Ausgabe 5/2023
Inhalt (25 Artikel)
Guest Editorial: Trends in Reservoir Computing
Simone Scardapane, Claudio Gallicchio, Alessio Micheli, Miguel C. Soriano
A Reservoir Computing Approach to Word Sense Disambiguation
Kiril Simov, Petia Koprinkova-Hristova, Alexander Popov, Petya Osenova
Limitations of the Recall Capabilities in Delay-Based Reservoir Computing Systems
Felix Köster, Dominik Ehlert, Kathy Lüdge
Echo State Networks and Long Short-Term Memory for Continuous Gesture Recognition: a Comparative Study
Doreen Jirak, Stephan Tietz, Hassan Ali, Stefan Wermter
Information Processing Capacity of Spin-Based Quantum Reservoir Computing Systems
R. Martínez-Peña, J. Nokkala, G. L. Giorgi, R. Zambrini, M. C. Soriano
Bayesian Optimisation of Large-scale Photonic Reservoir Computers
Piotr Antonik, Nicolas Marsal, Daniel Brunner, Damien Rontani
Hardware-Optimized Reservoir Computing System for Edge Intelligence Applications
Alejandro Morán, Vincent Canals, Fabio Galan-Prado, Christian F. Frasser, Dhinakar Radhakrishnan, Saeid Safavi, Josep L. Rosselló
Latent Space Exploration and Functionalization of a Gated Working Memory Model Using Conceptors
Anthony Strock, Nicolas P. Rougier, Xavier Hinaut
Improving Whale Optimization Algorithm with Elite Strategy and Its Application to Engineering-Design and Cloud Task Scheduling Problems
Sanjoy Chakraborty, Apu Kumar Saha, Amit Chhabra
Two-way Concept-Cognitive Learning with Multi-source Fuzzy Context
Xiaoyan Zhang, Doudou Guo, Weihua Xu
NILRNN: A Neocortex-Inspired Locally Recurrent Neural Network for Unsupervised Feature Learning in Sequential Data
Franz A. Van-Horenbeke, Angelika Peer
BrainNet with Connectivity Attention for Individualized Predictions Based on Multi-Facet Connections Extracted from Resting-State fMRI Data
Hao Ma, Fan Wu, Yun Guan, Le Xu, Jiangcong Liu, Lixia Tian
Tensorized Anchor Graph Learning for Large-scale Multi-view Clustering
Jian Dai, Zhenwen Ren, Yunzhi Luo, Hong Song, Jian Yang
Enhanced Quantum-Secure Ensemble Intrusion Detection Techniques for Cloud Based on Deep Learning
Dilli Babu Salvakkam, Vijayalakshmi Saravanan, Praphula Kumar Jain, Rajendra Pamula
Cognitive Phenomenology Neuroscience and Computation
Neyla Sfeir, Igor Aleksander
A Hebbian Model to Account for Musical Expertise Differences in a Working Memory Task
Lucas Lörch, Benoît Lemaire, Sophie Portrat
Vehicle Re-Identification by Separating Representative Spatial Features
Wei Zhou, Jiawei Lian, Shunzhi Zhu, Yun Wu, Da-Han Wang
Haptic Recognition of Texture Surfaces Using Semi-Supervised Feature Learning Based on Sparse Representation
Zhiyu Shao, Jiatong Bao, Jingwei Li, Hongru Tang
Deep Heuristic Evolutionary Regression Model Based on the Fusion of BiGRU and BiLSTM
Lixiang Xu, Wei Xu, Qingzhe Cui, Mengying Li, Bin Luo, Yuanyan Tang
Improving Coronary Heart Disease Prediction Through Machine Learning and an Innovative Data Augmentation Technique
Abdulrakeeb M. Al-Ssulami, Randh S. Alsorori, Aqil M. Azmi, Hatim Aboalsamh
An Interpretable Neuro-symbolic Model for Raven’s Progressive Matrices Reasoning
Shukuo Zhao, Hongzhi You, Ru-Yuan Zhang, Bailu Si, Zonglei Zhen, Xiaohong Wan, Da-Hui Wang
Deep Learning Based Traffic Prediction Method for Digital Twin Network
Junyu Lai, Zhiyong Chen, Junhong Zhu, Wanyi Ma, Lianqiang Gan, Siyu Xie, Gun Li