Corrigendum: 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图像中脑肿瘤的模式检测与分割方法的更正公告
Lubna Kiran,Asim Zeb,Qazi Nida Ur Rehman et al.
Lubna Kiran et al.
[This corrects the article DOI: 10.3389/fncom.2024.1418280.]. Keywords: binary convolution neural network; b...
Neuromorphic energy economics: toward biologically inspired and sustainable power market design [0.03%]
仿生神经形态经济学——走向生物启发型和可持续的电力市场设计
Aoshuang Ye,Dong Xu,Yichao Li et al.
Aoshuang Ye et al.
iSeizdiag: toward the framework development of epileptic seizure detection for healthcare [0.03%]
基于医疗保健的癫痫发作检测框架发展-iSeizdiag
Ashish Sharma,Akshat Saxena,Mradul Agrawal et al.
Ashish Sharma et al.
Introduction: The seizure episodes result from abnormal and excessive electrical discharges by a group of brain cells. EEG framework-based signal acquisition is the real-time module that records the electrical discharges ...
Regulation of sharp wave-ripples by cholecystokinin-expressing interneurons and parvalbumin-expressing basket cells in the hippocampal CA3 region [0.03%]
胆囊收缩素表达中间神经元和钙调蛋白表达篮状细胞对海马CA3区尖波振荡的调控作用
Yuchen Yang,Xiaojuan Sun
Yuchen Yang
To explore the individual and interactive effects of the interneurons cholecystokinin-expressing interneurons (CCKs) and parvalbumin-expressing basket cells (BCs) on sharp wave-ripples (SWR) and the underlying mechanisms, we constructed a m...
Reinforced liquid state machines-new training strategies for spiking neural networks based on reinforcements [0.03%]
基于增强学习的脉冲神经网络训练新策略
Dominik Krenzer,Martin Bogdan
Dominik Krenzer
Introduction: Feedback and reinforcement signals in the brain act as natures sophisticated teaching tools, guiding neural circuits to self-organization, adaptation, and the encoding of complex patterns. This study investi...
Simplified two-compartment neuron with calcium dynamics capturing brain-state specific apical-amplification, -isolation and -drive [0.03%]
一个简化的包含钙动态的双隔室神经元模型，用于捕获脑状态特异性顶树突放大、隔离和驱动
Elena Pastorelli,Alper Yegenoglu,Nicole Kolodziej et al.
Elena Pastorelli et al.
Mounting experimental evidence suggests the hypothesis that brain-state-specific neural mechanisms, supported by the connectome shaped by evolution, could play a crucial role in integrating past and contextual knowledge with the current, in...
Abdoul Jalil Djiberou Mahamadou,Emma A Rodrigues,Vasily Vakorin et al.
Abdoul Jalil Djiberou Mahamadou et al.
Introduction: Machine performance has surpassed human capabilities in various tasks, yet the opacity of complex models limits their adoption in critical fields such as healthcare. Explainable AI (XAI) has emerged to addre...
Machine learning identifies genes linked to neurological disorders induced by equine encephalitis viruses, traumatic brain injuries, and organophosphorus nerve agents [0.03%]
机器学习识别与马脑炎病毒、脑外伤和有机磷神经剂相关的基因
Liduo Yin,Morgen VanderGiessen,Vinoth Kumar et al.
Liduo Yin et al.
Venezuelan, eastern, and western equine encephalitis viruses (collectively referred to as equine encephalitis viruses---EEV) cause serious neurological diseases and pose a significant threat to the civilian population and the warfighter. Li...
Jayani Hewavitharana,Kathleen Steinhofel,Karl Peter Giese et al.
Jayani Hewavitharana et al.
Learning and memory are fundamental processes of the brain which are essential for acquiring and storing information. However, with ageing the brain undergoes significant changes leading to age-related cognitive decline. Although there are ...
Intelligent rehabilitation in an aging population: empowering human-machine interaction for hand function rehabilitation through 3D deep learning and point cloud [0.03%]
智能老龄化：通过三维深度学习和点云赋能手功能康复的人机交互
Zhizhong Xing,Zhijun Meng,Gengfeng Zheng et al.
Zhizhong Xing et al.
Human-machine interaction and computational neuroscience have brought unprecedented application prospects to the field of medical rehabilitation, especially for the elderly population, where the decline and recovery of hand function have be...