activity
20152023
most citedThe Algonauts Project 2023 Challenge: How the Human Brain Makes Sense of Natural Scenes

22 citations · 41 across the 7 of their papers we have counts for

collaborators

9 papers

q-bio.NC2023★ 4 cited

End-to-end topographic networks as models of cortical map formation and human visual behaviour: moving beyond convolutions

Zejin Lu, Adrien Doerig, Victoria Bosch +4

Computational models are an essential tool for understanding the origin and functions of the topographic organisation of the primate visual system. Yet, vision is most commonly mod…

cs.CV2023★ 22 cited

The Algonauts Project 2023 Challenge: How the Human Brain Makes Sense of Natural Scenes

A. T. Gifford, B. Lahner, S. Saba-Sadiya +6

The sciences of biological and artificial intelligence are ever more intertwined. Neural computational principles inspire new intelligent machines, which are in turn used to advanc…

cs.CV2022★ 2 cited

Net2Brain: A Toolbox to compare artificial vision models with human brain responses

Domenic Bersch, Kshitij Dwivedi, Martina Vilas +2

We introduce Net2Brain, a graphical and command-line user interface toolbox for comparing the representational spaces of artificial deep neural networks (DNNs) and human brain reco…

cs.CV2021★ 12 cited

The Algonauts Project 2021 Challenge: How the Human Brain Makes Sense of a World in Motion

R. M. Cichy, K. Dwivedi, B. Lahner +8

The sciences of natural and artificial intelligence are fundamentally connected. Brain-inspired human-engineered AI are now the standard for predicting human brain responses during…

cs.CV2020

Duality Diagram Similarity: a generic framework for initialization selection in task transfer learning

Kshitij Dwivedi, Jiahui Huang, Radoslaw Martin Cichy +1

In this paper, we tackle an open research question in transfer learning, which is selecting a model initialization to achieve high performance on a new task, given several pre-trai…

cs.CV2019★ 1 cited

The Algonauts Project: A Platform for Communication between the Sciences of Biological and Artificial Intelligence

Radoslaw Martin Cichy, Gemma Roig, Alex Andonian +6

In the last decade, artificial intelligence (AI) models inspired by the brain have made unprecedented progress in performing real-world perceptual tasks like object classification…