng Li, Xiang Wang, Jiaxu Wang et al.*15 citations*
165. **[The Growing Curvilinear Component Analysis (GCCA) neural network ↗](https://doi.org/10.1016/j.neunet.2018.03.017)**Giansalvo Cirrincione, Vincenzo Randazzo, Eros Gian Alessandro Pasero*15 citations*
166. **[Max-plus and min-plus projection autoassociative morphological memories and their compositions for pattern classification ↗](https://doi.org/10.1016/j.neunet.2018.01.013)**Alex Santana dos Santos, Marcos Eduardo Valle*14 citations*
167. **[Multineuron spike train analysis with R-convolution linear combination kernel ↗](https://doi.org/10.1016/j.neunet.2018.02.013)**Taro Tezuka*14 citations*
168. **[A density-based competitive data stream clustering network with self-adaptive distance metric ↗](https://doi.org/10.1016/j.neunet.2018.11.008)**Baile Xu, Furao Shen, Jinxi Zhao*13 citations*
169. **[Training sparse least squares support vector machines by the QR decomposition ↗](https://doi.org/10.1016/j.neunet.2018.07.008)**Xiao-Lei Xia*13 citations*
170. **[UKF-based remote state estimation for discrete artificial neural networks with communication bandwidth constraints ↗](https://doi.org/10.1016/j.neunet.2018.08.015)**Yang Liu, Zidong Wang, Donghua Zhou*13 citations*
171. **[Estimation theory and Neural Networks revisited: REKF and RSVSF as optimization techniques for Deep-Learning ↗](https://doi.org/10.1016/j.neunet.2018.09.012)**Mahmoud Ismail, Mina Attari, Saeid R. Habibi et al.*12 citations*
172. **[Evaluating performance of neural codes in model neural communication networks ↗](https://doi.org/10.1016/j.neunet.2018.10.008)**Chris G. Antonopoulos, Ezequiel Bianco-Martínez, Murilo S. Baptista*12 citations*
173. **[Evaluation of the computational capabilities of a memristive random network (MN3) under the context of reservoir computing ↗](https://doi.org/10.1016/j.neunet.2018.07.003)**Laura E. Suarez, Jack D. Kendall, Juan C. Nino*12 citations*
174. **[A compact network learning model for distribution regression ↗](https://doi.org/10.1016/j.neunet.2018.12.007)**Connie Khor Li Kou, Hwee Kuan Lee, Teck Khim Ng*11 citations*
175. **[An improved stability result for delayed Takagi–Sugeno fuzzy Cohen–Grossberg neural networks ↗](https://doi.org/10.1016/j.neunet.2018.09.008)**Zeynep Orman*11 citations*
176. **[Decoding natural images from evoked brain activities using encoding models with invertible mapping ↗](https://doi.org/10.1016/j.neunet.2018.05.010)**Chao Li, Junhai Xu, Baolin Liu*11 citations*
177. **[Modulations of dendritic Ca2+ spike with weak electric fields in layer 5 pyramidal cells ↗](https://doi.org/10.1016/j.neunet.2018.10.013)**Guosheng Yi, Xile Wei, Jiang Wang et al.*11 citations*
178. **[A multivariate additive noise model for complete causal discovery ↗](https://doi.org/10.1016/j.neunet.2018.03.013)**Pramod Kumar Parida, Tshilidzi Marwala, Snehashish Chakraverty*9 citations*
179. **[Efficient coding matters in the organization of the early visual system ↗](https://doi.org/10.1016/j.neunet.2018.04.019)**Qingqun Kong, Jiuqi Han, Yi Zeng et al.*9 citations*
180. **[Incremental sparse Bayesian ordinal regression ↗](https://doi.org/10.1016/j.neunet.2018.07.015)**Chang Li, Maarten de Rijke*9 citations*
181. **[Neural circuits for learning context-dependent associations of stimuli ↗](https://doi.org/10.1016/j.neunet.2018.07.018)**Henghui Zhu, Ioannis Ch. Paschalidis, Michael Erik Hasselmo*9 citations*
182. **[Novel deep generative simultaneous recurrent model for efficient representation learning ↗](https://doi.org/10.1016/j.neunet.2018.04.020)**Mahbubul Alam, Lasitha Vidyaratne, Khan M. Iftekharuddin*9 citations*
183. **[Saliency model based on a neural population for integrating figure direction and organizing Border Ownership ↗](https://doi.org/10.1016/j.neunet.2018.10.015)**Nobuhiko Wagatsuma*9 citations*
184. **[A biologically-based computational model of visual cortex that overcomes the X-junction illusion ↗](https://doi.org/10.1016/j.neunet.2018.02.008)**Parvin Zarei Eskikand, Tatiana Kameneva, Michael R. Ibbotson et al.*8 citations*
185. **[Characterization of electroencephalography signals for estimating saliency features in videos ↗](https://doi.org/10.1016/j.neunet.2018.04.013)**Zhen Liang, Yasuyuki Hamada, Shigeyuki Oba et al.*8 citations*
186. **[Implicit incremental natural actor critic algorithm ↗](https://doi.org/10.1016/j.neunet.2018.10.007)**Ryo Iwaki, Minoru Asada*8 citations*
187. **[Learning in the machine: Recirculation is random backpropagation ↗](https://doi.org/10.1016/j.neunet.2018.09.006)**Pierre Baldi, Peter Sadowski*8 citations*
188. **[A hypothetical neural network model for generation of human precision grip ↗](https://doi.org/10.1016/j.neunet.2018.12.001)**Yuki Moritani, Naomichi Ogihara*7 citations*
189. **[A self-organizing short-term dynamical memory network ↗](https://doi.org/10.1016/j.neunet.2018.06.008)**Callie Federer, Joel Zylberberg*7 citations*
190. **[A frequency-domain approach to improve ANNs generalization quality via proper initialization ↗](https://doi.org/10.1016/j.neunet.2018.04.004)**Majdi Chaari, Afef Fekih, Abdennour C. Seibi et al.*6 citations*
191. **[Information-theoretic decomposition of embodied and situated systems ↗](https://doi.org/10.1016/j.neunet.2018.03.011)**Federico Da Rold*6 citations*
192. **[Learning to activate logic rules for textual reasoning ↗](https://doi.org/10.1016/j.neunet.2018.06.012)**Yiqun Yao, Jiaming Xu, Jing Yuan Shi et al.*6 citations*
193. **[Spatial context-aware user mention behavior modeling for mentionee recommendation ↗](https://doi.org/10.1016/j.neunet.2018.07.007)**Kai Wang, Weiyi Meng, Jiang Bian et al.*6 citations*
194. **[The importance of recurrent top-down synaptic connections for the anticipation of dynamic emotions ↗](https://doi.org/10.1016/j.neunet.2018.09.007)**Martial Mermillod, Yannick Bourrier, Erwan Joël David et al.*6 citations*
195. **[Introduction to the special issue on deep reinforcement learning:An editorial ↗](https://doi.org/10.1016/j.neunet.2018.08.001)**Ron Sun, David Silver, Gerald J. Tesauro et al.*5 citations*
196. **[Monostable multivibrators as novel artificial neurons ↗](https://doi.org/10.1016/j.neunet.2018.08.014)**Lars Keuninckx, Jan Danckaert, Guy Van der Sande*5 citations*
197. **[Robust Latent Regression with discriminative regularization by leveraging auxiliary knowledge ↗](https://doi.org/10.1016/j.neunet.2018.02.004)**Jianwen Tao, Di Zhou, Bin Zhu*5 citations*
198. **[A model of operant learning based on chaotically varying synaptic strength ↗](https://doi.org/10.1016/j.neunet.2018.08.006)**Tianqi Wei, Barbara H. Webb*4 citations*
199. **[A video-driven model of response statistics in the primate middle temporal area ↗](https://doi.org/10.1016/j.neunet.2018.09.004)**Omid Rezai, Pinar Boyraz Jentsch, Bryan Tripp*4 citations*
200. **[EEG dipole source localization with information criteria for multiple particle filters ↗](https://doi.org/10.1016/j.neunet.2018.08.008)**Sho Sonoda, Keita Nakamura, Yuki Kaneda et al.*4 citations*

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