Representing the dynamics of natural marmoset vocal behaviors in frontal cortex

Kavli Affiliate: Cory Miller | Authors: Jingwen Li, Mikio Christian Aoi and Cory Miller | Summary: Here we tested the respective contributions of primate premotor and prefrontal cortex to support vocal behavior. We applied a model-based GLM analysis that better accounts for the inherent variance in natural, continuous behaviors to characterize the activity of neurons […]


Continue.. Representing the dynamics of natural marmoset vocal behaviors in frontal cortex

Social state gates vision using three circuit mechanisms in Drosophila

Kavli Affiliate: Vanessa Ruta | Authors: Catherine E. Schretter, Tom Hindmarsh Sten, Nathan Klapoetke, Mei Shao, Aljoscha Nern, Marisa Dreher, Daniel Bushey, Alice A. Robie, Adam L. Taylor, Kristin M. Branson, Adriane Otopalik, Vanessa Ruta and Gerald M. Rubin | Summary: Animals are often bombarded with visual information and must prioritize specific visual features based […]


Continue.. Social state gates vision using three circuit mechanisms in Drosophila

Tell machine learning potentials what they are needed for: Simulation-oriented training exemplified for glycine

Kavli Affiliate: Ran Wang | First 5 Authors: Fuchun Ge, Ran Wang, Chen Qu, Peikun Zheng, Apurba Nandi | Summary: Machine learning potentials (MLPs) are widely applied as an efficient alternative way to represent potential energy surfaces (PES) in many chemical simulations. The MLPs are often evaluated with the root-mean-square errors on the test set […]


Continue.. Tell machine learning potentials what they are needed for: Simulation-oriented training exemplified for glycine

Tell machine learning potentials what they are needed for: Simulation-oriented training exemplified for glycine

Kavli Affiliate: Ran Wang | First 5 Authors: Fuchun Ge, Ran Wang, Chen Qu, Peikun Zheng, Apurba Nandi | Summary: Machine learning potentials (MLPs) are widely applied as an efficient alternative way to represent potential energy surface (PES) in many chemical simulations, e.g., geometry optimizations, frequency calculations, molecular dynamics, and Monte Carlo computations. However, there […]


Continue.. Tell machine learning potentials what they are needed for: Simulation-oriented training exemplified for glycine

Electrically controlled nonvolatile switching of single-atom magnetism in a Dy@C84 single-molecule transistor

Kavli Affiliate: Feng Wang | First 5 Authors: Feng Wang, Wangqiang Shen, Yuan Shui, Jun Chen, Huaiqiang Wang | Summary: Single-atom magnetism switching is a key technique towards the ultimate data storage density of computer hard disks and has been conceptually realized by leveraging the spin bistability of a magnetic atom under a scanning tunnelling […]


Continue.. Electrically controlled nonvolatile switching of single-atom magnetism in a Dy@C84 single-molecule transistor