171 citations · 246 across the 15 of their papers we have counts for
5 papers · 1 filter
Enhancing deep neural networks through complex-valued representations and Kuramoto synchronization dynamics
Sabine Muzellec, Andrea Alamia, Thomas Serre +1
Neural synchrony is hypothesized to play a crucial role in how the brain organizes visual scenes into structured representations, enabling the robust encoding of multiple objects w…
Latent Representation Matters: Human-like Sketches in One-shot Drawing Tasks
Victor Boutin, Rishav Mukherji, Aditya Agrawal +4
Humans can effortlessly draw new categories from a single exemplar, a feat that has long posed a challenge for generative models. However, this gap has started to close with recent…
GAttANet: Global attention agreement for convolutional neural networks
Rufin VanRullen, Andrea Alamia
Transformer attention architectures, similar to those developed for natural language processing, have recently proved efficient also in vision, either in conjunction with or as a r…
Predictive coding feedback results in perceived illusory contours in a recurrent neural network
Zhaoyang Pang, Callum Biggs O'May, Bhavin Choksi +1
Modern feedforward convolutional neural networks (CNNs) can now solve some computer vision tasks at super-human levels. However, these networks only roughly mimic human visual perc…
Reconstructing Natural Scenes from fMRI Patterns using BigBiGAN
Milad Mozafari, Leila Reddy, Rufin VanRullen
Decoding and reconstructing images from brain imaging data is a research area of high interest. Recent progress in deep generative neural networks has introduced new opportunities…