🔵 Texture path → high alignment, low object info (upper-left quadrant)
🔴/🟢 Natural & object-only paths → more object info but no extra alignment.
This explains why better object recognition ≠ better brain prediction.
🔵 Texture path → high alignment, low object info (upper-left quadrant)
🔴/🟢 Natural & object-only paths → more object info but no extra alignment.
This explains why better object recognition ≠ better brain prediction.
Local image statistics = the common representational currency between artificial and biological vision.
Local image statistics = the common representational currency between artificial and biological vision.
🔴Natural scenes
🔵Texture-synthesized (global summaries of local stats only; no recognizable objects)
🟢Object-only (objects without backgrounds). Counterintuitive result: strongest DNN–brain alignment for texture-only images!
🔴Natural scenes
🔵Texture-synthesized (global summaries of local stats only; no recognizable objects)
🟢Object-only (objects without backgrounds). Counterintuitive result: strongest DNN–brain alignment for texture-only images!
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 doi.org/10.1101/2025...
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 doi.org/10.1101/2025...
Can't wait to meet everyone and dive into the exciting program ahead. See you there!
Can't wait to meet everyone and dive into the exciting program ahead. See you there!
📑 PAPER ALERT: "Beyond binding: from modular to natural vision" in Trends in Cognitive Sciences (2025) sciencedirect.com/science/arti...
📑 PAPER ALERT: "Beyond binding: from modular to natural vision" in Trends in Cognitive Sciences (2025) sciencedirect.com/science/arti...