We study emotions: what they are & how they work. We use experiential, behavioral, psychophysiological, + brain-imaging techniques. Tweets by @joseph_fridman.
SEVEN AND A HALF LESSONS ABOUT THE BRAIN: Best Books 2020 (Amazon + Barnes & Noble), Starred Review (Kirkus), "Must-read" (Discover Mag), "Beautiful writing" (@DavidEagleman), "Remarkable insights" (@DanielPink). The world's first neuroscience beach-read. https://t.co/1d3aqs3UED
“In short, your brain’s most important job is not thinking. It’s running a little worm body that has become very, very complicated…”
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Been waiting on this for months, and it’s as good as I expected! Thank you, @LFeldmanBarrett
@HarvardBiz Looks like @HarvardBiz needs to keep up to date on the scientific literature. Outdated articles like this one are so unfortunate. https://t.co/vey8Q7LKoL
Shout out to @HarvardBooks, one of my favorite local independent bookstores, for featuring "Seven and a Half Lessons About the Brain" in on their (virtual) new release bookshelf. https://t.co/KsMXbHIeQF
Author George Hammond ("Conversations With Socrates") and I will be livestreaming a conversation about the brain, hosted by the Commonwealth Club (online) on Tuesday, December 1! Topic: "7-1/2 LESSONS ABOUT THE BRAIN." Registration is required. https://t.co/giXB6zBv68
Lex (@LexFridman) asked me back on his show for "Round 2" of our in-depth conversation about mind, brain, and the meaning of life. https://t.co/eCX67kCiRd
Are you looking for advice about applying for graduate school? @NYUPsych faculty and PhD students have made a news series of short videos with advice for all elements of your application: https://t.co/gBtKFzOtCw
Here are my tips on crafting your CV: https://t.co/F4fJzsNyVJ
Much of what you think you know about the brain is wrong, writes @anniemurphypaul. @LFeldmanBarrett's work can change that — and to help you make your life better in the process. https://t.co/jM0EpW413h
More research is necessary to clarify these findings! The authors end by discussing all the different, exciting future directions we can take as affective scientists to improve our ability to answer these questions!
The authors discuss 2 potential explanations for these outcomes that require future study - either our methods for assessing emotion have flaws, or our emotion categories are not equally useful for understanding biological signals across individuals/contexts
Overall, above-chance classification accuracy was seen in the supervised clustering methods - emotion categories are telling us *something* about these signals. However, the unsupervised analyses did not correspond with emotion category labels across datasets
Using machine learning, they studied the correspondence of emotion labels with fMRI BOLD, autonomic nervous system, & self-reports of experience data, comparing supervised (using emotion categories) vs. unsupervised (no pre-assigned labels) clustering methods