Diverse somatic genomic alterations in single neurons in chronic traumatic encephalopathy

Kavli Affiliate: Michael Miller | Authors: Guanlan Dong, Chanthia C Ma, Shulin Mao, Samuel M Naik, Katherine Sun-Mi Brown, Gannon A McDonough, Junho Kim, Samantha L Kirkham, Jonathan Cherry, Madeline Uretsky, Elizabeth Spurlock, Ann McKee, August Yue Huang, Michael B Miller, Eunjung Alice Lee and Christopher A Walsh | Summary: Chronic traumatic encephalopathy (CTE) is […]


Continue.. Diverse somatic genomic alterations in single neurons in chronic traumatic encephalopathy

Effectiveness of Digital Dispersion Compensation in OCT

Kavli Affiliate: Xingde Li | Authors: Fengquan Liu and Xingde Li | Summary: Dispersion mismatch in optical coherence tomography (OCT) is typically addressed through either physical or digital compensation. In this study, we investigate the impact of dispersion on OCT detection sensitivity and compare the effectiveness of physical and digital compensation across varying degrees of […]


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Chronic hyperactivation of midbrain dopamine neurons causes preferential dopamine neuron degeneration

Kavli Affiliate: Alexandra Nelson and Anatol Kreitzer | Authors: Katerina L Rademacher, Zak Doric, Dominik Haddad, Aphroditi Mamaligas, Szu-Chi Liao, Rose Creed, Kohei Kano, Zac Chatterton, Yuhong Fu, Joseph H Garcia, Victoria Vance, Yoshitaka Sei, Anatol Kreitzer, Glenda Halliday, Alexandra Nelson, Elyssa Margolis and Ken L Nakamura | Summary: Parkinson’s disease (PD) is characterized by […]


Continue.. Chronic hyperactivation of midbrain dopamine neurons causes preferential dopamine neuron degeneration

Differential glutamatergic and GABAergic responses drive divergent prefrontal cortex neural outcomes to low and high frequency stimulation

Kavli Affiliate: Jyoti Mishra and Dhakshin Ramanathan | Authors: Morteza Salimi, Milad Nazari, Jonathan Mishler, Mishra Jyoti and Dhakshin Ramanathan | Summary: Background Repetitive brain stimulation is hypothesized to bidirectionally modulate excitability, with low-frequency trains decreasing and high-frequency (>5 Hz) trains increasing activity. Most insights on the neuroplastic effects of repetitive stimulation protocols stem from […]


Continue.. Differential glutamatergic and GABAergic responses drive divergent prefrontal cortex neural outcomes to low and high frequency stimulation

A Deep, High-Angular Resolution 3D Dust Map of the Southern Galactic Plane

Kavli Affiliate: Michael Zucker| First 5 Authors: Catherine Zucker, Catherine Zucker, , , | Summary:We present a deep, high-angular resolution 3D dust map of the southern Galactic plane over $239^circ < ell < 6^circ$ and $|b| < 10^circ$ built on photometry from the DECaPS2 survey, in combination with photometry from VVV, 2MASS, and unWISE and […]


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Visualizing the breakdown of the quantum anomalous Hall effect

Kavli Affiliate: Katja C. Nowack | Summary:The creation of topologically non-trivial matter across electronic, mechanical, cold-atom, and photonic platforms is advancing rapidly, yet understanding the breakdown of topological protection remains a major challenge. In this work, we use magnetic imaging combined with global electrical transport measurements to visualize the current-induced breakdown of the quantum anomalous […]


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Federated nnU-Net for Privacy-Preserving Medical Image Segmentation

Kavli Affiliate: Richard Kessler| First 5 Authors: Grzegorz Skorupko, Grzegorz Skorupko, , , | Summary:The nnU-Net framework has played a crucial role in medical image segmentation and has become the gold standard in multitudes of applications targeting different diseases, organs, and modalities. However, so far it has been used primarily in a centralized approach where […]


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Add-One-In: Incremental Sample Selection for Large Language Models via a Choice-Based Greedy Paradigm

Kavli Affiliate: Zhuo Li | First 5 Authors: Zhuo Li, Zhuo Li, , , | Summary: Selecting high-quality and diverse training samples from extensive datasets plays a crucial role in reducing training overhead and enhancing the performance of Large Language Models (LLMs). However, existing studies fall short in assessing the overall value of selected data, […]


Continue.. Add-One-In: Incremental Sample Selection for Large Language Models via a Choice-Based Greedy Paradigm

Add-One-In: Incremental Sample Selection for Large Language Models via a Choice-Based Greedy Paradigm

Kavli Affiliate: Zhuo Li | First 5 Authors: Zhuo Li, Yuhao Du, Xiaoqi Jiao, Yiwen Guo, Yuege Feng | Summary: Selecting high-quality and diverse training samples from extensive datasets plays a crucial role in reducing training overhead and enhancing the performance of Large Language Models (LLMs). However, existing studies fall short in assessing the overall […]


Continue.. Add-One-In: Incremental Sample Selection for Large Language Models via a Choice-Based Greedy Paradigm