human-vision topic
Stylized-ImageNet
Code to create Stylized-ImageNet, a stylized version of standard ImageNet (ICLR 2019 Oral)
texture-vs-shape
Pre-trained models, data, code & materials from the paper "ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness" (ICLR 2019 Oral)
generalisation-humans-DNNs
Data, code & materials from the paper "Generalisation in humans and deep neural networks" (NeurIPS 2018)
object-recognition
Data and materials from the paper "Comparing deep neural networks against humans: object recognition when the signal gets weaker" (arXiv 2017)
eeg_encoding
Use DNNs to build encoding models of EEG visual responses.
frrsa
Python package to conduct feature-reweighted representational similarity analysis.
BERG
Trained encoding models to generate in silico neural responses for arbitrary stimuli.