Brain-inspired bodily self-perception model for robot rubber hand illusion [0.03%]
受脑启发的机器人橡胶手错觉身体自我感知模型
Yuxuan Zhao,Enmeng Lu,Yi Zeng
Yuxuan Zhao
The core of bodily self-consciousness involves perceiving ownership of one's body. A central question is how body illusions like the rubber hand illusion (RHI) occur. Existing theoretical models still lack satisfying computational explanati...
Zero-shot personalization of speech foundation models for depressed mood monitoring [0.03%]
用于抑郁情绪监测的语音基础模型的零样本个性化方法
Maurice Gerczuk,Andreas Triantafyllopoulos,Shahin Amiriparian et al.
Maurice Gerczuk et al.
The monitoring of depressed mood plays an important role as a diagnostic tool in psychotherapy. An automated analysis of speech can provide a non-invasive measurement of a patient's affective state. While speech has been shown to be a usefu...
Explainability and human intervention in autonomous scanning probe microscopy [0.03%]
自主扫描探针显微镜中的可解释性和人工干预
Yongtao Liu,Maxim A Ziatdinov,Rama K Vasudevan et al.
Yongtao Liu et al.
The broad adoption of machine learning (ML)-based autonomous experiments (AEs) in material characterization and synthesis requires strategies development for understanding and intervention in the experimental workflow. Here, we introduce an...
EXSCLAIM!: Harnessing materials science literature for self-labeled microscopy datasets [0.03%]
基于材料科学文献的自标注显微图像数据集研究
Eric Schwenker,Weixin Jiang,Trevor Spreadbury et al.
Eric Schwenker et al.
This work introduces the EXSCLAIM! toolkit for the automatic extraction, separation, and caption-based natural language annotation of images from scientific literature. EXSCLAIM! is used to show how rule-based natural language processing an...
Improving reduced-order models through nonlinear decoding of projection-dependent outputs [0.03%]
基于投影输出的非线性解码改进降阶模型
Kamila Zdybał,Alessandro Parente,James C Sutherland
Kamila Zdybał
A fundamental hindrance to building data-driven reduced-order models (ROMs) is the poor topological quality of a low-dimensional data projection. This includes behavior such as overlapping, twisting, or large curvatures or uneven data densi...
MANGEM: A web app for multimodal analysis of neuronal gene expression, electrophysiology, and morphology [0.03%]
MANGEM：一种用于神经元基因表达、电生理和形态学的多模态分析的网络应用程序
Robert Hermod Olson,Noah Cohen Kalafut,Daifeng Wang
Robert Hermod Olson
Single-cell techniques like Patch-seq have enabled the acquisition of multimodal data from individual neuronal cells, offering systematic insights into neuronal functions. However, these data can be heterogeneous and noisy. To address this,...
Yong Chen,Haoge Xu,Xiqun Michael Chen et al.
Yong Chen et al.
Understanding human mobility patterns is vital for the coordinated development of cities in urban agglomerations. Existing mobility models can capture single-scale travel behavior within or between cities, but the unified modeling of multi-...
A universal workflow for creation, validation, and generalization of detailed neuronal models [0.03%]
一种用于创建、验证和概括详细神经元模型的通用工作流程
Maria Reva,Christian Rössert,Alexis Arnaudon et al.
Maria Reva et al.
Detailed single-neuron modeling is widely used to study neuronal functions. While cellular and functional diversity across the mammalian cortex is vast, most of the available computational tools focus on a limited set of specific features c...
Knowledge-driven learning, optimization, and experimental design under uncertainty for materials discovery [0.03%]
基于数据和知识的材料发现中的不确定性驱动学习、优化与实验设计
Xiaoning Qian,Byung-Jun Yoon,Raymundo Arróyave et al.
Xiaoning Qian et al.
Significant acceleration of the future discovery of novel functional materials requires a fundamental shift from the current materials discovery practice, which is heavily dependent on trial-and-error campaigns and high-throughput screening...
Hyun-Myung Woo,Xiaoning Qian,Li Tan et al.
Hyun-Myung Woo et al.
The need for efficient computational screening of molecular candidates that possess desired properties frequently arises in various scientific and engineering problems, including drug discovery and materials design. However, the enormous se...