Fast and accessible morphology-free functional fluorescence imaging analysis

Kavli Affiliate: Kishore V. Kuchibhotla and Adam S. Charles | Authors: Alejandro A Estrada Berlanga, Gabrielle Kang, Amanda Kwok, Thomas Broggini, Jennifer Lawlor, Kishore Kuchibhotla, David Kleninfeld, Gal Mishne and Adam Charles | Summary: Optical calcium imaging is a powerful tool for recording neural activity across a wide range of spatial scales, from dendrites and […]


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Survey of hippocampal responses to sound in naive mice reveals widespread activation by broadband noise onsets

Kavli Affiliate: Andrea Hasenstaub | Authors: James Bigelow, Toshiaki Suzuki, Yulang Wu, Ying Hu and Andrea R Hasenstaub | Summary: Recent studies suggest some hippocampal (HC) neurons respond to passively presented sounds in naive subjects, but the specificity and prevalence of these responses remain unclear. We used Neuropixels probes to record unit activity in HC […]


Continue.. Survey of hippocampal responses to sound in naive mice reveals widespread activation by broadband noise onsets

D3 dopamine receptors implicate a subtype of medium spiny neuron in the aversive effects of antipsychotic medications

Kavli Affiliate: Kevin Bender | Authors: Elinor Lewis, Jessie Muir, Ling C Li, Julianna Glienke, Sarah Warren Gooding, Kevin Bender, Christina Kim and Jennifer Whistler | Summary: Second generation antipsychotics (SGAs) are widely used clinical tools, yet they often cause negative side effects and take weeks to become effective, leading to poor patient compliance. The […]


Continue.. D3 dopamine receptors implicate a subtype of medium spiny neuron in the aversive effects of antipsychotic medications

Evaluating Temporal Plasticity in Foundation Time Series Models for Incremental Fine-tuning

Kavli Affiliate: Jia Liu | First 5 Authors: Jia Liu, Cheng Jinguo, Xia Fang, Zhenyuan Ma, Yuankai Wu | Summary: Time series foundation models excel at diverse time series forecasting tasks, but their capacity for continuous improvement through incremental learning remains unexplored. We present the first comprehensive study investigating these models’ temporal plasticity – their […]


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Grounding-MD: Grounded Video-language Pre-training for Open-World Moment Detection

Kavli Affiliate: Li Xin Li | First 5 Authors: Weijun Zhuang, Qizhang Li, Xin Li, Ming Liu, Xiaopeng Hong | Summary: Temporal Action Detection and Moment Retrieval constitute two pivotal tasks in video understanding, focusing on precisely localizing temporal segments corresponding to specific actions or events. Recent advancements introduced Moment Detection to unify these two […]


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Planet as a Brain: Towards Internet of AgentSites based on AIOS Server

Kavli Affiliate: Xiang Zhang | First 5 Authors: Xiang Zhang, Yongfeng Zhang, , , | Summary: The internet is undergoing a historical transformation from the "Internet of Websites" to the "Internet of AgentSites." While traditional Websites served as the foundation for information hosting and dissemination, a new frontier is emerging where AgentSites serve as the […]


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Mosquito sex under lock and key

Kavli Affiliate: Leslie B. Vosshall | Authors: Leah Houri-Zeevi, Madison M. Walker, Jacopo Razzauti, Anurag Sharma, H. Amalia Pasolli and Leslie B. Vosshall | Summary: Female mosquitoes typically mate once in a lifetime, making this singular mating decision critically important for the female. Yet, mosquito mating has been historically viewed as male-guided, with the female […]


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Deep Neural Networks for Modeling Astrophysical Nuclear reacting flows

Kavli Affiliate: Lile Wang | First 5 Authors: Xiaoyu Zhang, Yuxiao Yi, Lile Wang, Zhi-Qin John Xu, Tianhan Zhang | Summary: In astrophysical simulations, nuclear reacting flows pose computational challenges due to the stiffness of reaction networks. We introduce neural network-based surrogate models using the DeePODE framework to enhance simulation efficiency while maintaining accuracy and […]


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System of Agentic AI for the Discovery of Metal-Organic Frameworks

Kavli Affiliate: Kristin A. Persson | First 5 Authors: Theo Jaffrelot Inizan, Sherry Yang, Aaron Kaplan, Yen-hsu Lin, Jian Yin | Summary: Generative models and machine learning promise accelerated material discovery in MOFs for CO2 capture and water harvesting but face significant challenges navigating vast chemical spaces while ensuring synthetizability. Here, we present MOFGen, a […]


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Accurate Point Defect Energy Levels from Non-Empirical Screened Range-Separated Hybrid Functionals: the Case of Native Vacancies in ZnO

Kavli Affiliate: Jeffrey B. Neaton | First 5 Authors: Sijia Ke, Stephen E. Gant, Leeor Kronik, Jeffrey B. Neaton, | Summary: We use density functional theory (DFT) with non-empirically tuned screened range-separated hybrid (SRSH) functionals to calculate the electronic properties of native zinc and oxygen vacancy point defects in ZnO, and we predict their defect […]


Continue.. Accurate Point Defect Energy Levels from Non-Empirical Screened Range-Separated Hybrid Functionals: the Case of Native Vacancies in ZnO