Dynamic mode decomposition of resting-state fMRI revealing abnormal brain region features in schizophrenia [0.03%]
基于静息态功能磁共振图像的动态模式分解在精神分裂症中的异常脑区特征研究
Yaning Wang,Yihong Wang,Xuying Xu et al.
Yaning Wang et al.
Extracting features from abnormal brain regions in schizophrenia patients' brain images holds significant importance for aiding diagnosis. However, existing methods remained limited in simultaneously capturing spatiotemporal information. Dy...
Computational modeling of resistance to hormone-mediated remission in childhood absence epilepsy [0.03%]
儿童失神癫痫对激素介导缓解的抗性计算模型
Maliha Ahmed,Sue Ann Campbell
Maliha Ahmed
Childhood absence epilepsy (CAE) often resolves during adolescence, a period marked by hormonal and neurosteroid changes associated with puberty. However, remission does not occur in all individuals. To investigate this clinical heterogenei...
The impact of dynamic reversal potential on the evolution of action potential attributes during spike trains [0.03%]
动态反转电位对 Spike 串中动作电位属性演变的影响
Ahmed A Aldohbeyb,Jozsef Vigh,Kevin L Lear
Ahmed A Aldohbeyb
Action potentials (AP) are the basic elements of information processing in the nervous system. Understanding AP generation mechanisms is a critical step to understand how neurons encode information. However, an individual neuron might fire ...
Bridging neuromorphic computing and deep learning for next-generation neural data interpretation [0.03%]
面向下一代神经数据解析的类脑计算与深度学习融合技术
Manyun Zhang,Tianlei Wang,Zhiyuan Zhu
Manyun Zhang
Transferable CNN-based data mining approaches for medical imaging: application to spine DXA scans for osteoporosis detection [0.03%]
基于CNN的医学影像数据挖掘方法在脊柱骨密度图像中的应用研究
Awad Bin Naeem,Onur Osman,Shtwai Alsubai et al.
Awad Bin Naeem et al.
Introduction: Osteoporosis is the leading cause of sudden bone fractures. This is a silent and deadly disease that can affect any part of the body, such as the spine, hips, and knee bones. ...
Takemori Orima,Ichiro Tsuda,Minoru Tsukada et al.
Takemori Orima et al.
The spatiotemporal learning rule (STLR) can reproduce synaptic plasticity in the hippocampus. Analysis of the synaptic weights in the network with the STLR is challenging. Consequently, our previous research only focused on the network's ou...
Jing Yan,Yunxuan Feng,Wei P Dai et al.
Jing Yan et al.
Robustness, defined as a system's ability to maintain functional reliability in the face of perturbations, is achieved through its capacity to filter external disturbances using internal priors encoded in its structure and states. While bio...
Neurocognition, cerebellar functions and psychiatric features in spinocerebellar ataxia type 34: a case series [0.03%]
脊髓小脑性共济失调Ⅲ型患者的神经认知、小脑功能和精神特征：一系列病例的报告
Maurizio Cundari,Lena Kirchhoff,Susanna Vestberg et al.
Maurizio Cundari et al.
Objective: This study primarily aimed to comprehensively characterize the neurological, neuroradiological and neurocognitive profiles, as well psychiatric features of individuals with Spinocerebellar Ataxia Type 34 (SCA34...
GAME-Net: an ensemble deep learning framework integrating Generative Autoencoders and attention mechanisms for automated brain tumor segmentation in MRI [0.03%]
GAME-Net：一种集成生成自编码器和注意机制的深度学习框架用于MRI中的脑肿瘤自动化分割
Ihtisham Ul Haq,Abid Iqbal,Muhammad Anas et al.
Ihtisham Ul Haq et al.
Introduction: Accurate and early identification of brain tumors is essential for improving therapeutic planning and clinical outcomes. Manual segmentation of Magnetic Resonance Imaging (MRI) remains time-consuming and sub...
Simplex polynomial in complex networks and its applications to compute the Euler characteristic [0.03%]
复网络中的单纯多项式及其在计算欧拉示性数中的应用
Zhaoyang Wang,Xianghui Fu,Bo Deng et al.
Zhaoyang Wang et al.
In algebraic topology, a k-dimensional simplex is defined as a convex polytope consisting of k + 1 vertices. If spatial dimensionality is not considered, it corresponds to the complete graph with k + 1 vertices in graph theory. The alternat...