BARseq3: a modular system for integrating spatial multi-omics and cellular barcoding in single cells

Kavli Affiliate: Justus M Kebschull | Authors: Huihui Qi, Manjari M-G Anant, Dylan Z Faltine-Gonzalez, Ruitao Hu, Lai Wei, Christopher D Workman, Caleb Shi, Ishbel Del Rosario and Justus M Kebschull | Summary: Understanding cellular identity requires multimodal measurements in single cells. Cellular barcoding provides powerful tools for recording the properties or history of individual […]


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Lever: Speculative LLM Inference on Smartphones

Kavli Affiliate: Wei Gao| Summary:Large language models (LLMs) are increasingly needed for interactive mobile applications, but high-quality models exceed the limited DRAM available on smartphones. Flash storage can hold larger models, yet flash-backed inference is slow because autoregressive decoding repeatedly invokes the target model and incurs costly I/O. We observe that speculative decoding is a […]


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High-Frequency Thermal Noise in Michelson Interferometers

Kavli Affiliate: Lee McCuller | Summary:New experiments are being developed without the background of quantum shot noise to look for weak, high-frequency signals using Michelson interferometers. Since shot noise is no longer the dominant noise source with these readout schemes, it is important to accurately model thermal noise to characterize signals and design more sensitive […]


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Granger Sensori-Behavioral Taxonomy of Neuronal Ensemble Activity from Two-Photon Calcium Imaging Data

Kavli Affiliate: Patrick Kanold | Authors: Sahar Khosravi, Nikolas A. Francis, Patrick O. Kanold and Behtash Babadi | Summary: Understanding how neuronal populations interact to encode and transform sensory information is a fundamental challenge in computational neuroscience. Most existing studies, however, study neural encoding, behavioral readout, and functional connectivity as disjoint problems. Two-photon calcium imaging […]


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Experience-Dependent Gain Modulation Drives Thermosensory Responses in Behavior

Kavli Affiliate: Damon Clark | Authors: Malcom Díaz García, Jonathan Beagan, Ernesto Cabezas-Bou, Matthew J. Thomas, Sandeep Kumar, Lin Shao, Xingyang Fu, Andrea Cuentas-Condori, Jacqueline R. McVay, Josh D. Hawk, Andrew Lauziere, William Mohler, Hari Shroff, Damon Clark and Daniel A. Colón-Ramos | Summary: Sensory neurons must extract behaviorally relevant features from dynamic environments while […]


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A flow cytometry-based assay to quantify the binding of transmembrane ligands to their cognate receptors using fluorescent virus-like particles

Kavli Affiliate: Jean-Laurent Casanova | Authors: Colin Kim, Maira Gaballa, Danyel Lee, Emmanuelle Jouanguy, Shen-Ying Zhang, Jean-Laurent Casanova and Ahmad Yatim | Summary: The binding of transmembrane (TM) ligands to their cognate TM receptors on neighboring cells governs intercellular adhesion and direct cell–cell communication. However, these interactions are difficult to study in vitro because they […]


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Spatial transcriptomics implicates the thalamus and cortex in autism and schizophrenia

Kavli Affiliate: Devanand Manoli | Authors: David M Young, Ruchira Sharma, Narjes Rohani, Chimmi Dema, Lindsay Liang, Bernie Devlin, Devanand S. Manoli and Stephan J SandersH. Janak | Summary: The past decade has seen tremendous progress in the identification of genes associated with complex neuropsychiatric disorders, including autism spectrum disorder (ASD) and schizophrenia. Expression patterns […]


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Bidirectional Internal Squeezing for Gravitational-Wave Detectors

Kavli Affiliate: Lee McCuller | Summary:We present a bidirectional internal squeezing scheme for gravitational-wave detectors and show that it saturates the lowest known lower bounds on quantum noise from internal optical dissipation. The scheme uses two optical parametric amplification stages inside the signal-extraction cavity that act on intra-cavity fields propagating in opposite directions. Thereby, most […]


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Analytical method for computing the covariance matrix of cosmic shear two-point correlation function

Kavli Affiliate: Masahiro Takada | Summary:Accurate estimation of the covariance matrix of cosmic shear statistics is essential for cosmological analyses using current and upcoming wide-area weak lensing surveys. In this work, we investigate analytical methods for computing the Gaussian covariance matrix of the cosmic shear two-point correlation function (2PCF), taking into account the effects of […]


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Clusters Hiding Under Millimeter Sources (CHUMS) I: Extreme CHUMS

Kavli Affiliate: Adam Mantz | Summary:Galaxy cluster abundance provides a powerful probe of the $Λ$CDM model and enables precise constraints on cosmological parameters. Millimeter-wavelength surveys detect clusters through the Sunyaev-Zeldovich (SZ) effect, and are particularly effective at high redshifts. However, the SZ signal can be significantly contaminated by emission from Active Galactic Nuclei (AGN), particularly […]


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