2 papers
q-bio.NC2026
Letting the neural code speak: Automated characterization of monkey visual neurons through human language
Vedang Lad, Katrin Franke, Tamar Rott Shaham +4
Understanding what individual neurons encode is a core question in neuroscience. In primary visual cortex (V1), mathematical models (e.g., Gabor functions) capture neural selectivi…
cs.LG2026
Causal Interpretation of Neural Network Computations with Contribution Decomposition
Joshua Brendan Melander, Zaki Alaoui, Shenghua Liu +2
Understanding how neural networks transform inputs into outputs is crucial for interpreting and manipulating their behavior. Most existing approaches analyze internal representatio…