37 citations · 89 across the 5 of their papers we have counts for
5 papers
Benchmarking Out-of-Distribution Generalization Capabilities of DNN-based Encoding Models for the Ventral Visual Cortex
Spandan Madan, Will Xiao, Mingran Cao +3
We characterized the generalization capabilities of DNN-based encoding models when predicting neuronal responses from the visual cortex. We collected \textit{MacaqueITBench}, a lar…
Look Twice: A Generalist Computational Model Predicts Return Fixations across Tasks and Species
Mengmi Zhang, Marcelo Armendariz, Will Xiao +5
Primates constantly explore their surroundings via saccadic eye movements that bring different parts of an image into high resolution. In addition to exploring new regions in the v…
Fooling the primate brain with minimal, targeted image manipulation
Li Yuan, Will Xiao, Giorgia Dellaferrera +4
Artificial neural networks (ANNs) are considered the current best models of biological vision. ANNs are the best predictors of neural activity in the ventral stream; moreover, rece…
Gradient-free activation maximization for identifying effective stimuli
Will Xiao, Gabriel Kreiman
A fundamental question for understanding brain function is what types of stimuli drive neurons to fire. In visual neuroscience, this question has also been posted as characterizing…
Biologically-plausible learning algorithms can scale to large datasets
Will Xiao, Honglin Chen, Qianli Liao +1
The backpropagation (BP) algorithm is often thought to be biologically implausible in the brain. One of the main reasons is that BP requires symmetric weight matrices in the feedfo…