Editorial: Computational intelligence for signal and image processing, volume II [0.03%]
编辑：信号与图像处理的计算智能，第二卷
Deepika Koundal,Jussi Tohka
Deepika Koundal
Estimation of ionic currents and compensation mechanisms from recursive piecewise assimilation of electrophysiological data [0.03%]
电生理数据的递归分段同化估计离子电流和补偿机制
Stephen A Wells,Paul G Morris,Joseph D Taylor et al.
Stephen A Wells et al.
The identification of ion channels expressed in neuronal function and neuronal dynamics is critical to understanding neurological disease. This program calls for advanced parameter estimation methods that infer ion channel properties from t...
Editorial: Brain-inspired intelligence: the deep integration of brain science and artificial intelligence [0.03%]
综述：类脑智能：脑科学与类脑智能的深度融合
Ye Yuan,Xi Chen,Jian Liu
Ye Yuan
A new method for identifying and evaluating depressive disorders in young people based on cognitive neurocomputing: an exploratory study [0.03%]
基于认知神经计算识别和评估年轻人抑郁障碍的新方法：一项探索性研究
Jiakang Liu,Kai Li,Shuwu Li et al.
Jiakang Liu et al.
Background: Depressive disorders are one of the most common mental disorders among young people. However, there is still a lack of objective means to identify and evaluate young people with depressive disorders quickly. C...
Time-domain brain: temporal mechanisms for brain functions using time-delay nets, holographic processes, radio communications, and emergent oscillatory sequences [0.03%]
时间域大脑：使用时间延迟网络，全息处理，无线电通信和产生的振荡序列进行大脑功能的临时机制
Janet M Baker,Peter Cariani
Janet M Baker
Time is essential for understanding the brain. A temporal theory for realizing major brain functions (e.g., sensation, cognition, motivation, attention, memory, learning, and motor action) is proposed that uses temporal codes, time-domain n...
Artificial intelligence in stroke risk assessment and management via retinal imaging [0.03%]
通过视网膜影像评估和管理中风风险的人工智能技术
Parsa Khalafi,Soroush Morsali,Sana Hamidi et al.
Parsa Khalafi et al.
Retinal imaging, used for assessing stroke-related retinal changes, is a non-invasive and cost-effective method that can be enhanced by machine learning and deep learning algorithms, showing promise in early disease detection, severity grad...
Editorial: Computer vision and image synthesis for neurological applications [0.03%]
论文：用于神经学应用的计算机视觉和图像合成
Chenglong Zou,Shounak Roychowdhury,Saim Rasheed et al.
Chenglong Zou et al.
EEG electrode setup optimization using feature extraction techniques for neonatal sleep state classification [0.03%]
用于新生儿睡眠状态分类的特征提取技术下的EEG电极优化设置
Hafza Ayesha Siddiqa,Muhammad Farrukh Qureshi,Arsalan Khurshid et al.
Hafza Ayesha Siddiqa et al.
An optimal arrangement of electrodes during data collection is essential for gaining a deeper understanding of neonatal sleep and assessing cognitive health in order to reduce technical complexity and reduce skin irritation risks. Using ele...
MUNet: a novel framework for accurate brain tumor segmentation combining UNet and mamba networks [0.03%]
结合U形网络和眼镜蛇网络的脑部肿瘤分割方法
Lijuan Yang,Qiumei Dong,Da Lin et al.
Lijuan Yang et al.
Brain tumors are one of the major health threats to humans, and their complex pathological features and anatomical structures make accurate segmentation and detection crucial. However, existing models based on Transformers and Convolutional...
Motion feature extraction using magnocellular-inspired spiking neural networks for drone detection [0.03%]
受大细胞视网膜神经元启发的脉冲神经网络在无人机运动目标检测中的应用研究
Jiayi Zheng,Yaping Wan,Xin Yang et al.
Jiayi Zheng et al.
Traditional object detection methods usually underperform when locating tiny or small drones against complex backgrounds, since the appearance features of the targets and the backgrounds are highly similar. To address this, inspired by the ...