Wednesday, 19 April 2017

IEEE TNNLS April 2017 Now Available

The following articles appeared in the latest issue of IEEE Transactions on Neural Networks and Learning Systems: Volume 28, Issue 4, April 2017.

This issue published a Special Issue on "Learning in Neuromorphic Systems and Cyborg Intelligence", with papers on spiking neural networks, neuromorphics, feature extraction, reinforcement learning, restricted Boltzmann machine, multi-instance learning, Hopfield neural networks, among others. We welcome your submissions to IEEE TNNLS.

These articles can be retrieved on IEEE Xplore:
or directly by clicking the individual paper URL below.

IEEE Transactions on Neural Networks and Learning Systems;
Volume 28, Issue 4, April 2017.

1. Guest Editorial: Special Issue on Learning in Neuromorphic Systems and Cyborg Intelligence
Author(s): Zhaohui Wu; Ryad Benosman; Huajin Tang; Shih-Chii Liu
Page(s): 774 - 777

2. Triplet Spike Time-Dependent Plasticity in a Floating-Gate Synapse
Author(s): Roshan Gopalakrishnan; Arindam Basu
Page(s): 778 - 790

3. Bag of Events: An Efficient Probability-Based Feature Extraction Method for AER Image Sensors
Author(s): Xi Peng; Bo Zhao; Rui Yan; Huajin Tang; Zhang Yi
Page(s): 791 - 803

4. A Binaural Neuromorphic Auditory Sensor for FPGA: A Spike Signal Processing Approach
Author(s): Angel Jiménez-Fernández; Elena Cerezuela-Escudero; Lourdes Miró-Amarante; Manuel Jesus Domínguez-Morales; Francisco de Asís Gómez-Rodríguez; Alejandro Linares-Barranco; Gabriel Jiménez-Moreno
Page(s): 804 - 818

5. Neuromorphic Artificial Touch for Categorization of Naturalistic Textures
Author(s): Udaya Bhaskar Rongala; Alberto Mazzoni; Calogero Maria Oddo
Page(s): 819 - 829

6. Learning to Perceive the World as Probabilistic or Deterministic via Interaction With Others: A Neuro-Robotics Experiment
Author(s): Shingo Murata; Yuichi Yamashita; Hiroaki Arie; Tetsuya Ogata; Shigeki Sugano; Jun Tani
Page(s): 830 - 848

7. CONE: Convex-Optimized-Synaptic Efficacies for Temporally Precise Spike Mapping
Author(s): Wang Wei Lee; Sunil L. Kukreja; Nitish V. Thakor
Page(s): 849 - 861

8. A Novel Algorithm for Learning Sparse Spatio-Spectral Patterns for Event-Related Potentials
Author(s): Chaohua Wu; Ke Lin; Wei Wu; Xiaorong Gao
Page(s): 862 - 872

9. Quantized Attention-Gated Kernel Reinforcement Learning for Brain–Machine Interface Decoding
Author(s): Fang Wang; Yiwen Wang; Kai Xu; Hongbao Li; Yuxi Liao; Qiaosheng Zhang; Shaomin Zhang; Xiaoxiang Zheng; José C. Principe
Page(s): 873 - 886

10. Mapping, Learning, Visualization, Classification, and Understanding of fMRI Data in the NeuCube Evolving Spatiotemporal Data Machine of Spiking Neural Networks
Author(s): Nikola K. Kasabov; Maryam Gholami Doborjeh; Zohreh Gholami Doborjeh
Page(s): 887 - 899

11. An Online Unsupervised Structural Plasticity Algorithm for Spiking Neural Networks
Author(s): Subhrajit Roy; Arindam Basu
Page(s): 900 - 910

12. Parameter as a Switch Between Dynamical States of a Network in Population Decoding
Author(s): Jiali Yu; Hua Mao; Zhang Yi
Page(s): 911 - 916

13. A Maximum Entropy Framework for Semisupervised and Active Learning With Unknown and Label-Scarce Classes
Author(s): Zhicong Qiu; David J. Miller; George Kesidis
Page(s): 917 - 933

14. Manifold-Based Reinforcement Learning via Locally Linear Reconstruction
Author(s): Xin Xu; Zhenhua Huang; Lei Zuo; Haibo He
Page(s): 934 - 947

15. Adaptive Method for Nonsmooth Nonnegative Matrix Factorization
Author(s): Zuyuan Yang; Yong Xiang; Kan Xie; Yue Lai
Page(s): 948 - 960

16. An Adaptable Continuous Restricted Boltzmann Machine in VLSI for Fusing the Sensory Data of an Electronic Nose
Author(s): en-Huo Wang; Chen-Ting Tang; Hsin Chen
Page(s): 961 - 974

17. Scalable Algorithms for Multi-Instance Learning
Author(s): Xiu-Shen Wei; Jianxin Wu; Zhi-Hua Zhou
Page(s): 975 - 987

18. An Integrated Learning and Filtering Approach for Fault Diagnosis of a Class of Nonlinear Dynamical Systems
Author(s): Christodoulos Keliris; Marios M. Polycarpou; Thomas Parisini
Page(s): 988 - 1004

19. An Optimization-Based Method for Feature Ranking in Nonlinear Regression Problems
Author(s): Luca Bravi; Veronica Piccialli; Marco Sciandrone
Page(s): 1005 - 1010

20. Symmetric Complex-Valued Hopfield Neural Networks
Author(s): Masaki Kobayashi
Page(s): 1011 - 1015

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