Kavli Affiliate: Marcelo Mattar | Authors: Hua-Dong Xiong, Li Ji-An, Marcelo G Mattar and Robert C Wilson | Summary: Cognitive modeling provides a formal method to articulate and test hypotheses about cognitive processes. However, accurately and reliably estimating model parameters remains challenging due to common issues in behavioral science, such as limited data, measurement noise, […]
Kavli Affiliate: Maryam Ziaei | Authors: Arjun Dave, Shuer Ye, Leona R Batz, Xiaqing Lan, Heidi Jacobs and Maryam Ziaei | Summary: Interpreting ambiguous environmental cues, like facial expressions, becomes increasingly challenging with age, especially as cognitive resources decline. Managing these challenges requires adaptive neural mechanisms that are essential for maintaining mental well-being. The locus […]
Kavli Affiliate: Michael J Higley | Authors: Saroj Sah, Andrew D Sauerbeck, Jyoti Gupta, Dayana Pérez-Acuña, Jacob E Reiber, Dreson Russell, Thomas Goralski, Michael Henderson, Laura A Volpicelli-Daley, Michael J Higley, Terrance T Kummer and Thomas Biederer | Summary: Cognitive impairment is a frequent non-motor symptom in Parkinson’s disease, and cortical Lewy pathology is strongly […]
Kavli Affiliate: Jeffrey B. Neaton | First 5 Authors: Guy Ohad, María Camarasa-Gómez, Jeffrey B. Neaton, Ashwin Ramasubramaniam, Tim Gould | Summary: Optimal tuning of functional parameters in density functional theory approximations, based on enforcing the ionization potential theorem, has emerged as the method of choice for the non-empirical prediction of the electronic structure of […]
Kavli Affiliate: Lihong V. Wang | First 5 Authors: Yang Zhang, Karteekeya Sastry, Iyla Rossi, Joshua Olick-Gibson, Jonathan J. Russin | Summary: Noninvasive imaging deep into the adult brain at submillimeter and millisecond scales remains a challenge in medical imaging. Here, we report a helmet based ultrasound brain imager built from a customized helmet, a […]
Kavli Affiliate: Wei Gao | First 5 Authors: Yuxi Sun, Aoqi Zuo, Wei Gao, Jing Ma, | Summary: Large Language Models (LLMs) often exhibit knowledge disparities across languages. Encouraging LLMs to textit{abstain} when faced with knowledge gaps is a promising strategy to reduce hallucinations in multilingual settings. Current abstention strategies for multilingual scenarios primarily rely […]
Kavli Affiliate: Feng Wang | First 5 Authors: Feng Wang, Yiding Sun, Jiaxin Mao, Wei Xue, Danqing Xu | Summary: Large language models (LLMs) have demonstrated remarkable capabilities across various professional domains, with their performance typically evaluated through standardized benchmarks. However, the development of financial RAG benchmarks has been constrained by data confidentiality issues and […]