Multi-night naturalistic cortico-basal recordings reveal mechanisms of NREM slow wave suppression and spontaneous awakenings in Parkinson’s disease

Posted by klaurent UCSF

Kavli Affiliate: Philip Starr | Authors: Md Fahim Anjum, Clay Smyth, Derk-Jan Dijk, Philip Starr, Timothy Denison and Simon Little | Summary: Background: Sleep disturbance is a prevalent and highly disabling comorbidity in individuals with Parkinson’s disease (PD) that leads to worsening of daytime symptoms, accelerated disease progression and reduced quality of life. Objectives: We […]


Continue.. Multi-night naturalistic cortico-basal recordings reveal mechanisms of NREM slow wave suppression and spontaneous awakenings in Parkinson’s disease

Oxysterol-liver X receptor signaling mediates CYFIP1 regulation of cortical neurogenesis

Posted by klaurent Hopkins

Kavli Affiliate: David Linden | Authors: Daniel C de la Fuente, Claudia Tamburini, Emily Stonelake, William J Griffiths, Jeremy Hall, Michael J Owen, David E. J. Linden, Andrew Pocklington, Yuqin Wang and Meng Li | Summary: Dysregulation in neural progenitor proliferation and neuronal differentiation has been increasingly recognised as a common pathology in neural cells […]


Continue.. Oxysterol-liver X receptor signaling mediates CYFIP1 regulation of cortical neurogenesis

Interpretable Sparsification of Brain Graphs: Better Practices and Effective Designs for Graph Neural Networks

Posted by klaurent Berkeley

Kavli Affiliate: Xiang Zhang | First 5 Authors: Gaotang Li, Marlena Duda, Xiang Zhang, Danai Koutra, Yujun Yan | Summary: Brain graphs, which model the structural and functional relationships between brain regions, are crucial in neuroscientific and clinical applications involving graph classification. However, dense brain graphs pose computational challenges including high runtime and memory usage […]


Continue.. Interpretable Sparsification of Brain Graphs: Better Practices and Effective Designs for Graph Neural Networks

GPT-assisted learning of structure-property relationships by graph neural networks: Application to rare-earth doped phosphors

Posted by dbos Berkeley

Kavli Affiliate: Xiang Zhang | First 5 Authors: Xiang Zhang, Zichun Zhou, Chen Ming, Yi-Yang Sun, | Summary: Applications of machine learning techniques in materials science are often based on two key ingredients, a set of empirical descriptors and a database of a particular material property of interest. The advent of graph neural networks, such […]


Continue.. GPT-assisted learning of structure-property relationships by graph neural networks: Application to rare-earth doped phosphors

Discovering two-dimensional magnetic topological insulators by machine learning

Posted by dbos Peking

Kavli Affiliate: Jing Wang | First 5 Authors: Haosheng Xu, Yadong Jiang, Huan Wang, Jing Wang, | Summary: Topological materials with unconventional electronic properties have been investigated intensively for both fundamental and practical interests. Thousands of topological materials have been identified by symmetry-based analysis and ab initio calculations. However, the predicted magnetic topological insulators with […]


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DomainStudio: Fine-Tuning Diffusion Models for Domain-Driven Image Generation using Limited Data

Posted by dbos Peking

Kavli Affiliate: Jiansheng Chen | First 5 Authors: Jingyuan Zhu, Huimin Ma, Jiansheng Chen, Jian Yuan, | Summary: Denoising diffusion probabilistic models (DDPMs) have been proven capable of synthesizing high-quality images with remarkable diversity when trained on large amounts of data. Typical diffusion models and modern large-scale conditional generative models like text-to-image generative models are […]


Continue.. DomainStudio: Fine-Tuning Diffusion Models for Domain-Driven Image Generation using Limited Data

DomainStudio: Fine-Tuning Diffusion Models for Domain-Driven Image Generation using Limited Data

Posted by dbos Peking

Kavli Affiliate: Jiansheng Chen | First 5 Authors: Jingyuan Zhu, Huimin Ma, Jiansheng Chen, Jian Yuan, | Summary: Denoising diffusion probabilistic models (DDPMs) have been proven capable of synthesizing high-quality images with remarkable diversity when trained on large amounts of data. Typical diffusion models and modern large-scale conditional generative models like text-to-image generative models are […]


Continue.. DomainStudio: Fine-Tuning Diffusion Models for Domain-Driven Image Generation using Limited Data

DomainStudio: Fine-Tuning Diffusion Models for Domain-Driven Image Generation using Limited Data

Posted by klaurent Peking

Kavli Affiliate: Jiansheng Chen | First 5 Authors: Jingyuan Zhu, Huimin Ma, Jiansheng Chen, Jian Yuan, | Summary: Denoising diffusion probabilistic models (DDPMs) have been proven capable of synthesizing high-quality images with remarkable diversity when trained on large amounts of data. Typical diffusion models and modern large-scale conditional generative models like text-to-image generative models are […]


Continue.. DomainStudio: Fine-Tuning Diffusion Models for Domain-Driven Image Generation using Limited Data

Single neuron analysis of aging associated changes in learning reveals progressive impairments in transcriptional plasticity

Posted by klaurent Columbia

Kavli Affiliate: Robert Hawkins | Authors: Kerriann K Badal, Abhishek Sadhu, Carrie McCracken, Bindu L Raveendra, Sebastian Lozano-Villada, Amol C Shetty, Phillip Gillette, Yibo Zhao, Dustin Stommes, Lynne A Fieber, Michael C Schmale, Anup Mahurkar, Robert D Hawkins and Sathyanarayanan V Puthanveettil | Summary: Molecular mechanisms underlying aging associated impairments in learning and long-term memory […]


Continue.. Single neuron analysis of aging associated changes in learning reveals progressive impairments in transcriptional plasticity

Cosmic Explorer: A Submission to the NSF MPSAC ngGW Subcommittee

Posted by klaurent MIT

Kavli Affiliate: Peter Fritschel | First 5 Authors: Matthew Evans, Alessandra Corsi, Chaitanya Afle, Alena Ananyeva, K. G. Arun | Summary: Gravitational-wave astronomy has revolutionized humanity’s view of the universe, a revolution driven by observations that no other field can make. This white paper describes an observatory that builds on decades of investment by the […]


Continue.. Cosmic Explorer: A Submission to the NSF MPSAC ngGW Subcommittee