Does language help generalization in vision models? - Benjamin Devillers; Bhavin Choksi; Romain Bielawski; Rufin VanRullen (CoNLL, 2021)

Predify: Augmenting deep neural networks with brain-inspired predictive coding dynamics. - Bhavin Choksi; Milad Mozafari; Callum Biggs O'May; Benjamin Ador; Andrea Alamia; Rufin VanRullen (NeurIPS, 2021)

On the role of feedback in visual processing: a predictive coding perspective. - Andrea Alamia; Milad Mozafari; Bhavin Choksi; Rufin VanRullen (CoRR, 2021)

Predictive coding feedback results in perceived illusory contours in a recurrent neural network. - Zhaoyang Pang; Callum Biggs O'May; Bhavin Choksi; Rufin VanRullen (Neural Networks, 2021)

Reconstruction of Perceived Images from fMRI Patterns and Semantic Brain Exploration using Instance-Conditioned GANs. - Furkan Ozcelik; Bhavin Choksi; Milad Mozafari; Leila Reddy; Rufin VanRullen (IJCNN, 2022)

Multimodal neural networks better explain multivoxel patterns in the hippocampus. - Bhavin Choksi; Milad Mozafari; Rufin VanRullen; Leila Reddy (Neural Networks, 2022)

On the role of feedback in image recognition under noise and adversarial attacks: A predictive coding perspective. - Andrea Alamia; Milad Mozafari; Bhavin Choksi; Rufin VanRullen (Neural Networks, 2023)

Limited but Consistent Gains in Adversarial Robustness by Co-training Object Recognition Models with Human EEG. - Manshan Guo; Bhavin Choksi; Sari Sadiya; Alessandro T. Gifford; Martina G. Vilas; Radoslaw Martin Cichy; Gemma Roig (ECCV Workshops (14), 2024)

Limited but consistent gains in adversarial robustness by co-training object recognition models with human EEG. - Manshan Guo; Bhavin Choksi; Sari Saba-Sadiya; Alessandro T. Gifford; Martina G. Vilas; Radoslaw Martin Cichy; Gemma Roig (CoRR, 2024)

The Representational Alignment between Humans and Language Models is implicitly driven by a Concreteness Effect. - Cosimo Iaia; Bhavin Choksi; Emily Wiebers; Gemma Roig; Christian J. Fiebach (CoRR, 2025)