Elías Mateo Fernández Santoro,Arun Karim,Pascal Warnaar et al.
Elías Mateo Fernández Santoro et al.
The investigation of the dynamics of Purkinje cell (PC) activity is crucial to unravel the role of the cerebellum in motor control, learning and cognitive processes. Within the cerebellar cortex (CC), these neurons receive all the incoming ...
A three-step, "brute-force" approach toward optimized affine spatial normalization [0.03%]
一种针对优化仿射空间标准化的三步"暴力"方法
Marko Wilke
Marko Wilke
The first step in spatial normalization of magnetic resonance (MR) images commonly is an affine transformation, which may be vulnerable to image imperfections (such as inhomogeneities or "unusual" heads). Additionally, common software solut...
Knowledge graph construction for heart failure using large language models with prompt engineering [0.03%]
基于大语言模型提示工程的心力衰竭知识图谱构建
Tianhan Xu,Yixun Gu,Mantian Xue et al.
Tianhan Xu et al.
Introduction: Constructing an accurate and comprehensive knowledge graph of specific diseases is critical for practical clinical disease diagnosis and treatment, reasoning and decision support, rehabilitation, and health ...
Zhixian Han,Anne B Sereno
Zhixian Han
Many studies have shown that the human visual system has two major functionally distinct cortical visual pathways: a ventral pathway, thought to be important for object recognition, and a dorsal pathway, thought to be important for spatial ...
Conditional spatial biased intuitionistic clustering technique for brain MRI image segmentation [0.03%]
条件空间偏置直觉聚类的脑MRI图像分割技术
Jyoti Arora,Ghadir Altuwaijri,Ali Nauman et al.
Jyoti Arora et al.
In clinical research, it is crucial to segment the magnetic resonance (MR) brain image for studying the internal tissues of the brain. To address this challenge in a sustainable manner, a novel approach has been proposed leveraging the powe...
An enhanced pattern detection and segmentation of brain tumors in MRI images using deep learning technique [0.03%]
基于深度学习技术改进MRI图像中脑肿瘤的检测与分割方法
Lubna Kiran,Asim Zeb,Qazi Nida Ur Rehman et al.
Lubna Kiran et al.
Neuroscience is a swiftly progressing discipline that aims to unravel the intricate workings of the human brain and mind. Brain tumors, ranging from non-cancerous to malignant forms, pose a significant diagnostic challenge due to the presen...
The emergence of enhanced intelligence in a brain-inspired cognitive architecture [0.03%]
灵感启发的认知架构中增强智能的出现
Howard Schneider
Howard Schneider
The Causal Cognitive Architecture is a brain-inspired cognitive architecture developed from the hypothesis that the navigation circuits in the ancestors of mammals duplicated to eventually form the neocortex. Thus, millions of neocortical m...
Hybrid deep spatial and statistical feature fusion for accurate MRI brain tumor classification [0.03%]
融合深度空间和统计特征的混合方法在磁共振脑肿瘤分类中的应用研究
Saeed Iqbal,Adnan N Qureshi,Musaed Alhussein et al.
Saeed Iqbal et al.
The classification of medical images is crucial in the biomedical field, and despite attempts to address the issue, significant challenges persist. To effectively categorize medical images, collecting and integrating statistical information...
Translational symmetry in convolutions with localized kernels causes an implicit bias toward high frequency adversarial examples [0.03%]
局部卷积的平移对称性会隐式偏向高频对抗样本
Josue O Caro,Yilong Ju,Ryan Pyle et al.
Josue O Caro et al.
Adversarial attacks are still a significant challenge for neural networks. Recent efforts have shown that adversarial perturbations typically contain high-frequency features, but the root cause of this phenomenon remains unknown. Inspired b...
A novel multi-feature fusion attention neural network for the recognition of epileptic EEG signals [0.03%]
一种新颖的多特征融合注意神经网络用于癫痫EEG信号识别
Congshan Sun,Cong Xu,Hongwei Li et al.
Congshan Sun et al.
Epilepsy is a common chronic brain disorder. Detecting epilepsy by observing electroencephalography (EEG) is the main method neurologists use, but this method is time-consuming. EEG signals are non-stationary, nonlinear, and often highly no...