Exact Analysis of the Subthreshold Variability for Conductance-Based Neuronal Models with Synchronous Synaptic Inputs [0.03%]
基于导电性的神经模型的亚阈值变化的精确分析(具有同步突触输入)
Logan A Becker,Baowang Li,Nicholas J Priebe et al.
Logan A Becker et al.
The spiking activity of neocortical neurons exhibits a striking level of variability, even when these networks are driven by identical stimuli. The approximately Poisson firing of neurons has led to the hypothesis that these neural networks...
Tal Einav,Yuehaw Khoo,Amit Singer
Tal Einav
As experiments continue to increase in size and scope, a fundamental challenge of subsequent analyses is to recast the wealth of information into an intuitive and readily interpretable form. Often, each measurement conveys only the relation...
Crumpled polymer with loops recapitulates key features of chromosome organization [0.03%]
含有环状结构的聚合物皱褶模型再现了染色体组织的关键特征
Kirill E Polovnikov,Bogdan Slavov,Sergey Belan et al.
Kirill E Polovnikov et al.
Chromosomes are exceedingly long topologically-constrained polymers compacted in a cell nucleus. We recently suggested that chromosomes are organized into loops by an active process of loop extrusion. Yet loops remain elusive to direct obse...
Persistent Nonlinear Phase-Locking and Nonmonotonic Energy Dissipation in Micromechanical Resonators [0.03%]
微机械谐振器中的持久非线性相锁定及非常规能量耗散现象
Mingkang Wang,Diego J Perez-Morelo,Daniel Lopez et al.
Mingkang Wang et al.
Many nonlinear systems are described by eigenmodes with amplitude-dependent frequencies, interacting strongly whenever the frequencies become commensurate at internal resonances. Fast energy exchange via the resonances holds the key to rich...
Cell-Matrix Elastocapillary Interactions Drive Pressure-based Wetting of Cell Aggregates [0.03%]
细胞-基质弹力 capillary 力相互作用驱动的细胞聚集体的压力驱动湿润行为
M S Yousafzai,V Yadav,S Amiri et al.
M S Yousafzai et al.
Cell-matrix interfacial energies and the energies of matrix deformations may be comparable on cellular length-scales, yet how capillary effects influence tis sue shape and motion are unknown. In this work, we induce wetting (spreading and m...
Quantum Versus Classical Spin Fragmentation in Dipolar Kagome Ice Ho3Mg2Sb3O14 [0.03%]
量子与经典自旋碎片化在偶极子卡格尔冰Ho3Mg2Sb3O14中的对比研究
Zhiling Dun,Xiaojian Bai,Joseph A M Paddison et al.
Zhiling Dun et al.
A promising route to realize entangled magnetic states combines geometrical frustration with quantum-tunneling effects. Spin-ice materials are canonical examples of frustration, and Ising spins in a transverse magnetic field are the simples...
Optimal State Transfer and Entanglement Generation in Power-Law Interacting Systems [0.03%]
幂律相互作用系统中的最优状态传输与纠缠生成
Minh C Tran,Andrew Y Guo,Abhinav Deshpande et al.
Minh C Tran et al.
We present an optimal protocol for encoding an unknown qubit state into a multiqubit Greenberger-Horne-Zeilinger-like state and, consequently, transferring quantum information in large systems exhibiting power-law (1/rα) interactions. ...
Active Microphase Separation in Mixtures of Microtubules and Tip-Accumulating Molecular Motors [0.03%]
微管和末端积聚分子马达混合物中的活性微相分离
Bezia Lemma,Noah P Mitchell,Radhika Subramanian et al.
Bezia Lemma et al.
Mixtures of filaments and molecular motors form active materials with diverse dynamical behaviors that vary based on their constituents' molecular properties. To develop a multiscale of these materials, we map the nonequilibrium phase diagr...
Kamesh Krishnamurthy,Tankut Can,David J Schwab
Kamesh Krishnamurthy
Recurrent neural networks (RNNs) are powerful dynamical models, widely used in machine learning (ML) and neuroscience. Prior theoretical work has focused on RNNs with additive interactions. However gating i.e., multiplicative interactions a...
Elmer Guardado-Sanchez,Benjamin M Spar,Peter Schauss et al.
Elmer Guardado-Sanchez et al.
We induce strong nonlocal interactions in a 2D Fermi gas in an optical lattice using Rydberg dressing. The system is approximately described by a t - V model on a square lattice where the fermions experience isotropic nearest-neighbor inter...