currently it has already had over 1.4k github stars. I hope this tool can help all scientists to do better research with assistance of AI.
Github repo: https://t.co/pcjrKbdohF
Manual: https://t.co/yA1hHZA8Rs
https://t.co/pcjrKbdohF.
If you use Zotero to manage your scientific library, I would recommend you to try my plugin, which bridges codex/claude code/other LLM models into your personal academic library, to help you manage your library, ask questions about papers/whole library
It also connects directly with your codex app-server or your claude code so you can use your subscription to read scientific papers without extra speding on API
Can we using human EEG data to optimize vision models? Yes!
Our ReAlnet paper is finally out @CommsBio w/@yilewangwayne@juliedgolomb!!
Our alignment framework makes ANNs more brain-like, enhancing model-human similarity across EEG, fMRI, and behavior.
https://t.co/omHluAGkjK
🚀 Excited to release Zotero-LLM: An AI assistant that lives directly inside your Zotero library.
Stop switching tabs to copy-paste text into ChatGPT. Chat with your PDFs, extract summarize findings without ever leaving Zotero.
🧠 New preprint: Why do deep neural networks predict brain responses so well?
We find a striking dissociation: it’s not shared object recognition. Alignment is driven by sensitivity to texture-like local statistics.
📊 Study: n=57, 624k trials, 5 models https://t.co/GSowf8JYUA
Working to understand the physics of how the brain works? Interested in understanding how brain function and collective dynamics emerge from neural interactions? Submit an abstract to our focus session "Statistical and Dynamical Physics of the Brain", APS2025 w/@ChrisWLynn!
I am recruiting PhD students for 2025! ⏰✨📝
My lab @BBSutdallas@UT_Dallas studies human cognitive neuroscience 🧠🧠🧠 in high-level perception and cognition using neuroimaging, naturalistic stimuli, computational methods, and AI models 🤖🤖🤖 in both typical and neuropsychological populations 💻💻💻!
🏷️Lab: https://t.co/pDxNRtQIxr
📔PhD (DDL Dec 1): https://t.co/Jy6nAzzap2
✅Application details: https://t.co/JkWAvjhVKo
The brain is metabolically hungry but most accounts of cognition do not consider the energy cost of neural activity
Here we review the metabolic budget of neural homeostasis + cognition; associated evolutionary constraints; plus disturbances in disease
https://t.co/cCnmzLUSxz
New Preprint Alert! I am grateful to work with @ZitongLu again to propose a new vision model training framework! We used neural data from fMRI recordings to optimize CORnet model, and it effectively makes the model learn human brain representation!
https://t.co/rTGIC1pNdX