2 papers
cs.CV2026
Mechanistically Interpretable Neural Encoding Reveals Fine-Grained Functional Selectivity in Human Visual Cortex
Idan Daniel Grosbard, Mor Geva, Galit Yovel
A central goal in understanding human vision is to uncover the visual features that drive neuronal activity. A growing body of work has used artificial neural networks as encoding…
cs.CL2025
Mamba Knockout for Unraveling Factual Information Flow
Nir Endy, Idan Daniel Grosbard, Yuval Ran-Milo +3
This paper investigates the flow of factual information in Mamba State-Space Model (SSM)-based language models. We rely on theoretical and empirical connections to Transformer-base…