Reconstructing computational system dynamics from neural data with recurrent neural networks

• Published in: Nature reviews. Neuroscience Vol. 24; no. 11; pp. 693 - 710
• Main Authors: Durstewitz, Daniel, Koppe, Georgia, Thurm, Max Ingo
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 01.11.2023; Nature Publishing Group
• Subjects: 631/378/116/2393; 631/378/116/2396; Animal Genetics and Genomics; Animals; Artificial Intelligence; Behavioral Sciences; Biological Techniques; Biomedical and Life Sciences; Biomedicine; Computational neuroscience; Dynamical systems; Humans; Learning algorithms; Machine learning; Mathematical models; Nervous system; Neural networks; Neural Networks, Computer; Neurobiology; Neurosciences; Perspective; System theory

Computational models in neuroscience usually take the form of systems of differential equations. The behaviour of such systems is the subject of dynamical systems theory. Dynamical systems theory provides a powerful mathematical toolbox for analysing neurobiological processes and has been a mainstay...