Matthew Nolan on Muck Rack

Matthew Nolan

Pembroke
As seen in: Color Research & Application, Nature, MDPI, Scientific American, Salon, New Zealand Herald, National Review, Cell Press, Political Economy with Jim Pethokoukis, PJ Media and
#Martech product guy. #Marketing, #analytics, & #decisioning practitioner @Pega. Member of @SABR since ‘04, Celtics devotee, and baseball-reference power user.
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Articles

Somatic mosaicism in ALS and FTD identifies focal mutations associated with widespread degeneration

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By Zinan Zhou, Junho Kim, August Yue Huang, Matthew Nolan, Junseok Park, Ryan Doan, Taehwan Shin, Michael Miller, Boxun Zhao, Jinhyeong Kim, Katherine Morillo, Rebecca C. Yeh, Connor J. Kenny, Jennifer Neil, Takuya Ohkubo, John Ravits, Olaf Ansorge, Lyle W. Ostrow, Clotilde Lagier-Tourenne, Eunjung Lee, Christopher Walsh, Mingyun Bae, Brian Chhouk, Chao-Zong Lee
| Nature
Abstract Although mutations in many genes cause familial amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD), most cases are sporadic (sALS and sFTD) with unclear etiology. Here we tested whether somatic mutations contribute to sALS and sFTD by deep targeted sequencing of 88 neurodegeneration-related genes in postmortem brain and spinal cord samples from 399 sporadic cases and 144 controls.
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How the Supreme Court’s IEEPA Ruling Could Recast US Tariffs | JD Supra

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By John Gurley, Tyler Kimberly, Matthew Nolan
| JD Supra
The US Supreme Court has fast-tracked challenges to President Trump’s unprecedented use of the International Emergency Economic Powers Act (IEEPA) to impose wide‑ranging tariffs, and based on recent oral argument, it is unclear how the Court will decide the case.
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How do ramping dynamics influence computations in the entorhinal cortex?

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By Matthew Nolan
| Cell Press
Keywords memory spatial cognition path integration recurrent network neural integrator neural circuit Neural codes for declarative memory and spatial cognition Investigations of neural circuits important for declarative memory (see Glossary) and spatial cognition are dominated by the idea that neurons employ localised and relatively sparse codes [1–3].
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