Cortistatin neurons in the prelimbic cortex regulate seizure susceptibility in female mice via BDNF-TrkB signaling

Posted by dbos Hopkins

Kavli Affiliate: Keri Martinowich | Authors: Aaron J Salisbury, Lourdes Figueroa, Keri Martinowich and Michael Totty | Summary: The risk of developing psychiatric disorders, particularly stress-related disorders such as major depressive disorder (MDD) and post-traumatic stress disorder (PTSD), is increased threefold in patients with epilepsy. While this increased risk may arise as a consequence of […]


Continue.. Cortistatin neurons in the prelimbic cortex regulate seizure susceptibility in female mice via BDNF-TrkB signaling

Pathogenic tau in the mouse locus coeruleus induces noradrenergic hyperactivity and neuropsychiatric phenotypes reminiscent of early Alzheimers disease

Posted by dbos Hopkins

Kavli Affiliate: Keri Martinowich | Authors: Anu Korukonda, Harris E Blankenship, Korey Kam, Dilpreet Kour, Claudia Espinosa-Garcia, Wooyoung Eric Jang, Upsana Srivastava, Bernard Mulvey, Margaret M Tish, Ronit Witztum, Christina C Ramelow, Brittany S Pate, L Cameron Liles, Linyue Lu, Jake Atallah, Eugene Guo, Keri Martinowich, Amanda L Sharpe, Andrew Varga, Srikant Rangaraju, Michael J […]


Continue.. Pathogenic tau in the mouse locus coeruleus induces noradrenergic hyperactivity and neuropsychiatric phenotypes reminiscent of early Alzheimers disease

Modeling the Dynamics and Thermochemistry for the Outer Atmospheres of the Ultra-hot Jupiter WASP-121b

Posted by klaurent Peking

Kavli Affiliate: Lile Wang |Summary:We present three-dimensional simulations of the ultra-hot Jupiter (UHJ) WASP-121b from the planetary surface to extended outflows, coupling hydrodynamics with consistent non-equilibrium thermochemistry, ray-tracing radiative transfer, and hydrodynamics using the GPU-accelerated Kratos framework. The fiducial model exhibits several atmospheric layers, including the lower atmospheres controlled by day-night circulation, and transonic photoevaporative […]


Continue.. Modeling the Dynamics and Thermochemistry for the Outer Atmospheres of the Ultra-hot Jupiter WASP-121b

Modeling the Dynamics and Thermochemistry for the Outer Atmospheres of the Ultra-hot Jupiter WASP-121b

Posted by klaurent Peking

Kavli Affiliate: Lile Wang |Summary:We present three-dimensional simulations of the ultra-hot Jupiter (UHJ) WASP-121b from the planetary surface to extended outflows, coupling hydrodynamics with consistent non-equilibrium thermochemistry, ray-tracing radiative transfer, and hydrodynamics using the GPU-accelerated Kratos framework. The fiducial model exhibits several atmospheric layers, including the lower atmospheres controlled by day-night circulation, and transonic photoevaporative […]


Continue.. Modeling the Dynamics and Thermochemistry for the Outer Atmospheres of the Ultra-hot Jupiter WASP-121b

Modeling the Dynamics and Thermochemistry for the Outer Atmospheres of the Ultra-hot Jupiter WASP-121b

Posted by klaurent Peking

Kavli Affiliate: Lile Wang |Summary:We present three-dimensional simulations of the ultra-hot Jupiter (UHJ) WASP-121b from the planetary surface to extended outflows, coupling hydrodynamics with consistent non-equilibrium thermochemistry, ray-tracing radiative transfer, and hydrodynamics using the GPU-accelerated Kratos framework. The fiducial model exhibits several atmospheric layers, including the lower atmospheres controlled by day-night circulation, and transonic photoevaporative […]


Continue.. Modeling the Dynamics and Thermochemistry for the Outer Atmospheres of the Ultra-hot Jupiter WASP-121b

Probing RLVR training instability through the lens of objective-level hacking

Posted by klaurent Peking

Kavli Affiliate: Lijing Shao | Summary:Prolonged reinforcement learning with verifiable rewards (RLVR) has been shown to drive continuous improvements in the reasoning capabilities of large language models, but the training is often prone to instabilities, especially in Mixture-of-Experts (MoE) architectures. Training instability severely undermines model capability improvement, yet its underlying causes and mechanisms remain poorly […]


Continue.. Probing RLVR training instability through the lens of objective-level hacking

Probing RLVR training instability through the lens of objective-level hacking

Posted by klaurent Peking

Kavli Affiliate: Lijing Shao | Summary:Prolonged reinforcement learning with verifiable rewards (RLVR) has been shown to drive continuous improvements in the reasoning capabilities of large language models, but the training is often prone to instabilities, especially in Mixture-of-Experts (MoE) architectures. Training instability severely undermines model capability improvement, yet its underlying causes and mechanisms remain poorly […]


Continue.. Probing RLVR training instability through the lens of objective-level hacking