NeurosciencebioRxivPreprint
Neural representational geometry of a joint code for stimulus category and category-independent features
Lorenzo Tiberi, Haim Sompolinsky
The paper investigates how neural representations can jointly encode stimulus categories and category-independent features, showing that regression-relevant geometry can be optimized without compromising classification geometry.
DOI 10.64898/2026.03.23.713692