Ning Leow (@whatnowning) 's Twitter Profile
Ning Leow

@whatnowning

Neuroscientist / Post-Doctoral Fellow @ IMCB, A*STAR / Formerly @MITBrainandCog & @uclnpp / recovering revenge bedtime procrastinator

ID: 3233537148

linkhttps://www.ningleow.com/ calendar_today02-06-2015 14:28:37

6,6K Tweet

1,1K Followers

967 Following

Junior Rojas (@junior_rojas_d) 's Twitter Profile Photo

I've been experimenting with attention mechanisms to design locomotion controllers that adapt to different shapes, this is the same controller running on two different bodies github.com/juniorrojas/mo… paper coming soon 👀

Prof. Nikolai Slavov (@slavov_n) 's Twitter Profile Photo

Aging has a major impact on protein ubiquitylation. This is mediated in part through reduced proteasome activity and can be modulated by diet.

Aging has a major impact on protein ubiquitylation.

This is mediated in part through reduced proteasome activity and can be modulated by diet.
Michael Okun (@michaelokun) 's Twitter Profile Photo

How does the brain stop a thought in its tracks? Ever get stuck on a thought you just can't shake? Whether it's an unwanted memory, an intrusive worry or a pathological mental loop, a new paper in Nature Reviews Neuroscience by Michael Anderson and colleagues shines light on how

How does the brain stop a thought in its tracks? Ever get stuck on a thought you just can't shake? Whether it's an unwanted memory, an intrusive worry or a pathological mental loop, a new paper in Nature Reviews Neuroscience by Michael Anderson and colleagues shines light on how
Experimental Philosophy (@xphilosopher) 's Twitter Profile Photo

Yale Philosophy offers a course on “Formal Philosophical Methods” — a broad introduction to probability, logic, formal semantics, etc. Instructor Calum McNamara has now made all materials for the course (78 pages) freely available static1.squarespace.com/static/6255ffe…

Yale Philosophy offers a course on “Formal Philosophical Methods” — a broad introduction to probability, logic, formal semantics, etc.

Instructor Calum McNamara has now made all materials for the course (78 pages) freely available

static1.squarespace.com/static/6255ffe…
João Pedro de Magalhães (@jpsenescence) 's Twitter Profile Photo

🚨New paper on theories of ageing I discuss the major mechanistic theories of ageing in light of recent findings as well as the fundamental nature of the ageing process. Theoretical work is more important than ever in biology, including in ageing. nature.com/articles/s4155…

MIT Picower Institute (@mit_picower) 's Twitter Profile Photo

👀A first-of-its-kind study in mice reveals that neurons add and shed synapses at a frenzied pace during development to integrate visual signals from the two eyes. picower.mit.edu/news/connect-o… #neuroscience #vision #research MIT Brain and Cognitive Sciences MIT Science

ᒍOᕼᗩᑎ ᗪᑌᑕᕼEᑎE (@duchenejohan) 's Twitter Profile Photo

A comparison of mouse vs human tumor microenvironments shows a major difference. Mouse TMEs have more macrophages, while human TMEs have more T cells. Chemokine expression patterns are also different. Learn more: biorxiv.org/content/10.110…

A comparison of mouse vs human tumor microenvironments shows a major difference.

Mouse TMEs have more macrophages, while human TMEs have more T cells.

Chemokine expression patterns are also different.

Learn more: biorxiv.org/content/10.110…
Hamilton Oh (@hammy_oh) 's Twitter Profile Photo

I'm thrilled to share our new study out in Nature Medicine! We show that a blood test can estimate how aged or youthful one’s organs are and that these organ ages predict future disease and lifespan. Final paper from my PhD in the Tony Wyss-Coray lab. 🧵1/12 🔗 nature.com/articles/s4159…

Ali Max Erturk (@erturklab) 's Twitter Profile Photo

We have developed DELIVR, a user-friendly deep-learning pipeline for automatically detecting and analyzing cells from whole-brain images to map neuronal activity via cFOS. DELIVR uses virtual reality to substantially accelerate the generation of training data and is accessible to

Earl K. Miller (@millerlabmit) 's Twitter Profile Photo

Astrocytes are 20-40% of brain cells. They spread electrical influences but don't spike. Targeted Neuronal Stimulation Modulates Working Memory via Astrocytic Interactions: Insights from a Spiking Neuron-Astrocyte Model researchsquare.com/article/rs-706… #neuroscience

MIT Picower Institute (@mit_picower) 's Twitter Profile Photo

🧠 New research finding: Astrocytes ensure neural information processing by maintaining ambient levels of the neurotransmitter chemical GABA picower.mit.edu/news/study-fin… #neuroscience #brain MIT Brain and Cognitive Sciences MIT Science

Jacob Andreas (@jacobandreas) 's Twitter Profile Photo

👉 New preprint! Today, many the biggest challenges in LM post-training aren't just about correctness, but rather consistency & coherence across interactions. This paper tackles some of these issues by optimizing reasoning LMs for calibration rather than accuracy...

Shun Li (@shunnnli) 's Twitter Profile Photo

Can synapses in the brain switch their signs between excitatory and inhibitory during learning🚦? Can they act more like weights in artificial neural networks, able to switch signs based on experience 🔃? Excited to share my thesis work in Bernardo Sabatini lab! 🧵 ⬇️ (1/13)

Can synapses in the brain switch their signs between excitatory and inhibitory during learning🚦? 

Can they act more like weights in artificial neural networks, able to switch signs based on experience 🔃?

Excited to share my thesis work in <a href="/blsabatini/">Bernardo Sabatini</a> lab! 

🧵 ⬇️ (1/13)
Mark Humphries (@markdhumphries) 's Twitter Profile Photo

Abstract submission open for The Mechanistic Basis of Foraging 2025 (U. Birmingham, 3-5 November) uobevents.eventsair.com/the-mechanisti… Deadline: August 17 A meeting for all fascinated by the brain's role in foraging Pls share!

James Zou (@james_y_zou) 's Twitter Profile Photo

⚡️Thrilled that #VirtualLab is published in nature! nature.com/articles/s4158… We created a team of AI agents to mirror my Stanford lab🤖. Led by a PI agent, the AI scientists ran their own group meetings and discovered effective binders to new CoVID variants that we validated.

⚡️Thrilled that #VirtualLab is published in <a href="/Nature/">nature</a>! nature.com/articles/s4158…

We created a team of AI agents to mirror my Stanford lab🤖. Led by a PI agent, the AI scientists ran their own group meetings and discovered effective binders to new CoVID variants that we validated.