42 citations · 108 across the 6 of their papers we have counts for
6 papers
What biology can, and cannot, tell us about conscious AI
Ulysse Klatzmann, Adrien Doerig
Progress in AI is turning machine consciousness from a philosophical curiosity into a societal issue, and has led to criticism of the widespread computational functionalism framewo…
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…
Characterising representation dynamics in recurrent neural networks for object recognition
Sushrut Thorat, Adrien Doerig, Tim C. Kietzmann
Recurrent neural networks (RNNs) have yielded promising results for both recognizing objects in challenging conditions and modeling aspects of primate vision. However, the represen…
The neuroconnectionist research programme
Adrien Doerig, Rowan Sommers, Katja Seeliger +8
Artificial Neural Networks (ANNs) inspired by biology are beginning to be widely used to model behavioral and neural data, an approach we call neuroconnectionism. ANNs have been la…
Visual representations in the human brain are aligned with large language models
Adrien Doerig, Tim C Kietzmann, Emily Allen +4
The human brain extracts complex information from visual inputs, including objects, their spatial and semantic interrelations, and their interactions with the environment. However,…
Crowding Reveals Fundamental Differences in Local vs. Global Processing in Humans and Machines
Adrien Doerig, Alban Bornet, Oh-Hyeon Choung +1
Feedforward Convolutional Neural Networks (ffCNNs) have become state-of-the-art models both in computer vision and neuroscience. However, human-like performance of ffCNNs does not…