Kei Majima

ATR Computational Neuroscience Laboratories, Stoke-on-Trent, England, United Kingdom 
"Kei Majima"
Mean distance: 16.29 (cluster 23)
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Koide-Majima N, Nishimoto S, Majima K. (2023) Mental image reconstruction from human brain activity: Neural decoding of mental imagery via deep neural network-based Bayesian estimation. Neural Networks : the Official Journal of the International Neural Network Society. 170: 349-363
Cheng FL, Horikawa T, Majima K, et al. (2023) Reconstructing visual illusory experiences from human brain activity. Science Advances. 9: eadj3906
Ho JK, Horikawa T, Majima K, et al. (2023) Inter-individual deep image reconstruction via hierarchical neural code conversion. Neuroimage. 271: 120007
Tanigawa H, Majima K, Takei R, et al. (2022) Decoding distributed oscillatory signals driven by memory and perception in the prefrontal cortex. Cell Reports. 39: 110676
Nonaka S, Majima K, Aoki SC, et al. (2021) Brain hierarchy score: Which deep neural networks are hierarchically brain-like? Iscience. 24: 103013
Shen G, Dwivedi K, Majima K, et al. (2019) End-to-End Deep Image Reconstruction From Human Brain Activity. Frontiers in Computational Neuroscience. 13: 21
Shen G, Horikawa T, Majima K, et al. (2019) Deep image reconstruction from human brain activity. Plos Computational Biology. 15: e1006633
Satake E, Majima K, Aoki SC, et al. (2018) Sparse Ordinal Logistic Regression and Its Application to Brain Decoding. Frontiers in Neuroinformatics. 12: 51
Miyakawa N, Majima K, Sawahata H, et al. (2018) Heterogeneous Redistribution of Facial Subcategory Information Within and Outside the Face-Selective Domain in Primate Inferior Temporal Cortex. Cerebral Cortex (New York, N.Y. : 1991)
Majima K, Sukhanov P, Horikawa T, et al. (2017) Position Information Encoded by Population Activity in Hierarchical Visual Areas. Eneuro. 4
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