%0 Journal Article %1 Achterberg_2023 %A Achterberg, Jascha %A Akarca, Danyal %A Strouse, D. J. %A Duncan, John %A Astle, Duncan E. %D 2023 %I Springer Science and Business Media LLC %J Nature Machine Intelligence %K 2023 deep-learning nature neuroscience rnn %R 10.1038/s42256-023-00748-9 %T Spatially embedded recurrent neural networks reveal widespread links between structural and functional neuroscience findings %U http://dx.doi.org/10.1038/s42256-023-00748-9

@article{Achterberg_2023, added-at = {2023-11-26T11:24:28.000+0100}, author = {Achterberg, Jascha and Akarca, Danyal and Strouse, D. J. and Duncan, John and Astle, Duncan E.}, biburl = {https://www.bibsonomy.org/bibtex/22ca7ffff7fe50fa932ac4c1bce4ccc1c/analyst}, doi = {10.1038/s42256-023-00748-9}, interhash = {f61056945d37f4472e9c65f08c901c99}, intrahash = {2ca7ffff7fe50fa932ac4c1bce4ccc1c}, issn = {2522-5839}, journal = {Nature Machine Intelligence}, keywords = {2023 deep-learning nature neuroscience rnn}, month = nov, publisher = {Springer Science and Business Media LLC}, timestamp = {2023-11-26T11:24:28.000+0100}, title = {Spatially embedded recurrent neural networks reveal widespread links between structural and functional neuroscience findings}, url = {http://dx.doi.org/10.1038/s42256-023-00748-9}, year = 2023 }