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Kayson Fakhar
Kayson Fakhar
Institute of Computational Neuroscience, University-Medical centre Eppendorf
Verified email at uke.de - Homepage
Title
Cited by
Cited by
Year
Systematic perturbation of an artificial neural network: A step towards quantifying causal contributions in the brain
K Fakhar, CC Hilgetag
PLOS Computational Biology 18 (6), e1010250, 2022
72022
Causal influences decouple from their underlying network structure in echo state networks
K Fakhar, F Hadaeghi, CC Hilgetag
2022 International Joint Conference on Neural Networks (IJCNN), 1-8, 2022
32022
‘One region to control them all'-the surprising effectiveness of network control theory in predicting post-stroke recovery from aphasia
M Popova, K Fakhar, W Braun
Frontiers in Computational Neuroscience 16, 943396, 2022
12022
Attention-Driven Modulation of Auditory Cortex Activity during Selective Listening in a Multispeaker Setting
S Puschmann, M Regev, K Fakhar, RJ Zatorre, CM Thiel
Journal of Neuroscience 44 (15), 2024
2024
Downstream network transformations dissociate neural activity from causal functional contributions
K Fakhar, S Dixit, F Hadaeghi, KP Kording, CC Hilgetag
Scientific Reports 14 (1), 2103, 2024
2024
Simulation of neuroplasticity in a CNN-based in-silico model of neurodegeneration of the visual system
JA Moore, M Wilms, A Gutierrez, Z Ismail, K Fakhar, F Hadaeghi, ...
Frontiers in Computational Neuroscience 17, 2023
2023
MSA: A compact Python package for Multiperturbation Shapley value Analysis.
K Fakhar, S Dixit
https://doi.org/10.5281/zenodo.5636435, 2021
2021
Neuronal Causes and Behavioural Effects: a Review on Logical, Methodological, and Technical Issues With Respect to Causal Explanations of Behaviour in Neuroscience
K Fakhar, D Gonschorek, L Schmors, N Bielczyk
PsyArXiv, 2019
2019
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Articles 1–8