997 results match your criteria: "Flatiron Institute[Affiliation]"

Neurons in the hippocampus are correlated with different variables, including space, time, sensory cues, rewards and actions, in which the extent of tuning depends on ongoing task demands. However, it remains uncertain whether such diverse tuning corresponds to distinct functions within the hippocampal network or whether a more generic computation can account for these observations. Here, to disentangle the contribution of externally driven cues versus internal computation, we developed a task in mice in which space, auditory tones, rewards and context were juxtaposed with changing relevance.

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Curvature Dependence of Gravitational-Wave Tests of General Relativity.

Phys Rev Lett

December 2024

Center for Computational Astrophysics, Flatiron Institute, 162 5th Avenue, New York, New York 10010, USA.

High-energy extensions to general relativity modify the Einstein-Hilbert action with higher-order curvature corrections and theory-specific coupling constants. The order of these corrections imprints a universal curvature dependence on observations while the coupling constant controls the deviation strength. In this Letter, we leverage the theory-independent expectation that modifications to the action of a given order in spacetime curvature (Riemann tensor and contractions) lead to observational deviations that scale with the system length scale to a corresponding power.

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Momentum tunnelling between nanoscale liquid flows.

Nat Nanotechnol

January 2025

Laboratoire de Physique de l'Ecole Normale Supérieure, Paris, France.

The world of nanoscales in fluidics is the frontier where the continuum of fluid mechanics meets the atomic, and even quantum, nature of matter. While water dynamics remains largely classical under extreme confinement, several experiments have recently reported coupling between water transport and the electronic degrees of freedom of the confining materials. This avenue prompts us to reconsider nanoscale hydrodynamic flows under the perspective of interacting excitations, akin to condensed matter frameworks.

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In this work, we investigate anharmonic vibrational polaritons formed due to strong light-matter interactions in an optical cavity between radiation modes and anharmonic vibrations beyond the long-wavelength limit. We introduce a conceptually simple description of light-matter interactions, where spatially localized cavity radiation modes couple to localized vibrations. Within this theoretical framework, we employ self-consistent phonon theory and vibrational dynamical mean-field theory to efficiently simulate momentum-resolved vibrational-polariton spectra, including effects of anharmonicity.

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High-harmonic generation (HHG) is a nonlinear process in which a material sample is irradiated by intense laser pulses, causing the emission of high harmonics of incident light. HHG has historically been explained by theories employing a classical electromagnetic field, successfully capturing its spectral and temporal characteristics. However, recent research indicates that quantum-optical effects naturally exist or can be artificially induced in HHG, such as entanglement between emitted harmonics.

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The class of a-b power interaction models, proposed by Yu et al. (2024), provides a general framework for modeling sparse compositional count data with pairwise feature interactions. This class includes many distributions as special cases and enables zero count handling through power transformations, making it especially suitable for modern high- throughput sequencing data with excess zeros, including single-cell RNA-Seq and amplicon sequencing data.

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Recent observations have found a large number of supermassive black holes already in place in the first few hundred million years after the Big Bang, many of which seem to be overmassive relative to their host galaxy stellar mass when compared with local relation. Several different models have been proposed to explain these findings, ranging from heavy seeds to light seeds experiencing bursts of high accretion rate. Yet, current datasets are unable to differentiate between these various scenarios.

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Controlling the functional properties of quantum materials with light has emerged as a frontier of condensed-matter physics, leading to the discovery of various light-induced phases of matter, such as superconductivity, ferroelectricity, magnetism and charge density waves. However, in most cases, the photoinduced phases return to equilibrium on ultrafast timescales after the light is turned off, limiting their practical applications. Here we use intense terahertz pulses to induce a metastable magnetization with a remarkably long lifetime of more than 2.

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A two-step dance commits collagen to folding.

Proc Natl Acad Sci U S A

December 2024

Center for Computational Biology, Flatiron Institute, Simons Foundation, New York, NY 10010.

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In nature, animal vocalizations can provide crucial information about identity, including kinship and hierarchy. However, lab-based vocal behavior is typically studied during brief interactions between animals with no prior social relationship, and under environmental conditions with limited ethological relevance. Here, we address this gap by establishing long-term acoustic recordings from Mongolian gerbil families, a core social group that uses an array of sonic and ultrasonic vocalizations.

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It is widely recognized that reciprocal interactions between cells and their microenvironment, via mechanical forces and biochemical signaling pathways, regulate cell behaviors during normal development, homeostasis and disease progression such as cancer. However, it is still not well understood how complex patterns of tissue growth emerge. Here, we propose a framework for the chemomechanical regulation of growth based on thermodynamics of continua and growth-elasticity to predict growth patterns.

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Dynamical Exciton Condensates in Biased Electron-Hole Bilayers.

Phys Rev Lett

November 2024

Department of Physics, Columbia University, 538 West 120th Street, New York, New York 10027, USA.

Bilayer materials may support interlayer excitons comprised of electrons in one layer and holes in the other. In experiments, a nonzero exciton density is typically sustained by a bias chemical potential, implemented either by optical pumping or by electrical contacts connected to the two layers. We show that if charge can tunnel between the layers, the chemical potential bias means that an exciton condensate is in the dynamical regime of ac Josephson effect.

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Programming tissue-sensing T cells that deliver therapies to the brain.

Science

December 2024

UCSF Cell Design Institute and Department of Cellular & Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA.

Article Synopsis
  • - Scientists identified specific proteins and molecules in the central nervous system (CNS) that can be targeted to create engineered cells for therapy.
  • - They developed synthetic Notch receptors to program T cells to release certain treatments only in the brain, effectively clearing brain tumors without affecting cells in other areas.
  • - The research also found that T cells delivering interleukin-10, an immune-suppressing cytokine, helped reduce symptoms in a mouse model of neuroinflammation, showing potential for targeted treatment strategies.
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Strong laser pulses can control superconductivity, inducing nonequilibrium transient pairing by leveraging strong-light matter interaction. Here, we demonstrate theoretically that equilibrium ground-state phonon-mediated superconductive pairing can be affected through the vacuum fluctuating electromagnetic field in a cavity. Using the recently developed ab initio quantum electrodynamical density-functional theory approximation, we specifically investigate the phonon-mediated superconductive behavior of MgB[Formula: see text] under different cavity setups and find that in the strong light-matter coupling regime its superconducting transition temperature T[Formula: see text] can be enhanced at most by [Formula: see text]10% in an in-plane (or out-of-plane) polarized and realistic cavity via photon vacuum fluctuations.

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The 2024 New York City Integrative Structural Biology Symposium.

Trends Pharmacol Sci

January 2025

Simons Electron Microscopy Center, New York Structural Biology Center, New York, NY 10027, USA. Electronic address:

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Article Synopsis
  • Higher brain functions rely on how experiences shape information representation, potentially organized through attractor dynamics or changes in neural manifolds.
  • Research on zebrafish's olfactory responses showed that instead of attractor dynamics, training improved the differentiation of neural representations for relevant odors, in line with autoassociative network models.
  • The geometry of these neural manifolds was crucial for classifying sensory information and predicting odor discrimination, indicating that areas like pDp might encode information in a way that supports both sensory and meaningful learning.
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Predicting modular functions and neural coding of behavior from a synaptic wiring diagram.

Nat Neurosci

December 2024

Institute for Computational Biomedicine and the Department of Physiology and Biophysics, Weill Cornell Medical College, New York, NY, USA.

A long-standing goal in neuroscience is to understand how a circuit's form influences its function. Here, we reconstruct and analyze a synaptic wiring diagram of the larval zebrafish brainstem to predict key functional properties and validate them through comparison with physiological data. We identify modules of strongly connected neurons that turn out to be specialized for different behavioral functions, the control of eye and body movements.

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Article Synopsis
  • Researchers studied how gametes (reproductive cells) develop in clusters called cysts, which are formed from germ cells connected by intercellular bridges that allow them to share materials.
  • They used advanced live imaging techniques to observe the movement and behavior of these germ cells in their natural environment, revealing how their motility contributes to the formation and breaking of these cysts during embryonic development.
  • The study suggests a balance between cell movement and the stability of intercellular connections determines the size of cysts, with implications for understanding how oocytes (egg cells) are selected and the overall female reproductive system development.
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Protein-protein interaction (PPI) networks are a fundamental resource for modeling cellular and molecular function, and a large and sophisticated toolbox has been developed to leverage their structure and topological organization to predict the functional roles of under-studied genes, proteins, and pathways. However, the overwhelming majority of experimentally-determined interactions from which such networks are constructed come from a small number of well-studied model organisms. Indeed, most species lack even a single experimentally-determined interaction in these databases, much less a network to enable the analysis of cellular function, and methods for computational PPI prediction are too noisy to apply directly.

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The spectral and transport properties of strongly correlated metals, such as SrVO_{3} (SVO), are widely attributed to electron-electron (e-e) interactions, with lattice vibrations (phonons) playing a secondary role. Here, using first-principles electron-phonon (e-ph) and dynamical mean field theory calculations, we show that e-ph interactions play an essential role in SVO: they govern the electron scattering and resistivity in a wide temperature range down to 30 K, and induce an experimentally observed kink in the spectral function. In contrast, the e-e interactions control quasiparticle renormalization and low temperature transport, and enhance the e-ph coupling.

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The two-dimensional Yukawa-Sachdev-Ye-Kitaev (2D-YSYK) model provides a universal theory of quantum phase transitions in metals in the presence of quenched random spatial fluctuations in the local position of the quantum critical point. It has a Fermi surface coupled to a scalar field by spatially random Yukawa interactions. We present full numerical solutions of a self-consistent disorder averaged analysis of the 2D-YSYK model in both the normal and superconducting states, obtaining electronic spectral functions, frequency-dependent conductivity, and superfluid stiffness.

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Confinement in the Transverse Field Ising Model on the Heavy Hex Lattice.

Phys Rev Lett

November 2024

Center for Computational Quantum Physics, Flatiron Institute, New York, New York 10010, USA.

Inspired by a recent quantum computing experiment [Y. Kim et al., Nature (London), 618, 500-5 (2023)NATUAS0028-083610.

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Advances and Challenges in Milestoning Simulations for Drug-Target Kinetics.

J Chem Theory Comput

November 2024

Department of Molecular Biology, University of California San Diego, La Jolla, California 92093, United States.

Molecular dynamics simulations have become indispensable for exploring complex biological processes, yet their limitations in capturing rare events hinder our understanding of drug-target kinetics. In this Perspective, we investigate the domain of milestoning simulations to understand this challenge. The milestoning approach divides the phase space of the drug-target complex into discrete cells, offering extended time scale insights.

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Our knowledge of galaxy formation and evolution has incredibly progressed through multi-wavelength observational constraints of the interstellar medium (ISM) of galaxies at all cosmic epochs. However, little is known about the physical properties of the more diffuse and lower surface brightness reservoir of gas and dust that extends beyond ISM scales and fills dark matter haloes of galaxies up to their virial radii, the circumgalactic medium (CGM). New theoretical studies increasingly stress the relevance of the latter for understanding the feedback and feeding mechanisms that shape galaxies across cosmic times, whose cumulative effects leave clear imprints into the CGM.

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We study the dynamics of proliferating cell collectives whose microscopic constituents' growth is inhibited by macroscopic growth-induced stress. Discrete particle simulations of a growing collective show the emergence of concentric-ring patterns in cell size whose spatiotemporal structure is closely tied to the individual cell's stress response. Motivated by these observations, we derive a multiscale continuum theory whose parameters map directly to the discrete model.

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