Neural circuits regulating social dominance implement a strategy predicted by evolutionary game theory

Posted by dbos UCSD / Salk

Kavli Affiliate: Kenta Asahina | Authors: Donovan Ventimiglia, Elizabeth Chamiec-Case, Claire S Lee, Bruce Ruff and Kenta Asahina | Summary: Social conflict is a fundamental challenge for all animals and determines access to critical resources like mates and food. Evolutionary game theory predicts that natural selection should yield competitive strategies that balance the benefits and […]


Continue.. Neural circuits regulating social dominance implement a strategy predicted by evolutionary game theory

Early development of direction selectivity in higher visual cortex

Posted by dbos Hopkins

Kavli Affiliate: Kristina Nielsen | Authors: Dallas C Khamiss, Augusto A Lempel, Brandon R Nanfito and Kristina Juliane Nielsen | Summary: A fundamental aspect of visual motion processing is the computation of motion direction. In ferrets, as in primates, selectivity for motion direction is found both in early cortical stages like the primary visual cortex […]


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WiCompass: Oracle-driven Data Scaling for mmWave Human Pose Estimation

Posted by klaurent Caltech

Kavli Affiliate: Wei Gao| Summary:Millimeter-wave Human Pose Estimation (mmWave HPE) promises privacy but suffers from poor generalization under distribution shifts. We demonstrate that brute-force data scaling is ineffective for out-of-distribution (OOD) robustness; efficiency and coverage are the true bottlenecks. To address this, we introduce WiCompass, a coverage-aware data-collection framework. WiCompass leverages large-scale motion-capture corpora to […]


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A ventral tegmental area GABAergic projection to the ventral pallidum regulates value-based decision making in mice

Posted by dbos Yale

Kavli Affiliate: Marina Picciotto | Authors: WenLiang Zhou, Hanna Yousuf, Yann S Mineur and Marina Picciotto | Summary: Activity of the mesolimbic system is essential for adaptive performance of reward-related behaviors. Within this system, dopaminergic (DAergic) neurons play a critical role in driving motivation to obtain rewards and encoding predictions and error signals during reinforcement […]


Continue.. A ventral tegmental area GABAergic projection to the ventral pallidum regulates value-based decision making in mice

Chandra Proper Motions and Milliarcsecond Astrometry of Nineteen Pulsars

Posted by klaurent Stanford

Kavli Affiliate: Roger Romani | Summary:We present X-ray proper motion (PM) measurements of 19 pulsars using new and archival data from the Chandra X-ray Observatory, including pulsar wind trails and X-ray filaments. Precise X-ray PMs are often limited by uncertainties in aligning observations to a common reference frame. Our analysis uses unresolved X-ray flux from […]


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Qubit error bursts in superconducting quantum processors of Quantum Inspire: quasiparticle pumping and anomalous time dependence

Posted by klaurent Delft

Kavli Affiliate: Leonardo Dicarlo | Summary:We investigate qubit error bursts in 5- and 7-transmon processors of similar design, fabrication and packaging, but with different types of qubit Josephson junctions. Measurements for each are performed in two refrigerators to discern device-specific from refrigerator-dependent characteristics. The duration and rate of bursts are device specific but within the […]


Continue.. Qubit error bursts in superconducting quantum processors of Quantum Inspire: quasiparticle pumping and anomalous time dependence

Qubit error bursts in superconducting quantum processors of Quantum Inspire: quasiparticle pumping and anomalous time dependence

Posted by klaurent Delft

Kavli Affiliate: Leonardo Dicarlo | Summary:We investigate qubit error bursts in 5- and 7-transmon processors of similar design, fabrication and packaging, but with different types of qubit Josephson junctions. Measurements for each are performed in two refrigerators to discern device-specific from refrigerator-dependent characteristics. The duration and rate of bursts are device specific but within the […]


Continue.. Qubit error bursts in superconducting quantum processors of Quantum Inspire: quasiparticle pumping and anomalous time dependence

Observation of Room-temperature Charge Density Wave Correlations via Coherent Phonon Spectroscopy in Sn-doped Kagome Superconductor CsV$_3$Sb$_5$

Posted by klaurent UCSB

Kavli Affiliate: Leon Balents | Summary:In this work, we perform ultrafast time-resolved reflectivity measurements to track the evolution of charge density wave (CDW) correlations in Sn-doped Kagome superconductor CsV$_3$Sb$_5-x$Sn$_x$. By extracting the coherent phonon spectrum, we evidence robust signatures of CDW correlations at temperature and doping ranges far beyond the phase boundary of long-range CDW […]


Continue.. Observation of Room-temperature Charge Density Wave Correlations via Coherent Phonon Spectroscopy in Sn-doped Kagome Superconductor CsV$_3$Sb$_5$

Possible stratospheric emission in the warm Neptune GJ 436 b from high-resolution spectroscopy

Posted by klaurent Caltech

Kavli Affiliate: Dimitri Mawet| Summary:We present high spectral resolution $L$ band (2.91–3.85 $μ$m) observations of the warm Neptune GJ 436 b from Keck II/KPIC. KPIC’s single-mode fiber feed reduces the $L$ band sky background by a factor of 100, significantly improving sensitivity compared to a seeing-limited spectrometer and enabling a tentative ($rm SNR = 3-4$) […]


Continue.. Possible stratospheric emission in the warm Neptune GJ 436 b from high-resolution spectroscopy

Identifying Exoplanets with Deep Learning VI. Enhancing neural network mitigation of stellar activity RV signals with additional metrics

Posted by klaurent MIT

Kavli Affiliate: Andrew Vanderburg | Summary:The measurement of exoplanet masses using the radial velocity (RV) technique is currently limited by stellar activity, which introduces quasiperiodic variability signals that must be modeled and removed to enhance the sensitivity of the RV measurements to exoplanet signals. Neural networks have previously been demonstrated effective in modeling stellar activity […]


Continue.. Identifying Exoplanets with Deep Learning VI. Enhancing neural network mitigation of stellar activity RV signals with additional metrics