Mrugank Dake
@the_memory_guy
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Trying to understand stuff and me! PhD student @NYUPsych @nyuniversity BS-MS '21 @IiserTirupati
Manhattan, NY
Joined February 2019
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Respiration shapes the neural dynamics of successful remembering in humans. (By modifying alpha/beta rhythms) https://t.co/uhPIrN6dwX
#neuroscience
jneurosci.org
Respiration has been shown to impact memory retrieval, yet the neural dynamics underlying this effect remain unclear. Here, we investigated how respiration shapes both behavioral and neural express...
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Finally a causal formulation of spike-wave duality. Over the past couple of years I have been constantly asked about causality of brain waves. After two years of spontaneously thinking about this, I dared to put this "baby" out. Shout out to my talented collaborator
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Tomorrow Christoph will present DynaMix, the first foundation model for dynamical systems reconstruction, at #NeurIPS2025 Exhibit Hall C,D,E #2303
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This was much needed!
𝗪𝗵𝗲𝗻 𝗮𝗿𝗲 𝗯𝗿𝗮𝗶𝗻 𝘄𝗮𝘃𝗲𝘀 𝗰𝗮𝘂𝘀𝗮𝗹?? This one is likely to generate some discussion... https://t.co/i5WX8xsJie
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Opportunity to work on exciting bluesky problems with awesome people like @scychan !
Apply to our team researching the potential impacts of advanced AI -- economic, political, social, and cultural. It's an opportunity to work on (I believe) some of the most interesting and important questions of our time. Please forward to anyone that's a good fit!
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The CSHL School of Biological Sciences (@CSHLsbs) has launched a new Ph.D. program in BioAI. Machine learning has transformed science. This new program will equip today’s students with the tools they’ll need to make the groundbreaking biomedical discoveries of the future.
cshl.edu
AI and machine learning have transformed science, enabling new discoveries and laying the groundwork for lifesaving treatments. Yet, as valuable as these tools may be for science and medicine, few if...
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“In the end, it’s all pattern recognition. And mathematics is the ultimate pattern-recognition machine.” - Jim Simons
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It’s TODAY! 🤗 📍 Exhibit Hall C,D,E #2109 ⏰ 4:30-7:30pm
🗓️ Our #NeurIPS2025 poster is in 2 days on Dec 4! “Slow Transition to Low-Dimensional Chaos in Heavy-Tailed Recurrent Neural Networks” 📍 Exhibit Hall C,D,E #2109 ⏰ 4:30-7:30pm We will also be at NeurReps workshop on Dec 7 🙌 Plz come say hi! Happy to chat :)
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In this episode of the Brain Inspired podcast, Tatiana Engel discusses her modeling approach to discovering the connections between structure and function in the vast connectivity and activity patterns in the brain. https://t.co/rekxZDQBhL
thetransmitter.org
Neuroscientists have long sought to understand the relationship between structure and function in the vast connectivity and activity patterns in the brain. Engel discusses her modeling approach to…
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We are excited to announce that the Cognitive Computational Neuroscience meeting (CCN 2026) will be held at New York University from August 3–6, 2026. https://t.co/4IGtrEnvTv
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🗓️ Our #NeurIPS2025 poster is in 2 days on Dec 4! “Slow Transition to Low-Dimensional Chaos in Heavy-Tailed Recurrent Neural Networks” 📍 Exhibit Hall C,D,E #2109 ⏰ 4:30-7:30pm We will also be at NeurReps workshop on Dec 7 🙌 Plz come say hi! Happy to chat :)
Connectome suggests brain’s synaptic weights follow heavy-tailed distributions, yet most analyses of RNNs assume Gaussian connectivity. 🧵⬇️ Our @AllenInstitute #NeurIPS2025 paper shows heavy-tailed weights can strongly affect dynamics, trade off robustness + attractor
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[Review] The classic ‘what-where-when’ test isn’t enough to demonstrate true episodic memory in animals. A more reliable approach is to assess whether they can correctly answer an unexpected question about an event they encoded incidentally. Open access.
degruyterbrill.com
Episodic memory refers to the recall of memories concerned with unique, personal past experiences. It has been differentiated from semantic or rule learning that may be associatively learned....
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Neural dynamics are complex, varying in time and across experimental conditions. 🎉 Excited to share our #NeurIPS2025 work: we introduce Conditionally Linear Dynamical Systems (CLDS) as an interpretable and flexible model of neural dynamics. 🧵[1/9]
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Our python workshop is returning! Undergraduate educators, join us on July 27-30 for "Coding with Allen Institute Data." No prior coding experience needed. Travel, meals, & stipend included. Apply by February 2 at: https://t.co/rarDtGRNj3
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4-year PhD position in visual cognitive computational neuroscience at the University of Cambridge in my lab https://t.co/PIjnAu04g9 (soon advertising a postdoc position too; feel free to contact me)
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Obsession with power law keeps growing https://t.co/eNVQuRkA7R
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🚀 Thrilled to launch DeepScholar, an openly-accessible DeepResearch system we've been building at Berkeley & Stanford. DeepScholar efficiently processes 100s of articles, demonstrating strong long-form research synthesis capabilities, competitive with OpenAI's DR, while running
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Neurons don’t work alone, and neither do scientists. Yiliu Wang’s journey from AI theory to neuroscience at the Allen Institute is a story of collaboration, curiosity, and courage. Dive into her fellowship experience: https://t.co/TfpaGsAuPN
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Just in time for Thanksgiving! Here is my (very) short commentary titled "On the role of theories in consciousness science" published now in @CommsPsychol: https://t.co/mkSfq60JE7
nature.com
Communications Psychology - Consciousness Science is entering an age of unprecedented opportunity, thanks to recent empirical and theoretical advances, increasing interest in the topic, and...
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