A disinhibitory basal forebrain to cortex projection supports sustained attention

Posted by dbos UCSD / Salk

Kavli Affiliate: Edward Callaway | Authors: Shu-Jing Li, Balazs Hangya, Unmukt Gupta, Kyle B. Fischer, James Fitzhugh Sturgill, Edward M. Callaway and Adam Kepe | Summary: Sustained attention, as an essential cognitive faculty governing selective sensory processing, exhibits remarkable temporal fluctuations. However, the underlying neural circuits and computational mechanisms driving moment-to-moment attention fluctuations remain elusive. […]


Continue.. A disinhibitory basal forebrain to cortex projection supports sustained attention

Towards efficient machine-learning-based reduction of the cosmic-ray induced background in X-ray imaging detectors: increasing context awareness

Posted by dbos MIT

Kavli Affiliate: Catherine E. Grant | First 5 Authors: Artem Poliszczuk, Dan Wilkins, Steven W. Allen, Eric D. Miller, Tanmoy Chattopadhyay | Summary: Traditional cosmic ray filtering algorithms used in X-ray imaging detectors aboard space telescopes perform event reconstruction based on the properties of activated pixels above a certain energy threshold, within 3×3 or 5×5 […]


Continue.. Towards efficient machine-learning-based reduction of the cosmic-ray induced background in X-ray imaging detectors: increasing context awareness

Towards efficient machine-learning-based reduction of the cosmic-ray induced background in X-ray imaging detectors: increasing context awareness

Posted by dbos Stanford

Kavli Affiliate: Sven Herrmann | First 5 Authors: Artem Poliszczuk, Dan Wilkins, Steven W. Allen, Eric D. Miller, Tanmoy Chattopadhyay | Summary: Traditional cosmic ray filtering algorithms used in X-ray imaging detectors aboard space telescopes perform event reconstruction based on the properties of activated pixels above a certain energy threshold, within 3×3 or 5×5 pixel […]


Continue.. Towards efficient machine-learning-based reduction of the cosmic-ray induced background in X-ray imaging detectors: increasing context awareness

Towards efficient machine-learning-based reduction of the cosmic-ray induced background in X-ray imaging detectors: increasing context awareness

Posted by dbos MIT

Kavli Affiliate: Catherine E. Grant | First 5 Authors: Artem Poliszczuk, Dan Wilkins, Steven W. Allen, Eric D. Miller, Tanmoy Chattopadhyay | Summary: Traditional cosmic ray filtering algorithms used in X-ray imaging detectors aboard space telescopes perform event reconstruction based on the properties of activated pixels above a certain energy threshold, within 3×3 or 5×5 […]


Continue.. Towards efficient machine-learning-based reduction of the cosmic-ray induced background in X-ray imaging detectors: increasing context awareness

Towards efficient machine-learning-based reduction of the cosmic-ray induced background in X-ray imaging detectors: increasing context awareness

Posted by dbos MIT

Kavli Affiliate: Eric D. Miller | First 5 Authors: Artem Poliszczuk, Dan Wilkins, Steven W. Allen, Eric D. Miller, Tanmoy Chattopadhyay | Summary: Traditional cosmic ray filtering algorithms used in X-ray imaging detectors aboard space telescopes perform event reconstruction based on the properties of activated pixels above a certain energy threshold, within 3×3 or 5×5 […]


Continue.. Towards efficient machine-learning-based reduction of the cosmic-ray induced background in X-ray imaging detectors: increasing context awareness

Towards efficient machine-learning-based reduction of the cosmic-ray induced background in X-ray imaging detectors: increasing context awareness

Posted by dbos Stanford

Kavli Affiliate: Sven Herrmann | First 5 Authors: Artem Poliszczuk, Dan Wilkins, Steven W. Allen, Eric D. Miller, Tanmoy Chattopadhyay | Summary: Traditional cosmic ray filtering algorithms used in X-ray imaging detectors aboard space telescopes perform event reconstruction based on the properties of activated pixels above a certain energy threshold, within 3×3 or 5×5 pixel […]


Continue.. Towards efficient machine-learning-based reduction of the cosmic-ray induced background in X-ray imaging detectors: increasing context awareness

Towards efficient machine-learning-based reduction of the cosmic-ray induced background in X-ray imaging detectors: increasing context awareness

Posted by dbos Stanford

Kavli Affiliate: Sven Herrmann | First 5 Authors: Artem Poliszczuk, Dan Wilkins, Steven W. Allen, Eric D. Miller, Tanmoy Chattopadhyay | Summary: Traditional cosmic ray filtering algorithms used in X-ray imaging detectors aboard space telescopes perform event reconstruction based on the properties of activated pixels above a certain energy threshold, within 3×3 or 5×5 pixel […]


Continue.. Towards efficient machine-learning-based reduction of the cosmic-ray induced background in X-ray imaging detectors: increasing context awareness

Hydrophilic/ Omniphobic droplet arrays for high-throughput and quantitative enzymology

Posted by dbos Hopkins

Kavli Affiliate: Michael Miller | Authors: Byungjin Lee, Fanny Sunden, Michael Miller, Bumshik Pak, Anke Krebber, Stefan Lutz and Polly M Fordyce | Summary: Engineered enzymes with enhanced or novel functions are specific catalysts with wide-ranging applications in industry and medicine. Here, we introduce Droplet Array Microfluidic Enzyme Kinetics (DA-MEK), a high-throughput enzyme screening platform […]


Continue.. Hydrophilic/ Omniphobic droplet arrays for high-throughput and quantitative enzymology

Continued developments in X-ray speed reading: fast, low noise readout for next-generation wide-field imagers

Posted by dbos MIT

Kavli Affiliate: Gregory Prigozhin | First 5 Authors: Sven Herrmann, Peter Orel, Tanmoy Chattopadhyay, Glenn Morris, Gregory Prigozhin | Summary: Future strategic X-ray astronomy missions will require unprecedentedly sensitive wide-field imagers providing high frame rates, low readout noise and excellent soft energy response. To meet these needs, our team is employing a multi-pronged approach to […]


Continue.. Continued developments in X-ray speed reading: fast, low noise readout for next-generation wide-field imagers

Continued developments in X-ray speed reading: fast, low noise readout for next-generation wide-field imagers

Posted by dbos MIT

Kavli Affiliate: Marshall W. Bautz | First 5 Authors: Sven Herrmann, Peter Orel, Tanmoy Chattopadhyay, Glenn Morris, Gregory Prigozhin | Summary: Future strategic X-ray astronomy missions will require unprecedentedly sensitive wide-field imagers providing high frame rates, low readout noise and excellent soft energy response. To meet these needs, our team is employing a multi-pronged approach […]


Continue.. Continued developments in X-ray speed reading: fast, low noise readout for next-generation wide-field imagers