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Electrophysiology

A multi-view TSK fuzzy system with deformable Gaussian membership functions and rule-level attention for classification

Zhiqi Huang, Yizhang Jiang, Kaijian Xia

Day-night variations in sleep and locomotor activity in lambs during the first 72 hours after birth and following the onset of rumination

Younes Beniaich, Hicham Farsi, [ ... ], Khalid El Allali

Empirical Blaschke Mode decomposition: Algorithm and application

Sainan Li, Jing Wu

Hydrodynamic instabilities in membrane systems with current loading, Fourier analysis

Sławomir Grzegorczyn, Paweł Dolibog, Iwona Dylong, Andrzej Ślęzak

Rotation-tolerant representations elucidate the time-course of high-level object processing

Denise Moerel, Tijl Grootswagers, [ ... ], Thomas A. Carlson

In vivo efficacy of current stimuli computed by optimal tracking of neuron membrane voltage

Alexandra C. Ferguson, Damon A. Miller, [ ... ], Cindy L. Linn

Neural and cardiorespiratory responses in vocalization and slow breathing: Contrasting brain and autonomic responses

Sebastian Ruiz-Blais, Nicolò Francesco Bernardi, [ ... ], Alexandre Lehmann

A hybrid CNN-Transformer network integrating multiscale spatially detailed features for medical image segmentation

Bo Li, Wei Zhou, Haijun Li

MedSpectralNet: A lightweight convolutional neural network architecture for multi-modal image classification

Nabilah Afrin, Masud An-Nur Islam Fahim, [ ... ], Aymen I. Zreikat

Enhanced graph attention network by integrating Long Short-Term Memory for artificial emotion representation in multi-modality datasets

Weiguang Dong, Mingxin Dong, Yucheng Zhao, Shen Pan

A secondary head-to-head comparison of low-intensity focused ultrasound and repetitive transcranial magnetic stimulation for motor recovery after stroke

Shuhong Zheng, Renxiu Bian, [ ... ], Jianhua Li

Neural network architectures and normalization techniques for automated sleep stage classification using rodent EEG and EMG signals

Jinyoung Choi, Hankil Oh, Minkyu Ahn

RMETNet: A cross-subject motor imagery EEG signal classification model based on TSLANet and riemannian geometry features

Yun Zhao, Dongyi He, [ ... ], Bin Jiang

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