The neuroconnectionist research programme

A Doerig, RP Sommers, K Seeliger… - Nature Reviews …, 2023 - nature.com
Artificial neural networks (ANNs) inspired by biology are beginning to be widely used to
model behavioural and neural data, an approach we call 'neuroconnectionism'. ANNs have …

[HTML][HTML] Using artificial neural networks to ask 'why'questions of minds and brains

N Kanwisher, M Khosla, K Dobs - Trends in Neurosciences, 2023 - cell.com
Neuroscientists have long characterized the properties and functions of the nervous system,
and are increasingly succeeding in answering how brains perform the tasks they do. But the …

Getting aligned on representational alignment

I Sucholutsky, L Muttenthaler, A Weller, A Peng… - ar** high-level visual representation in brains and machines?
C Conwell, JS Prince, KN Kay, GA Alvarez, T Konkle - BioRxiv, 2022 - biorxiv.org
The rapid development and open-source release of highly performant computer vision
models offers new potential for examining how different inductive biases impact …

A large-scale examination of inductive biases sha** high-level visual representation in brains and machines

C Conwell, JS Prince, KN Kay, GA Alvarez… - Nature …, 2024 - nature.com
The rapid release of high-performing computer vision models offers new potential to study
the impact of different inductive biases on the emergent brain alignment of learned …

Reconstruction of perceived images from fmri patterns and semantic brain exploration using instance-conditioned gans

F Ozcelik, B Choksi, M Mozafari… - … joint conference on …, 2022 - ieeexplore.ieee.org
Reconstructing perceived natural images from fMRI signals is one of the most engaging
topics of neural decoding research. Prior studies had success in reconstructing either the …