Daniel Friedman on Muck Rack

Daniel Friedman

As seen in: Medium, Nature, New York Daily News, British Journal of Sports Medicine, Bleacher Report, Polygon, Mother Jones, Royal Society of Chemistry, Ottawa Citizen, The Lancet and
Former columnist/hot-take artist (@SINow, @WFAN660) and @StanFischler protégé. Hockey enjoyer. I don’t know why he’s in the lineup tonight.

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Daniel Friedman’s Journalist Portfolio

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2013 NHL Season Preview

2013 NHL Season Preview

Well folks, we survived. It took several months and game cancellations, but the NHL and NHLPA eventually shoo…

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New York Islanders: Growing Up Right Before Our Eyes

New York Islanders: Growing Up Right Before Our Eyes

Justin K. Aller/Getty Images I know what you're thinking: We've seen this before. Trust me, you haven't. Even…

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NHL Lockout: Trying to Make Sense of Nonsense

NHL Lockout: Trying to Make Sense of Nonsense

Bruce Bennett/Getty Images For hockey fans, the past 72 hours have been nothing short of nerve-wracking. On T…

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Hello Brooklyn: New York Islanders Announce Move to Barclays Center

Hello Brooklyn: New York Islanders Announce Move to Barclays Center

Bruce Bennett/Getty Images New York Islanders owner Charles Wang announced this afternoon that the franchise …

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NHL CBA Talks: In Battle of Rich vs. Richer, NHLPA's Been Better Soldier

NHL CBA Talks: In Battle of Rich vs. Richer, NHLPA's Been Better Soldier

Not to sound cliche, but folks, we're coming down to the wire. The September 15 deadline set by commissioner …

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NHL CBA Negotiations: Why Gary Bettman Isn't to Blame

NHL CBA Negotiations: Why Gary Bettman Isn't to Blame

Though I'm sure most of you won't bother reading the rest of this article and will immediately direct your at…

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Articles

Neural mechanisms of time-forward predictions for naturalistic auditory tone sequences

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By Thomas Baumgarten, Lua Koenig, Richard Hardstone, Adeen Flinker, Sasha Devore, Daniel Friedman, Patricia Dugan, Orrin Devinsky, Biyu J. He
| Nature Verified
Abstract Prediction of future events is essential for guiding effective actions in dynamic environments. Studies on the neural mechanisms for time-forward predictions have typically used stimuli with relatively simple statistical regularities. Here, we investigated time-forward predictions using stimuli containing statistical regularities similar to those found in natural auditory stimuli.
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Real-time brain-controlled selective hearing enhances speech perception in multi-talker environments

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By Vishal Choudhari, Maximilian Nentwich, SArah Johnson, Sarah Johnson, Jose L. Herrero, Stephan Bickel, Ashesh D. Mehta, Daniel Friedman, Adeen Flinker, Edward F. Chang, Nima Mesgarani
| Nature Verified
Abstract Understanding speech in noisy environments is difficult for many people, and current hearing aids often fail because they amplify all sounds rather than the talker of interest. Auditory attention decoding (AAD) offers a potential solution by using the listener’s brain signals to identify and enhance the attended speaker, but it has been unclear whether this can provide real-time perceptual benefits.
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Author Correction: Temporal structure of natural language processing in the human brain corresponds to layered hierarchy of large language models

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By Ariel Goldstein, Eric Ham, Mariano Schain, Samuel A. Nastase, Bobbi Aubrey, Zaid Zada, Harshvardhan Gazula, Amir Feder, Werner K. Doyle, Sasha Devore, Patricia Dugan, Daniel Friedman, Michael Brenner, Avinatan Hassidim, Yossi Matias, Orrin Devinsky, Noam Siegelman, Adeen Flinker, Roi Reichart, Uri Hasson, Avigail Grinstein-Dabush
| Nature Verified
Correction to: Nature Communications https://doi.org/10.1038/s41467-025-65518-0, published online 26 November 2025 In the version of this article initially published online, the colored plots in Fig. 3 were rendered incorrectly. The mistakes are in presentation and do not affect the results or conclusions of the study. For comparison, the original figure is available as Supplementary Information accompanying this amendment. The figure is now amended in the HTML and PDF versions of the article.
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