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相关论文: Physical limits to biomechanical sensing

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Collagen is the most abundant extracellular-matrix protein in mammals and the main structural and load-bearing element of connective tissues. Collagen networks show remarkable strain-stiffening properties which tune the mechanical functions…

软凝聚态物质 · 物理学 2021-06-18 Swarnadeep Bakshi , Vaisakh VM , Ritwick Sarkar , Sayantan Majumdar

The theory of disordered elastic systems is one of the most powerful frameworks to assess the physics of multiple systems that span from ferromagnets to migrating biological cells. In this formalism, one assumes that the system can be…

无序系统与神经网络 · 物理学 2022-11-28 Nirvana Caballero , Thierry Giamarchi

Fibrous networks such as collagen are common in biological systems. Recent theoretical and experimental efforts have shed light on the mechanics of single component networks. Most real biopolymer networks, however, are composites made of…

This work targets the influence of disorder on the relaxed structure and macroscopic mechanical properties of elastic networks. We construct network classes of different types of disorder (length, topology and stiffness), which are…

软凝聚态物质 · 物理学 2025-08-29 Stefanie Heyden , Mohit Pundir , Eric R. Dufresne , David S. Kammer

Bundles of polymer filaments are responsible for the rich and unique mechanical behaviors of many biomaterials, including cells and extracellular matrices. In fibrin biopolymers, whose nonlinear elastic properties are crucial for normal…

Collagen is the most abundant extracellular-network-forming protein in animal biology and is important in both natural and artificial tissues, where it serves as a material of great mechanical versatility. This versatility arises from its…

软凝聚态物质 · 物理学 2009-07-13 D. Vader , A. Kabla , D. Weitz , L. Mahadevan

Unlike most synthetic materials, biological materials often stiffen as they are deformed. This nonlinear elastic response, critical for the physiological function of some tissues, has been documented since at least the 19th century, but the…

软凝聚态物质 · 物理学 2009-11-10 Cornelis Storm , Jennifer J. Pastore , Fred C. MacKintosh , Tom C. Lubensky , Paul A. Janmey

The local elastic properties of strongly disordered host material are investigated using the theory of correlated random matrices. A significant increase in stiffness is shown in the interfacial region, which thickness depends on the…

无序系统与神经网络 · 物理学 2023-03-30 D. A. Conyuh , A. A. Semenov , Y. M. Beltukov

The mechanics of disordered fibrous networks such as those that make up the extracellular matrix are strongly dependent on the local connectivity or coordination number. For biopolymer networks this coordination number is typically between…

软凝聚态物质 · 物理学 2019-05-01 Sadjad Arzash , Jordan L. Shivers , Albert J. Licup , Abhinav Sharma , Fred C. MacKintosh

Backpropagation-optimized artificial neural networks, while precise, lack robustness, leading to unforeseen behaviors that affect their safety. Biological neural systems do solve some of these issues already. Unlike artificial models,…

神经与进化计算 · 计算机科学 2025-02-04 Konstantin Holzhausen , Mia Merlid , Håkon Olav Torvik , Anders Malthe-Sørenssen , Mikkel Elle Lepperød

We use a biophysical model of a local neuronal circuit to study the implications of synaptic plasticity for the detection of weak sensory stimuli. Networks with fast plastic coupling show behavior consistent with stochastic resonance.…

神经元与认知 · 定量生物学 2009-11-13 Vladislav Volman , Herbert Levine

The relation between network structure and dynamics is determinant for the behavior of complex systems in numerous domains. An important long-standing problem concerns the properties of the networks that optimize the dynamics with respect…

适应与自组织系统 · 物理学 2017-12-07 Takashi Nishikawa , Jie Sun , Adilson E. Motter

We construct a homogeneous, nonlinear elastic constitutive law, that models aspects of the mechanical behavior of inhomogeneous fibrin networks. Fibers in such networks buckle when in compression. We model this as a loss of stiffness in…

生物物理 · 物理学 2015-12-18 Phoebus Rosakis , Jacob Notbohm , Guruswami Ravichandran

Disordered athermal biopolymer materials, such as collagen networks that constitute a major component in extracellular matrices and various connective tissues, are initially soft and compliant but stiffen dramatically under strain. Such…

软凝聚态物质 · 物理学 2025-09-19 Zibin Zhang , Eran Bouchbinder , Edan Lerner

Networks of stiff fibers govern the elasticity of biological structures such as the extracellular matrix of collagen. These networks are known to stiffen nonlinearly under shear or extensional strain. Recently, it has been shown that such…

软凝聚态物质 · 物理学 2024-02-01 Sihan Chen , Tomer Markovich , Fred C. MacKintosh

Shape-morphing networks of mesoscale filaments are a common hierarchical feature in biology and hold significant potential for a range of technological applications, from micro-muscles to shape-morphing optical devices. Here, we demonstrate…

Collagen is the main structural and load-bearing element of various connective tissues, where it forms the extracellular matrix that supports cells. It has long been known that collagenous tissues exhibit a highly nonlinear stress-strain…

Reconstituted filamentous actin networks with myosin motor proteins form active gels, in which motor proteins generate forces that drive the network far from equilibrium. This motor activity can also strongly affect the network elasticity;…

软凝聚态物质 · 物理学 2010-09-21 C. P. Broedersz , F. C. MacKintosh

Many eukaryotic cells are able to perform directional mechanosensing by directly measuring minute spatial differences in the mechanical stress on their membranes. Here, we explore the limits of a single mechanosensitive channel activation…

生物物理 · 物理学 2022-09-29 Roland Bouffanais , Jianmin Sun , Dick K. P. Yue

Internally generated active stresses drive soft materials into architectures inaccessible to thermal self-assembly. We use a microtubule-based active fluid to assemble and irreversibly restructure actin-fascin networks. Subsequently, we…

软凝聚态物质 · 物理学 2026-05-13 Kyu Hwan Choi , Sattvic Ray , Reef Sweeney , Zvonimir Dogic , Sho C. Takatori