Rapid learning of neural circuitry from holographic ensemble stimulation enabled by model-based compressed sensing

Posted by klaurent Columbia

Kavli Affiliate: Liam Paninski | Authors: Marcus A. Triplett, Marta Gajowa, Benjamin Antin, Masato Sadahiro, Hillel Adesnik and Liam Paninski | Summary: Abstract Discovering how neural computations are implemented in the cortex at the level of monosynaptic connectivity requires probing for the existence of synapses from possibly thousands of presynaptic candidate neurons. Two-photon optogenetics has […]


Continue.. Rapid learning of neural circuitry from holographic ensemble stimulation enabled by model-based compressed sensing

X-ray and Radio Monitoring of the Neutron Star Low Mass X-ray Binary 1A 1744-361: Quasi Periodic Oscillations, Transient Ejections, and a Disk Atmosphere

Posted by klaurent MIT

Kavli Affiliate: Deepto Chakrabarty | First 5 Authors: Mason Ng, Andrew K. Hughes, Jeroen Homan, Jon M. Miller, Sean N. Pike | Summary: We report on X-ray (NICER/NuSTAR/MAXI/Swift) and radio (MeerKAT) timing and spectroscopic analysis from a three-month monitoring campaign in 2022 of a high-intensity outburst of the dipping neutron star low-mass X-ray binary 1A […]


Continue.. X-ray and Radio Monitoring of the Neutron Star Low Mass X-ray Binary 1A 1744-361: Quasi Periodic Oscillations, Transient Ejections, and a Disk Atmosphere

AGN STORM 2. VI. Mapping Temperature Fluctuations in the Accretion Disk of Mrk 817

Posted by klaurent MIT

Kavli Affiliate: Erin A. Kara | First 5 Authors: Jack M. M. Neustadt, Christopher S. Kochanek, John Montano, Jonathan Gelbord, Aaron J. Barth | Summary: We fit the UV/optical lightcurves of the Seyfert 1 galaxy Mrk 817 to produce maps of the accretion disk temperature fluctuations $delta T$ resolved in time and radius. The $delta […]


Continue.. AGN STORM 2. VI. Mapping Temperature Fluctuations in the Accretion Disk of Mrk 817

SpinPSO: An agent-based optimization workflow for identifying global noncollinear magnetic ground-states from first-principles

Posted by klaurent Berkeley

Kavli Affiliate: Kristin A. Persson | First 5 Authors: Guy C. Moore, Matthew K. Horton, Kristin A. Persson, , | Summary: We propose and implement a novel hybrid meta-heuristic optimization algorithm for the identification of non-collinear global ground-states in magnetic systems. The inputs to this optimization scheme are directly from non-collinear density functional theory (DFT), […]


Continue.. SpinPSO: An agent-based optimization workflow for identifying global noncollinear magnetic ground-states from first-principles

The Superconducting Quasiparticle-Amplifying Transmon: A Qubit-Based Sensor for meV Scale Phonons and Single THz Photons

Posted by klaurent Stanford

Kavli Affiliate: Noah A. Kurinsky | First 5 Authors: Caleb W. Fink, Chiara Salemi, Betty A. Young, David I. Schuster, Noah A. Kurinsky | Summary: With great interest from the quantum computing community, an immense amount of R&D effort has been invested into improving superconducting qubits. The technologies developed for the design and fabrication of […]


Continue.. The Superconducting Quasiparticle-Amplifying Transmon: A Qubit-Based Sensor for meV Scale Phonons and Single THz Photons

Determination of $|V_{cb}|$ using $overline{B}^0to D^{*+}ell^-barĪ½_ell$ decays with Belle II

Posted by klaurent Tokyo

Kavli Affiliate: T. Higuchi | First 5 Authors: Belle II Collaboration, I. Adachi, K. Adamczyk, L. Aggarwal, H. Aihara | Summary: We determine the CKM matrix-element magnitude $|V_{cb}|$ using $overline{B}^0to D^{*+}ell^-barnu_ell$ decays reconstructed in $189 , mathrm{fb}^{-1}$ of collision data collected by the Belle II experiment, located at the SuperKEKB $e^+e^-$ collider. Partial decay rates […]


Continue.. Determination of $|V_{cb}|$ using $overline{B}^0to D^{*+}ell^-barĪ½_ell$ decays with Belle II

Leveraging the Adolescent Brain Cognitive Development Study to improve behavioral prediction from neuroimaging in smaller replication samples

Posted by klaurent UCSD / Salk

Kavli Affiliate: Timothy Brown, Anders Dale | Authors: Carolina Makowski, Timothy T Brown, Weiqi Zhao, Donald J Hagler, Pravesh Parekh, Hugh Garavan, Thomas E Nichols, Terry L Jernigan and Anders M Dale | Summary: Magnetic resonance imaging (MRI) is a popular and useful non-invasive method to map patterns of brain structure and function to complex […]


Continue.. Leveraging the Adolescent Brain Cognitive Development Study to improve behavioral prediction from neuroimaging in smaller replication samples

Atomic Insights into the Oxidative Degradation Mechanisms of Sulfide Solid Electrolytes

Posted by klaurent Berkeley

Kavli Affiliate: Feng Wang | First 5 Authors: Chuntian Cao, Matthew R. Carbone, Cem Komurcuoglu, Jagriti S. Shekhawat, Kerry Sun | Summary: Electrochemical degradation of solid electrolytes is a major roadblock in the development of solid-state batteries, and the formed solid-solid interphase (SSI) plays a key role in the performance of solid-state batteries. In this […]


Continue.. Atomic Insights into the Oxidative Degradation Mechanisms of Sulfide Solid Electrolytes

Adolescent oligodendrogenesis and myelination restrict experience-dependent neuronal plasticity in adult visual cortex

Posted by klaurent UCSF

Kavli Affiliate: Michael Stryker | Authors: Wendy Xin, Megumi Kaneko, Richard H Roth, Albert Zhang, Sonia Nocera, Jun B Ding, Michael P Stryker and Jonah R Chan | Summary: BACKGROUND: Developmental myelination is a protracted process in the mammalian brain. One theory for why oligodendrocytes mature so slowly posits that myelination may stabilize neuronal circuits […]


Continue.. Adolescent oligodendrogenesis and myelination restrict experience-dependent neuronal plasticity in adult visual cortex

Dynamic DAG Discovery for Interpretable Imitation Learning

Posted by klaurent Berkeley

Kavli Affiliate: Xiang Zhang | First 5 Authors: ianxiang Zhao, Wenchao Yu, Suhang Wang, Lu Wang, Xiang Zhang | Summary: Imitation learning, which learns agent policy by mimicking expert demonstration, has shown promising results in many applications such as medical treatment regimes and self-driving vehicles. However, it remains a difficult task to interpret control policies […]


Continue.. Dynamic DAG Discovery for Interpretable Imitation Learning