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MIT Picower Institute Profile
MIT Picower Institute

@MIT_Picower

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Dedicated to understanding the mechanisms underlying learning and memory and related brain functions and disease. Profile art by @toddsiler

Cambridge, Massachusetts
Joined May 2010
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@MIT_Picower
MIT Picower Institute
9 days
When spotting what’s changed from one scene to the next, performance will depend on a low-frequency “theta” brain wave that scans the mental image, a new MIT study in @NeuroCellPress shows https://t.co/kMQb7nRZaz #neuroscience #cognition @ScienceMIT @mitbrainandcog
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picower.mit.edu
When spotting what’s changed from one scene to the next, performance will depend on a low-frequency “theta” brain wave that scans the mental image, a new MIT study shows.
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@MIT_Picower
MIT Picower Institute
17 hours
At our Fall Symposium, "Circuits of Survival and Homeostasis," seven speakers from around the country convened to describe some of the latest research on the neural mechanisms that we need to survive and thrive. https://t.co/S7jwQ1g1FM #neuroscience @ScienceMIT @MITBiology
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picower.mit.edu
Seven speakers from around the country convened at MIT to describe some of the latest research on the neural mechanisms that we need to survive.
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@MIT_Picower
MIT Picower Institute
2 days
Three late-onset #Alzheimers patients who received 40Hz sensory stimulation for ~2 years performed significantly better on several assessments than comparable Alzheimer’s patients outside MIT's clinical study of the potential therapy. https://t.co/UDs4diebKf #neuroscience
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picower.mit.edu
Five volunteers continued receiving 40Hz stimulation for around two years after an early-stage MIT clinical study. Those with late-onset Alzheimer’s performed significantly better on assessments than...
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@MIT_Picower
MIT Picower Institute
7 days
Excited that our MIT-based team has advanced to the semifinals! Learn about our project, FINGERPRINT: An agentic AI that will link discovery, prevention and therapy by reasoning across multiple biological and clinical data sets. https://t.co/REmVZFbuqD @MITMechE @AgingBrainMIT
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picower.mit.edu
“FINGERPRINT,” proposes to use AI to link discovery, prevention, therapy by reasoning across multiple biological and clinical data sets.
@AlzData
Alzheimer's Disease Data Initiative
8 days
Meet the 10 exceptional semifinalists advancing to the next round of the $1M Alzheimer's Insights AI Prize! These projects demonstrated strong scientific and technical merit, innovative application of agentic AI, and outstanding potential to reshape the future of ADRD research.
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@MIT_Picower
MIT Picower Institute
9 days
Huge Congrats to Picower Institute Research Scientist Clover Su, who ran the Chicago Marathon earlier this month to raise money for the Alzheimer's Association! Running a marathon is a great way to bring help for people with Alzheimer's thousands of steps closer. #Alzheimers
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@MillerLabMIT
Earl K. Miller
9 days
New paper: Working memory readout varies with frontal theta rhythms. A theta traveling wave swept across the frontal cortex like radar, modulating working memory performance. Because cognition is rhythmic. https://t.co/nmCcINu3ef #neuroscience @MIT_Picower @mitbrainandcog @MIT
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cell.com
Han et al. show that frontal theta oscillations rhythmically control access to working memory. The theta rhythm sweeps across the mental image, shaping behavior by coordinating spikes and beta...
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@MIT_Picower
MIT Picower Institute
12 days
New in @PNASNews: Cultured from induced pluripotent stem cells, ‘miBrains’ integrate all major brain cell types and model brain structures, cellular interactions, activity, and pathological features. https://t.co/SZYlTA5PFJ #neuroscience @kochinstitute
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picower.mit.edu
Cultured from induced pluripotent stem cells, ‘miBrains’ integrate all major brain cell types and model brain structures, cellular interactions, activity, and pathological features.
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@AliceStanton
Alice Stanton
12 days
Our engineered 3D immuno-glial-neurovascular human miBrain model paper is now live in PNAS: https://t.co/e7NSP4wR0O. > all iPSC-based > 6 major brain cell types > 3D integral networks co-cultured > limitless possibilities for discovery
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@MIT_Picower
MIT Picower Institute
13 days
MIT neuroscientists show in a new study that loops of RNA can strongly influence how neurons build circuit connections, or synapses, during the development of the visual system in young mice. https://t.co/B1eg6C0eqB #neuroscience @mitbrainandcog @ScienceMIT
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picower.mit.edu
MIT neuroscientists show in a new study that loops of RNA can strongly influence how neurons build circuit connections, or synapses, during the development of the visual system in young mice.
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@MIT_Picower
MIT Picower Institute
15 days
MIT scientists have discovered how neural activity helps brain circuit connections become tuned to the right size and degree of signal transmission in fruit fly models. https://t.co/IxFsua93h3 #neuroscience @MITBiology @ScienceMIT
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picower.mit.edu
By carefully tracking the formation and maturation of synaptic active zones in fruit flies, MIT scientists have discovered how neural activity helps circuit connections become tuned to the right size...
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@MIT_Picower
MIT Picower Institute
15 days
🧠A week from today, join us @MIT for "Circuits of Survival and Homeostasis." It will be a fascinating day of talks about the links between body and brain. https://t.co/wUL4rUowy8
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@MIT_Picower
MIT Picower Institute
21 days
Subscribe to our newsletter for free:
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picower.mit.edu
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@MIT_Picower
MIT Picower Institute
21 days
Our labs' studies have revealed a number of ways moods emerge in the brain and therefore are providing potential paths to address depression, PTSD, anxiety and bipolar disorder. Learn more in our Fall newsletter cover story. https://t.co/aK1YiFEWwD #neuroscience #mood
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picower.mit.edu
Picower Institute studies reveal a number of ways moods emerge in the brain and therefore many potential paths to address depression, PTSD, anxiety and bipolar disorder.
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@MillerLabMIT
Earl K. Miller
22 days
For all the knucklehead reviewers out there. Principles for proper peer review - Earl K. Miller https://t.co/godgWGWFmG #neuroscience
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jocnf.pubpub.org
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@MIT_Picower
MIT Picower Institute
22 days
Visually observing neural activity in freely moving animals requires identifying and tracking cells as they move. In eLife, the Flavell lab describes deep neural networks to enable this in a nematode worm (and applies some to jellyfish too!). https://t.co/fzYcDOatQO #neuroscience
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