Over the last three decades I have developed recurrent neural networks - reservoir computing - that display highly pertinent similarities to human cortical networks. We have recently exploited these properties in a series of investigations of human narrative processing
Chang, C. H., Nastase, S. A., Hasson, U., & Dominey, P. F. (2025). Emergence of a temporal processing gradient from naturalistic inputs and network connectivity. Proceedings of the National Academy of Sciences, 122(28), e2420105122.
Triebkorn, P., Jirsa, V., & Dominey, P. F. (2025). Simulating the impact of white matter connectivity on processing time scales using brain network models. Communications Biology, 8(1), 197.
Dominey, P. F., Ellmore, T. M., & Ventre-Dominey, J. (2022, July). Effects of connectivity on narrative temporal processing in structured reservoir computing. In 2022 International Joint Conference on Neural Networks (IJCNN) (pp. 1-8). IEEE.
Dominey, P. F. (2021). Narrative event segmentation in the cortical reservoir. PLOS Computational Biology, 17(10), e1008993.