Principled neuromorphic reservoir computing by Denis Kleyko, Christopher J. Kymn, Anthony Thomas, Bruno A. Olshausen, Friedrich T. Sommer, E. Paxon Frady

“…Abstract Reservoir computing advances the intriguing idea that a nonlinear recurrent neural circuit—the reservoir—can encode spatio-temporal input signals to enable efficient ways to perform tasks like classification or regression. …”
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Control of Linear-Threshold Brain Networks via Reservoir Computing by Michael McCreesh, Jorge Cortes

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Post-processing methods for delay embedding and feature scaling of reservoir computers by Jonnel Jaurigue, Joshua Robertson, Antonio Hurtado, Lina Jaurigue, Kathy Lüdge

“…Abstract Reservoir computing is a machine learning method that is well-suited for complex time series prediction tasks. …”
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Multifunctional Photonic Reservoir Computing Based on Semiconductor Laser With Optical Feedback by Liyue Zhang, Weijie Hong, Songsui Li, Wei Pan, Lianshan Yan, Bin Luo, Xihua Zou

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Similarity Learning and Generalization with Limited Data: A Reservoir Computing Approach by Sanjukta Krishnagopal, Yiannis Aloimonos, Michelle Girvan

“…We present two Reservoir Computing architectures, which loosely resemble neural dynamics, and show that a Reservoir Computer (RC) trained to identify relationships between image pairs drawn from a subset of training classes generalizes the learned relationships to substantially different classes unseen during training. …”
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Ultrafast silicon photonic reservoir computing engine delivering over 200 TOPS by Dongliang Wang, Yikun Nie, Gaolei Hu, Hon Ki Tsang, Chaoran Huang

“…Abstract Reservoir computing (RC) is a powerful machine learning algorithm for information processing. …”
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Edge-of-Chaos and Chaotic Dynamics in Resistor-Inductor-Diode-Based Reservoir Computing by A. H. Abbas, Hend Abdel-Ghani, Ivan S. Maksymov

Subjects: “…Reservoir computing…”
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Efficient optimisation of physical reservoir computers using only a delayed input by Enrico Picco, Lina Jaurigue, Kathy Lüdge, Serge Massar

“…Abstract Reservoir computing is a machine learning algorithm for processing time dependent data which is well suited for experimental implementation. …”
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Normalized difference vegetation index prediction using reservoir computing and pretrained language models by John Olamofe, Ram Ray, Xishuang Dong, Lijun Qian

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Iono–Magnonic Reservoir Computing With Chaotic Spin Wave Interference Manipulated by Ion‐Gating by Wataru Namiki, Daiki Nishioka, Yuki Nomura, Takashi Tsuchiya, Kazuo Yamamoto, Kazuya Terabe

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Coherent all Optical Reservoir Computing for Equalization of Impairments in Coherent Fiber Optic Communication Systems by Shiva Kumar, Mahmoud M. T. Maghrabi, Mohamed H. Bakr, Toshihiko Hirooka, Masataka Nakazawa

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Thermally Stable Ag2Se Nanowire Network as an Effective In‐Materio Physical Reservoir Computing Device by Takumi Kotooka, Sam Lilak, Adam Z. Stieg, James K. Gimzewski, Naoyuki Sugiyama, Yuichiro Tanaka, Takuya Kawabata, Ahmet Karacali, Hakaru Tamukoh, Yuki Usami, Hirofumi Tanaka

Subjects: “…reservoir computing…”
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Physical Reservoir Computing Utilizing Ion‐Gating Transistors Operating in Electric Double Layer and Redox Mechanisms by Takashi Tsuchiya, Daiki Nishioka, Wataru Namiki, Kazuya Terabe

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Cross-Brand Machine Learning of Coffee’s Temporal Liking from Temporal Dominance of Sensations Curves by Hiroharu Natsume, Shogo Okamoto

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End-to-End Stroke Imaging Analysis Using Effective Connectivity and Interpretable Artificial Intelligence by Wojciech Ciezobka, Joan Falco-Roget, Cemal Koba, Alessandro Crimi

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Reduced connection strength leads to enhancement of working memory capacity in cognitive training by Guiyang Lv, Tianyong Xu, Jinhang Li, Ping Zhu, Feiyan Chen, Dongping Yang, Guoguang He

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Emerging Spatiotemporal Dynamics in Multiterminal Neuromorphic Nanowire Networks Through Conductance Matrices and Voltage Maps by Davide Pilati, Fabio Michieletti, Alessandro Cultrera, Carlo Ricciardi, Gianluca Milano

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Gait Perception via Actual and Estimated Pneumatic Physical Reservoir Output by Junyi Shen, Tetsuro Miyazaki, Swaninda Ghosh, Toshihiro Kawase, Kenji Kawashima

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Emergent Self‐Adaptation in an Integrated Photonic Neural Network for Backpropagation‐Free Learning by Alessio Lugnan, Samarth Aggarwal, Frank Brückerhoff‐Plückelmann, C. David Wright, Wolfram H. P. Pernice, Harish Bhaskaran, Peter Bienstman

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Simulating the impact of white matter connectivity on processing time scales using brain network models by Paul Triebkorn, Viktor Jirsa, Peter Ford Dominey

“…In this study we used reservoir computing with human derived connectivity to investigate the effect of the structural connectivity on time scales across brain regions during a narrative task paradigm. …”
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