k. seeliger

💫 Introducing NeuralSet: a simple, fast, scalable Python package for Neuro-AI 📦 pip install neuralset 📄 kingjr.github.io/files/neuralse… 🔍 facebookresearch.github.io/neuroai/neural… Supports 🧠 fMRI, EEG, MEG, ECoG, spike… preprocessing 💬 text 🔊 audio ▶️ video 🏞️ image… embeddings 🧵 Details👇

Datasets for Reconstructing Visual Perception from Brain Data github.com/seelikat/neuro…

neuroAI comparisons of ANNs to brains do have a range of problems. Even more than I had realized. And I was worried before: biorxiv.org/content/10.110…

Una implantación quirúrgica en la corteza visual permitió a un hombre ciego percibir la luz, movimientos y hasta letras grandes. La estimulación eléctrica del cerebro está abriendo un sinfín de posibilidades para la comunicación entre cabeza y cuerpo elpais.com/ciencia/2026-0…

🔝Un implante en el cerebro permite recuperar la visión a un hombre ciego por una lesión en el nervio óptico Científicos de la Universidad Miguel Hernández de Elche estimularon la corteza visual de Miguel Terol (que perdió la vista de forma repentina en el ojo derecho en 2018) hasta que logró percibir la luz, movimientos y hasta letras grandes Vía @el_pais elpais.com/ciencia/2026-0… @UniversidadMH @IB_UMH @braincomms @GVAhOrihuela @NeuroEngin_UMH @mbiotingUMH #ceguera

🚨 New publication! Our article “The unexpected sight: improvement of visual function following intracortical microstimulation of the human occipital cortex” has just been published in @braincomms . Read here👉academic.oup.com/braincomms/art…

A Quantitative Benchmark of Visual Information in Human Brain Recordings Across fMRI, MEG, and EEG biorxiv.org/content/10.648… by @NishimotoShinji lab

"AI4X Roadmap: Artificial Intelligence for the advancement of scientific pursuit and its future directions" (by many authors): arxiv.org/abs/2511.20976

We're also publishing FrontierScience, a benchmark measuring expert-level scientific reasoning across physics, chemistry, and biology. We think AI-accelerated science is one of the most exciting promises of AGI, and are excited to build towards clear targets.

Advancing credibility and transparency in brain-to-image reconstruction research: Reanalysis of Koide-Majima, Nishimoto, and Majima (Neural Networks, 2024). arxiv.org/abs/2511.07960

Encoding models predict visual responses to novel images in cortical areas. But can these models offer new insights about categorical representations? If so, we should be able to generate new hypotheses from them to be tested in future experiments. @NeurIPSConf #NeurIPS2025 1/15

Algonauts 2025 challenge recording: youtube.com/watch?v=VUPYrC…

@lynnle_ai ...some of which was covered by The Register: theregister.com/2021/02/12/ai_…

Congratulations to Dr. Lynn Le @lynnle_ai on a stellar PhD defense yesterday! youtube.com/watch?v=G-6J3c…

@rqobela Ada, Scheme, and BASIC (VTECH's 🙃).

Programming language you learnd but never used again is...?

New preprint from our lab led by Onoo-san. We propose readout representation, defining neural codes by what can be recovered, not what caused them. Inputs remain recoverable from distant features, revealing expansive, redundant codes that align neural activation with meaning.

Apparently Lego has donated over 10,000 of these MRI playsets to hospitals to help reduce anxiety in children getting MRIs

For a long time, some have daydreamed about whether neural networks can learn to effectively synthesize stimulation patterns to write information into the brain. For the first time, we have demonstrated that 𝐝𝐚𝐭𝐚-𝐝𝐫𝐢𝐯𝐞𝐧 𝐧𝐞𝐮𝐫𝐚𝐥 𝐜𝐨𝐧𝐭𝐫𝐨𝐥 𝐯𝐢𝐚 𝐚 𝐯𝐢𝐬𝐮𝐚𝐥 𝐜𝐨𝐫𝐭𝐢𝐜𝐚𝐥 𝐢𝐦𝐩𝐥𝐚𝐧𝐭 𝐢𝐧 𝐚 𝐛𝐥𝐢𝐧𝐝 𝐡𝐮𝐦𝐚𝐧 is possible. Introducing 𝐃𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠-𝐁𝐚𝐬𝐞𝐝 𝐂𝐨𝐧𝐭𝐫𝐨𝐥 𝐨𝐟 𝐄𝐥𝐞𝐜𝐭𝐫𝐢𝐜𝐚𝐥𝐥𝐲 𝐄𝐯𝐨𝐤𝐞𝐝 𝐀𝐜𝐭𝐢𝐯𝐢𝐭𝐲 𝐢𝐧 𝐇𝐮𝐦𝐚𝐧 𝐕𝐢𝐬𝐮𝐚𝐥 𝐂𝐨𝐫𝐭𝐞𝐱 biorxiv.org/content/10.110… An all-stars collaboration between 🌠𝐌𝐢𝐜𝐡𝐚𝐞𝐥 𝐁𝐞𝐲𝐞𝐥𝐞𝐫'𝐬 Bionic Vision Lab @bionicvisionorg at @UCSB (USA) 🌠𝐒𝐡𝐢𝐡-𝐂𝐡𝐢𝐢 𝐋𝐢𝐮'𝐬 lab at The Institute of Neuroinformatics @ETH_en in Switzerland and 🌠𝐄𝐝𝐮𝐚𝐫𝐝𝐨 𝐅𝐞𝐫𝐧𝐚́𝐧𝐝𝐞𝐳'𝐬 Biomedical Neuroengineering lab @nBioUMH at @IB_UMH in Spain. This dream project was spearheaded by 𝐏𝐞𝐡𝐮𝐞́𝐧 𝐌𝐨𝐮𝐫𝐞, 𝐉𝐚𝐜𝐨𝐛 𝐆𝐫𝐚𝐧𝐥𝐞𝐲 @jacob_granley and 𝐅𝐚𝐛𝐫𝐢𝐳𝐢𝐨 𝐆𝐫𝐚𝐧𝐢 @GraniFabrizio, and I’m thrilled to be part of this monumental effort! 1/

Our article is out in Annual Review of Vision Science: “Visual Image Reconstruction from Brain Activity via Latent Representation” We trace the path from early brain decoding to modern NeuroAI, highlight progress & pitfalls, and discuss future directions annualreviews.org/content/journa…