Mrugank Dake @the_memory_guy
Trying to understand stuff and me! PhD student @NYUPsych @nyuniversity BS-MS '21 @IiserTirupati mindemory.github.io Manhattan, NY Joined February 2019-
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Mrugank Dake retweeted
Building reproducible systems across labs is possible, even in large-scale neuroscience. You just need rigor, collaboration and the willingness to look your own practices in the eye, writes @anne_churchland. thetransmitter.org/reproducibilit…
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Mrugank Dake retweeted
The 3rd edition of my book Deep Learning with Python is being printed right now, and will be in bookstores within 2 weeks. You can order it now from Amazon or from Manning. This time, we're also releasing the whole thing as a 100% free website. I don't care if it reduces book…
Mrugank Dake retweeted
This video is literally 50 entrepreneurs giving you an MBA in 18 minutes:
Sunday procrastination: Complete the piled up to-dos or find ways to compute bifurcation diagrams efficiently and admire the beauty of logistic equation?
Mrugank Dake retweeted
Interested in research in my lab? intake.gureckislab.org/interest/
These 99 'lab hacks' will make your scientific work easier nature.com/articles/d4158…
Mrugank Dake retweeted
The road less traveled (with a big bag of tools from central station) has taken Ann @Antihebbiann to fertile subcortical fields. braininspired.co/podcast/221/
Mrugank Dake retweeted
We can't wait to hear from Dr. Vishnu Sreekumar in 2 weeks in our monthly online seminar series on traveling waves of neural oscillations. @vishnusreekr Join us on October 7th at 10:30am ET! Please note the change in time.
Mrugank Dake retweeted
This may be of interest to the Neuromatch community: 2026 internships at Reality Labs (NYC, Burlingame CA, Paris) ✅ 3–6 mo, paid + housing Comp Modeling: metacareers.com/jobs/132815523… Neuromotor Interfaces: metacareers.com/jobs/707239349… AI-Driven Interfaces: metacareers.com/jobs/148315364…
Mrugank Dake retweeted
This paper may solve a core neuroscience question of the last decades: What is the cortical code? Cognitive cortex also uses tuning, and latent variable span a non-linear manifold. Unlocking this work requires understanding why PSTHs are bad. Here is my toy model and notes:
Mrugank Dake retweeted
Life in academia according to autobiographies of Nobel laureates
Mrugank Dake retweeted
Neuroscience questions keeping you up at night? Now's the time to get them resolved! Send your queries our way & we'll work to get your question answered!🧠❓ vist.ly/46k8c
Mrugank Dake retweeted
A digital twin is a dynamic virtual representation of a physical system—one that evolves in real time alongside its real-world counterpart. In health care, the digital twin of a person might predict how their body would respond to a new drug or therapy. In aerospace engineering,…
Mrugank Dake retweeted
Biology is full of small components (a cell, an ant, a bird) that, given simple rules, form complex systems (an organism, a colony, a flock). Inspired by nature, “complexity engineering” seeks to design building blocks that can self-assemble into any form. quantamagazine.org/self-assembly-…
Mrugank Dake retweeted
Review: A neural manifold view of the brain nature.com/articles/s4159…
Mrugank Dake retweeted
The latest discovery joins a list of the greatest hits of the LIGO detector, which ten years ago became the first to detect gravitational waves. go.nature.com/3IgjK1y
Mrugank Dake retweeted
Asgard archaea were first found in mud at the bottom of the North Sea. Today, cellular biologists Martin Pilhofer and Christa Schleper are exploring one of their more elusive structural elements: a totally tubular system that looks a lot like our own. quantamagazine.org/tiny-tubes-rev…
Mrugank Dake retweeted
** STEPHEN HAWKING WAS RIGHT ** Using a very strong black-hole merger signal, the @LIGO-@ego_virgo-@KAGRA_PR Collaboration has shown the 2nd law of black hole mechanics, Hawking's area law (A_final > A_initial), to hold with high credibility. PRL: go.aps.org/3VarXHA #open
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686 Followers 1K Following postdoc @ harvard | neural networks | cortical topography | learning | vision | language | neurotech
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