Synaptic plasticity facilitates oscillations in a V1 cortical column model with multiple interneuron types [0.03%]
一种具有多种抑制性神经元类型的V1皮层柱模型中突触可塑性促进振荡现象的研究
Giulia Moreni,Licheng Zou,Cyriel M A Pennartz et al.
Giulia Moreni et al.
Neural rhythms are ubiquitous in cortical recordings, but it is unclear whether they emerge due to the basic structure of cortical microcircuits or depend on function. Using detailed electrophysiological and anatomical data of mouse V1, we ...
Joël Küchler,Katarina Vulić,Haotian Yao et al.
Joël Küchler et al.
We present an in vitro neuronal network with controlled topology capable of performing basic Boolean computations, such as NAND and OR. Neurons cultured within polydimethylsiloxane (PDMS) microstructures on high-density microelectrode array...
Decentralized EEG-based detection of major depressive disorder via transformer architectures and split learning [0.03%]
基于分拆学习和变压器架构的去中心化脑电图主要抑郁障碍检测方法研究
Muhammad Umair,Jawad Ahmad,Nada Alasbali et al.
Muhammad Umair et al.
Introduction: Major Depressive Disorder (MDD) remains a critical mental health concern, necessitating accurate detection. Traditional approaches to diagnosing MDD often rely on manual Electroencephalography (EEG) analysis...
TourismNeuro xLSTM: neuro-inspired xLSTM for rural tourism planning and innovation [0.03%]
基于神经科学的xLSTM在乡村旅游规划和创新中的应用
Jing Jiang,You Li
Jing Jiang
Introduction: Tourism planning, particularly in rural areas, presents complex challenges due to the highly dynamic and interdependent nature of tourism demand, influenced by seasonal, geographical, and economic factors. T...
Arij Daou,Hyunsu Lee
Arij Daou
Further N-Frame networking dynamics of conscious observer-self agents via a functional contextual interface: predictive coding, double-slit quantum mechanical experiment, and decision-making fallacy modeling as applied to the measurement problem in humans and AI [0.03%]
通过功能上下文接口进一步探讨有意识观察者自我的N框架网络动力学：预测编码，双缝量子力学实验以及决策谬误模型在人类和AI测量问题中的应用
Darren J Edwards
Darren J Edwards
Artificial intelligence (AI) has made some remarkable advances in recent years, particularly within the area of large language models (LLMs) that produce human-like conversational abilities via utilizing transformer-based architecture. Thes...
Prefrontal meta-control incorporating mental simulation enhances the adaptivity of reinforcement learning agents in dynamic environments [0.03%]
前额叶元控制通过心理模拟增强了智能体在动态环境中的强化学习适应性
JiHun Kim,Jee Hang Lee
JiHun Kim
Introduction: Recent advances in computational neuroscience highlight the significance of prefrontal cortical meta-control mechanisms in facilitating flexible and adaptive human behavior. In addition, hippocampal function...
NeuroFusionNet: cross-modal modeling from brain activity to visual understanding [0.03%]
神经网络融合技术：从脑活动到视觉理解的跨模式建模技术
Kehan Lang,Jianwei Fang,Guangyao Su
Kehan Lang
In recent years, the integration of machine vision and neuroscience has provided a new perspective for deeply understanding visual information. This paper proposes an innovative deep learning model, NeuroFusionNet, designed to enhance the u...
Exploring the neural basis of creativity: EEG analysis of power spectrum and functional connectivity during creative tasks in school-aged children [0.03%]
探索创造力的神经基础：在学校儿童进行创造性任务时对大脑功率谱和功能连接性的EEG分析
Gabriela Krumm,Vanessa Arán Filippetti,Magaly Catanzariti et al.
Gabriela Krumm et al.
Creativity is a fundamental aspect of human cognition, particularly during childhood. Exploring creativity through electroencephalography (EEG) provides valuable insights into the brain mechanisms underlying this vital cognitive process. Th...
AD-Diff: enhancing Alzheimer's disease prediction accuracy through multimodal fusion [0.03%]
AD-差：通过多模式融合提高阿尔茨海默病预测精度
Lei Han
Lei Han
Early prediction of Alzheimer's disease (AD) is crucial to improving patient quality of life and treatment outcomes. However, current predictive methods face challenges such as insufficient multimodal information integration and the high co...