25 papers · ranked by Valyu relevance
Tido Bergmans, Tansu Celikel
Understanding the structural organization of the brain is essential for deciphering how complex functions emerge from neural circuits. The Allen Mouse Brain Connectivity Atlas (AMBCA) has revolutionized our ability to quantify anatomical connectivity at a mesoscale resolution, bridging the gap between microscopic…
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The Polytope Formalism provides a rigorous and unifying mathematical framework for representing all possible molecular configurations and their interrelationships. Extending its application from stereoisomerism to molecular constitution reveals that both arise from a common structural foundation linking discrete and…
Chenglong Sang, Cheng Peng, Xin Gao
The software BrainConnect constitutes of four modules: single-neuron data processing, connectivity path construction, rAAV/AAV fluorescence data processing, and connectivity strength prediction from spatial transcriptomics ([btag120-F1]). The single-neuron images derived from fMOST were stored in Raw SWC file…
Mark C. Nelson, Wen Da Lu, Ilana R. Leppert, Golia Shafiei + 4 more
White matter structural connectivity constrains large-scale brain communication, yet most network models do not account for biologically meaningful differences between connections. Although axonal diameter and myelination influence neural signaling at the microscale, how these features shape systems-level functional…
Karolina Argote, Benoît Geslin, Lucyle Hernandez-Possémé, Mailys Queru + 2 more
Context Fragmented landscapes challenge biodiversity conservation. While connectivity elements are promoted to mitigate the effects of fragmentation, their effectiveness remains debated. Objectives This study evaluates the effectiveness of corridors and stepping stones in enhancing dispersal success and population…
Rajan, S. Soundar, Babujee, J. Baskar
Graph-theoretical labeling provides a rigorous mathematical framework for characterizing the structural and functional organization of complex networks. This paper investigates the application of cordial labeling and signed product cordial labeling to brain connectivity graphs, emphasizing their relevance to smallworld…
Xiu-Xia Xing, Xi-Nian Zuo
This study proposes a novel spatiotemporal connectome-based framework to characterize the human brain’s action network, namely network affinity, moving beyond traditional static temporal connectivity measures by leveraging full functional connectivity profiles on large-scale neural wave dynamics. We applied this method…
Simachew Abebe Mengiste, Demian Battaglia
Dynamic functional connectivity (dFC) is ubiquitously observed in the brain, but why functional networks should remain dynamic even at rest is unclear. We asked whether temporal reconfiguration becomes advantageous when keeping a functional link active is costly. Modeling resting-state dFC as a temporal communication…
Yuanyuan Zhang, Weidong Song, Jinguang Sun, Peng Dai + 1 more
Analyzing the spatial layout equilibrium of highway transportation networks is essential for optimizing transportation networks, enhancing system efficiency and sustainability. To promote the equitable distribution and management of highway traffic resources, this study introduces a framework for assessing the spatial…
Junxiang Xu, Chence Niu, Divya Jayakumar Nair, Vinayak Dixit
Connectivity degradation in transport networks under structural disturbance is a central problem in network resilience research. Existing methods rely mainly on percolation theory and topological connectivity measures. They focus on whether paths exist and whether connected components fragment. These approaches cannot…
Kayson Fakhar, Danyal Akarca, Andrea I. Luppi, Stuart Oldham + 5 more
Brains are often described as cost-efficient communication networks, optimally balancing the cost of long connections with the benefits of fast communication. Here, inspired by the “use it or lose it” principle, we present a novel game-theoretic model of self-organizing neural units and show that the brain is, in fact…
Mohit Garg, Aditya Subramanian
The Connectivity Augmentation Problem (CAP) is a fundamental problem in fault-tolerant network design and has been extensively studied in the context of approximation algorithms. In this work, we consider CAP in the online setting: given a $k$-edge-connected graph $G$ and a set $L$ of additional edges over the vertices…
Ruixiang Li, Mika Takahashi, Mizuki Kurosawa, Teppei Matsui + 1 more
Understanding how anatomical connectivity shapes brain activity is essential for clarifying brain function and disorders. In the human brain, the regional heterogeneity in structure-function (S-F) coupling is well characterized by measuring correlations between structural and functional connectivity. However, it…
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The rational construction of high-connectivity three-dimensional covalent organic frameworks (3D COFs) remains a central challenge in reticular chemistry, holding immense promise for advancing framework rigidity, porosity, and functional integration. From both fundamental and application standpoints, diversifying the…
N. Cross, F. Borgetto, M. Uji, A. Jegou + 6 more
The breakdown of cognitive control following sleep deprivation is widely recognised, but the physiological mechanisms and brain signatures that produce this vulnerability have not been resolved. Effective cognition relies on large-scale brain networks flexibly reconfiguring between states of integration and…
Ananias Ambrosio Quispe, Rodrigo Jardim Riella, Luciana Michelotto Iantorno, Patryk Henrique da Fonseca + 4 more
The Wi-SUN FAN (Wireless Smart Ubiquitous Network Field Area Network) standard facilitates large-scale connectivity among smart devices in utility networks and smart cities. Specifically designed for Low-Power and Lossy Networks (LLNs), Wi-SUN FAN supports the formation of multiple Personal Area Networks (PANs) and…
Yunlong Bian, Junhai Cao, Chengming He, Haidong Du + 3 more
The increasing diversity and complexity of modern mission scenarios have led to growing heterogeneity among nodes in mobile ad hoc networks: node functions, onboard devices, and operational parameters are becoming more diverse, and inter-node links are correspondingly no longer homogeneous. Such networks, termed…
R. Beivide, C. Leno Camarero, C. Pascual Mart�, Alex Ramírez + 1 more
The number of links in these networks is huge and grows rapidly with their size. This paper introduces LACIN, a set of complete graph implementations that use identically indexed ports to link switches. This way of implementing the network reduces the complexity of its cabling and its routing. LACIN eases the…
Alexa Mousley, Richard A. I. Bethlehem, Fang-Cheng Yeh, Duncan E. Astle
Structural topology develops non-linearly across the lifespan and is strongly related to cognitive trajectories. We gathered diffusion imaging from datasets with a collective age range of zero to 90 years old (N = 4,216). We analyzed how 12 graph theory metrics of organization change with age and projected these data…
Khen Cohen, Ariel Lellouch
Distributed Acoustic Sensing (DAS) enables the repurposing of existing fiber-optic networks as ultra-dense, long-range seismic arrays for urban monitoring. However, constraints imposed by real-world fiber infrastructure topology and components limit its use for city-scale applications. Recent technological developments…
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Despite the promise of self-driving laboratories to accelerate discovery, their widespread implementation is hindered by prohibitive cost and technical complexity. We introduce BrickSDLab, a fully functional self-driving lab platform built entirely from LEGO® components, designed to bridge this accessibility gap.…
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A framework for catalysis based on categorical aperture selection rather than temporal acceleration is presented. Traditional catalysis theory describes catalysts as agents that accelerate reactions by lowering activation energies, implicitly treating time as the fundamental variable and reaction rate enhancement as…
Aliaksandr Dabranau, Sune Lehmann, Ivana Konvalinka
People navigate dozens of social interactions daily. Through these, they construct and maintain diverse social networks. While personal dispositions drive how people interact and connect others, the resulting networks feed back into daily social experiences by creating interaction opportunities and modulating cognitive…
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Self-driving laboratories (SDLs) promise accelerated scientific discovery and product development by closing the loop between robotic execution and AI/ML-driven decision making. In practice, however, SDL orchestration remains fragmented; workflows are typically encoded as laboratory-specific scripts or bespoke…
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We present graphRC, a graph-based method for rapid transition state (TS) mode analysis that provides chemical insight along normal mode displacements and reaction coordinate trajectories by translating Cartesian displacements into meaningful internal coordinate changes. Internal coordinates are constructed using…