Spatially-embedded recurrent neural networks reveal widespread links between structural and functional neuroscience findings
Jascha Achterberg, Danyal Akarca, Daniel Strouse, John Duncan, Duncan Edward Astle
This paper introduces seRNNs, a spatially-embedded recurrent neural network model that reveals structural and functional brain motifs linked to biological optimization.
Nature Machine Intelligence · Nov 20, 2023Peer-reviewedNeuroscience