Causal Influences Decouple From Their Underlying Network Structure In Echo State Networks. - Kayson Fakhar; Fatemeh Hadaeghi; Claus C. Hilgetag (IJCNN, 2022)

'One region to control them all'- the surprising effectiveness of network control theory in predicting post-stroke recovery from aphasia. - Mariia Popova; Kayson Fakhar; Wilhelm Braun (Frontiers Comput. Neurosci., 2022)

Systematic perturbation of an artificial neural network: A step towards quantifying causal contributions in the brain. - Kayson Fakhar; Claus C. Hilgetag (PLoS Comput. Biol., 2022)

Simulation of neuroplasticity in a CNN-based in-silico model of neurodegeneration of the visual system. - Jasmine A. Moore; Matthias Wilms; Alejandro Gutierrez; Zahinoor Ismail; Kayson Fakhar; Fatemeh Hadaeghi; Claus C. Hilgetag; Nils D. Forkert (Frontiers Comput. Neurosci., 2023)

A Game-theoretical Framework for Causal Inference: With Applications in Artificial Neural Networks and Large-scale Models of Brain Dynamics. - Kayson Fakhar (2024)

Who Does What in Deep Learning? Multidimensional Game-Theoretic Attribution of Function of Neural Units. - Shrey Dixit; Kayson Fakhar; Fatemeh Hadaeghi; Patrick Mineault; Konrad P. Kording; Claus C. Hilgetag (CoRR, 2025)