Victoria Zhang
@victoriazhanqi.bsky.social
PhD student @ucsd_cse @WashUAlumni
Interested in all things ML and Neuro.
Interested in all things ML and Neuro.
— 📣 Open to Research Scientist or Applied Scientist roles (start: 2026) in AI / ML / Neuro. Let's connect → www.linkedin.com/in/zhanqi-zh...
May 7, 2025 at 8:10 PM
— 📣 Open to Research Scientist or Applied Scientist roles (start: 2026) in AI / ML / Neuro. Let's connect → www.linkedin.com/in/zhanqi-zh...
🤖 This contrasts with most SOTA vision models, which rely on semantic categories, while the brain favors ethological relevance.
💡 We hope this inspires new paths for brain-aligned AI.
💡 We hope this inspires new paths for brain-aligned AI.
May 7, 2025 at 8:10 PM
🤖 This contrasts with most SOTA vision models, which rely on semantic categories, while the brain favors ethological relevance.
💡 We hope this inspires new paths for brain-aligned AI.
💡 We hope this inspires new paths for brain-aligned AI.
🐒 We introduced neuronal attribution mapping to multiple visual areas — letting neurons “paint” the most activating regions within natural scenes
🧠 From V1 to PIT, the primate brain increasingly highlighted animal features over objects, natural behavior, so no labels, rewards, or complex tasks.
🧠 From V1 to PIT, the primate brain increasingly highlighted animal features over objects, natural behavior, so no labels, rewards, or complex tasks.
May 7, 2025 at 8:10 PM
🐒 We introduced neuronal attribution mapping to multiple visual areas — letting neurons “paint” the most activating regions within natural scenes
🧠 From V1 to PIT, the primate brain increasingly highlighted animal features over objects, natural behavior, so no labels, rewards, or complex tasks.
🧠 From V1 to PIT, the primate brain increasingly highlighted animal features over objects, natural behavior, so no labels, rewards, or complex tasks.