From Images to Dark Matter: End-To-End Inference of Substructure From Hundreds of Strong Gravitational Lenses

Posted by klaurent Stanford

Kavli Affiliate: Philip J. Marshall | First 5 Authors: Sebastian Wagner-Carena, Jelle Aalbers, Simon Birrer, Ethan O. Nadler, Elise Darragh-Ford | Summary: Constraining the distribution of small-scale structure in our universe allows us to probe alternatives to the cold dark matter paradigm. Strong gravitational lensing offers a unique window into small dark matter halos ($<10^{10} […]


Continue.. From Images to Dark Matter: End-To-End Inference of Substructure From Hundreds of Strong Gravitational Lenses

Spatially distributed computation in cortical circuits

Posted by klaurent UCSD / Salk

Kavli Affiliate: Thomas Albright | Authors: Sergei Gepshtein, Ambarish Pawar, Sunwoo Kwon, Sergey Savel’ev and Thomas D Albright | Summary: The traditional view of neural computation in the cerebral cortex holds that sensory neurons are specialized, i.e., selective for certain dimensions of sensory stimuli. This view was challenged by evidence of contextual interactions between stimulus […]


Continue.. Spatially distributed computation in cortical circuits

Loss of functional heterogeneity along the CA3 transverse axis in aging

Posted by klaurent Hopkins

Kavli Affiliate: Michela Gallagher, James Knierim | Authors: Heekyung Lee, Zitong Wang, Arjuna Tilekeratne, Nick Lukish, Scott Zeger, Michela Gallagher and James J Knierim | Summary: Age-related deficits in pattern separation have been postulated to bias the output of hippocampal memory processing toward pattern completion, which can cause deficits in accurate memory retrieval. While the […]


Continue.. Loss of functional heterogeneity along the CA3 transverse axis in aging

RFI Identification Based On Deep-Learning]{A Robust RFI Identification For Radio Interferometry based on a Convolutional Neural Network

Posted by klaurent Berkeley

Kavli Affiliate: Feng Wang | First 5 Authors: Haomin Sun, Hui Deng, Feng Wang, Ying Mei, Tingting Xu | Summary: The rapid development of new generation radio interferometers such as the Square Kilometer Array (SKA) has opened up unprecedented opportunities for astronomical research. However, anthropogenic Radio Frequency Interference (RFI) from communication technologies and other human […]


Continue.. RFI Identification Based On Deep-Learning]{A Robust RFI Identification For Radio Interferometry based on a Convolutional Neural Network