Brody Lab
@brody_lab
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Official Twitter account for the Brody Lab at Princeton University. Account run by a postdoc.
Princeton, NJ
Joined November 2016
Hello World! Follow for updates on neuroscience research from the Brody Lab at Princeton University.
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Our amazing postdocs, @thomaszluo and @julie_charlton_ , will be talking about cross-brain correlates of covert decision commitment. Come and stop by the nanosymposium "Neural Representation of Value and Choice During Decision Making" on Monday Oct 7th at 3:15 PM #sfn2024
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RT @briandepasquale: My long preprinted postdoc work with @jpillowtime @brody_lab in @eLife! We introduce a novel…
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RT @julie_charlton_: I’m excited to share the results of a massive collaborative effort from the @brody_lab, now in preprint form at: https…
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Our new preprint is out! Postdocs Thomas Luo (@thomaszluo), Adrian Bondy (@ayjreen), and Julie Charlton (@julie_charlton_) did a fantastic job exploring brain interactions during perceptual decision-making!
How do brain regions interact with each other to give rise to a perceptual decision? @ayjreen @julie_charlton_ and I addressed this question by recording from 8 Neuropixels probes at the same time in rats doing a decision-making task
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RT @tyboydmeredith: Very excited to have posted a new preprint on my PhD work in the @brody_lab where we show that rats can achieve near-op…
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Our last preprint is out! 📰🧠🪢 Fantastic work by @thomaszluo and @timkimd
What system does the brain use to make decisions? What are the dynamics of this system? In a new preprint, @timkimd and I tested systems-level theories of perceptual decision-making. 1/4
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RT @thomaszluo: What system does the brain use to make decisions? What are the dynamics of this system? In a new preprint, @timkimd and I t…
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Check out grad student Tim Kim's and postdoc Manuel Schottdorf's works at this year's Bernstein Conference! Tim is presenting his work as a contributing talk on Thursday 4:15–4:30pm, just after Manuel's poster in Session III between 12:30–2pm @MSchottdorf @timkimd
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Going to #cosyne2023 and interested in large-scale recording, modeling of spike trains, or decision-making? Come to Thomas Luo ('s poster (I043, Mar 9): "Distinct mechanisms for evidence accumulation and choice memory explain diverse neuronal dynamics!"
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📢🎉 Excited to share my latest work with @briandepasquale, @cdk007, and @brody_lab on how two common suboptimalities in decision-making (history biases and lapses) may be related and could arise from a single underlying cause! (1/2)
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Deeply saddened to hear of @shenoystanford Krishna Shenoy's passing. He was brilliant and gentle. He embodied the fact that world-class research could, and should, be built by labs fundamentally made of kindness and care for trainees, and for everyone.
It is with great sadness that we mark the passing of Krishna Shenoy. He was a pillar of our community, a brilliant scientist and a beloved mentor and colleague. We share our condolences with Krishna’s family, trainees and colleagues. Details to come on a planned memorial service.
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Congratulations 👏🥳 to Tyler Boyd-Meredith for a fantastic thesis defense 🎓 and for being a fabulous labmate!!! 🙌👏👏👏 @tyboydmeredith
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@chchatham @marinopagan @mikio_aoi @SussilloDavid @ValerioMante @jpillowtime @apaxon But that doesn't mean that the others aren't solutions, or aren't equally good models of brain function, and equally compatible with the data. That's my own take on this particular point, anyway. 🤷
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@chchatham @marinopagan @mikio_aoi @SussilloDavid @ValerioMante @jpillowtime @apaxon now imagine that in the space of the loss function, some solutions have a much bigger basin of attraction than others. Without knowing where to initialize, backdrop will tend to find that solution and not the others.
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@chchatham @marinopagan @mikio_aoi @SussilloDavid @ValerioMante @jpillowtime @apaxon Varying initialization weights has to be part of the answer-- e.g., if you initialize right at one of the solutions, that's it, you found it.
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Check out @marinopagan 's tweetprint for more details
🚨🚨🚨#TWEEPRINT TIME🚨🚨🚨 A big mystery in brain research is what are the neural mechanisms that drive individual differences in higher order cognitive processes. Here we present a new theoretical framework w/ @brody_lab @mikio_aoi @SussilloDavid @ValerioMante @jpillowtime 1/16
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2/2 For flexible, context-dependent decision-making, the space of network solutions is much larger than previously appreciated. Variability across individuals on where they are in this space is the underlying variable that jointly explains neural and behavioral variability.
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1/2 New preprint, led by @marinopagan @marinopagan@mastodon.social (he's on the job market! he's awesome!), together with a great team of collaborators!
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RT @ayjreen: Just getting started with or eager to learn more about @imec_int #neuropixels probes? There will be a rotating panel of expe…
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