How predictable is neuroscience? Can LLMs outperform humans? Please participate in the BrainGPT.org survey to help us find out. You choose between two versions of a neuro abstract: the original vs. one with altered results. Which is which? research.sc/participant/lo… 1/2

Do you think neuroscientists or large language models (LLMs) will perform better on the BrainGPT.org benchmark? (Neuroscientists, please participate in the benchmark. Here's the survey, 11 questions, 15-20 minutes, research.sc/participant/lo… )

The RMS DAIM Section present "Image.sc LIVE! around the world"🌏 🗓️Jan 18 (Europe, Africa, Americas) 🗓️Jan 19 (Asia, Aus, NZ) 📍GatherTown Post your bioimage analysis question on the forum and an expert will answer it live with you! forum.image.sc/t/image-sc-liv…

Not long left to apply for one of our 3 funded PhD positions, please get in touch if you're interested in developing new computational image analysis tools, single molecule imaging technologies and biochemistry and cell biology work to uncover the hidden characteristics of DNA.

Interested in #Biophysics but unsure if you want to do a PhD? Apply to our new #MRes on #Computational Cell Biophysics. Please RT. #interdisciplinary #science #masters UCL UCL IPLS

Join us on the 9th May Science Museum to immerse yourself in a world of cells and corals, our collaboration with Datascape Realities ! #sciart #SciComm #outreach #vr #ar

Any multilingual biophysicists out there?! Want a chance to discuss your science in another language? #BiophysicsWeek is coming up and CID and Biophysical Society are hosting several "Beyond English" breakout rooms on March 20th to network and chat. Sign up: shorturl.at/kI289

"Large language models surpass human experts in predicting neuroscience results" w Xiaoliang (Ken) Luo and BrainGPT.org. LLMs integrate a noisy yet interrelated scientific literature to forecast outcomes. arxiv.org/abs/2403.03230 1/6

Huge thanks to Bradley Love and Xiaoliang (Ken) Luo for leading this incredible study. Our work shows the potential of LLMs to predict neuroscience results, potentially revolutionising the way we approach scientific discovery in neuroscience arxiv.org/abs/2403.03230.

This looks like a nice advance in AFM methodology for living tissues: biorxiv.org/content/10.110…

A week before a conference means I am once again at: github.com/cxli233/Friend… to self-check my graphs and data visualisation. A thousand thanks to Chenxin Li, PhD (@chenxinli2.bsky.social) !!

Excited to be presenting my work using the HD-MEA and human cortical organoids Thursday morning, Poster 293 at #FENS2024. Please stop by, especially if you’re interested in ephys in organoids 🧠

We just dropped this: Long-read transcriptomic identification of synaptic adaptation to amyloid pathology in the App(NL-G-F) knock-in mouse model of the earliest phase of Alzheimer's disease #Alzheimer #Dementia

Here is the montage BBC Sport aired at the end of their Olympics coverage.

I’m launching Topology, an early-stage venture firm dedicated to frontier technology. We've raised an oversubscribed $75M Fund 1. Topology backs founders who put everything on the line to bend the arc of human progress. Meet us at the edge. Topology Ventures

🏆Introducing the Matnex Prize🏆 We’re on the lookout for the best solutions to the most challenging material problems. -First place winners could receive up to $25,000 -Check out more information here: matnex.ai/prize #AI4Science #Matnex #Sustainable #Techforgood

I still can't stop thinking about this biohybrid implant brain-chip interface- they've grown (🐭) neurons on a microwell which remain viable over weeks, exhibit spontaneous activity and integrate with the mouse brain 🧠🤯biorxiv.org/content/10.110…

Have you ever heard of DNA for storing data? I wrote my first ever deepdive on it, as part of Included VC : check it out here and let me know what you think! medium.com/included-vc/dn…