Yile Wang

PhD candidate in Neuroscience at UT Dallas
Author of LLM-for-Zotero
Research interests in Representational Drift and Continual Learning

[Yile Wang @yilewangwayne]

codex is down right? my weekly limit goes from 92% from 0 in 1 sec.

[Yile Wang @yilewangwayne]

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

[Yile Wang @yilewangwayne]

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

[Yile Wang @yilewangwayne]

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

[Yile Wang @yilewangwayne]

@mattngaw thank you!

[Zitong Lu 路子童 @ZitongLu]

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

[Yile Wang @yilewangwayne]

@Boke89707488 Thank you!!!

[Yile Wang @yilewangwayne]

🚀 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.

[Yile Wang @yilewangwayne]

@zotero Try it out here: https://t.co/1rN0aZ5RAZ

Let me know what you think! #PhD #Zotero #OpenSource #AI

[Yile Wang @yilewangwayne]

@zotero I built this for privacy and flexibility. You plug in your own API key (OpenAI, Deepseek, or even local models). It is very easy to set up.

[Yile Wang @yilewangwayne]

@EthanLipnik Looking forward to it!!!

[Steven scholte @hsteven9]

🧠 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

[GFY TV @Viralvid_89]

@HumansNoContext Their case is truly remarkable 😲😲

[Zitong Lu 路子童 @ZitongLu]

Wow So excited to see this Language version of 'ReAlnet'!

[Jason Kim @jason_z_kim]

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!

[Guo Jiahui @Guo_Jiahui_]

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

[Michael Breakspear @DrBreaky]

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

[Yile Wang @yilewangwayne]

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