Neuroscience
1. H Ma, L Jiang, T Liu, & J Liu (2023) From Sensory to Perceptual Manifolds: The Twist of Neural Geometry. bioRxiv, 2023.10.02.559721, https://doi.org/10.1101/2023.10.02.559721
2. B Zhang, L Ma, & J Liu (2023) Experience replay facilitates the formation of the hexagonal pattern of grid cells. bioRxiv, 2023.02.19.529130. https://doi.org/10.1101/2023.02.19.529130
3. X Liu, X Fei, & J Liu (2023) The Cognitive Critical Brain: Modulation of Criticality in Task-Engaged Regions. bioRxiv, 2023.06.29.547080. https://doi.org/10.1101/2023.06.29.547080
4. T Huang, Y Song, & J Liu (2022) Real-world size of objects serves as an axis of object space. Communications biology 5 (1), 749. https://doi.org/10.1038/s42003-022-03711-3
5. B Zhang & J Liu (2022) Spatial periodicity of hippocampal place cells in navigation. bioRxiv, 2022.01.29.478346. https://doi.org/10.1101/2022.01.29.478346
6. Y Zhang, K Zhou, P Bao, & J Liu (2021) Principles governing the topological organization of object selectivities in ventral temporal cortex. bioRxiv, 2021.09.15.460220. https://doi.org/10.1101/2021.09.15.460220
Cognitive Science
1. X Feng, S Xu, Y Li, & J Liu (2023) Body size as a metric for the affordable world. eLife, https://doi.org/10.1101/2023.03.20.533336
2. S Xu, Y Song, & J Liu (2023) The development of spatial cognition and its malleability assessed in mass population via a mobile game. Psychological science 34 (3), 345-357. https://doi.org/10.1177/09567976221137313
3. T Huang & J Liu (2023) A stochastic world model on gravity for stability inference. eLife. https://doi.org/10.1101/2022.12.30.522364
AI
1. Z Yin, W Ding, & J Liu (2023) Alignment is not sufficient to prevent large language models from generating harmful information: A psychoanalytic perspective. arXiv preprint arXiv:2311.08487, https://arxiv.org/abs/2311.08487
2. X Wang, X Li, Z Yin, Y Wu, & J Liu (2023) Emotional intelligence of large language models. Journal of Pacific Rim Psychology 17, https://doi.org/10.1177/18344909231213958
3. S Xu, Y Zhang, Z Zhen, & J Liu (2021) The face module emerged in a deep convolutional neural network selectiv
ely deprived of face experience. Frontiers in computational neuroscience 15, 626259. https://doi.org/10.3389/fncom.2021.626259
4. J Tian, H Xie, S Hu, & J Liu (2021) Multidimensional face representation in a deep convolutional neural network reveals the mechanism underlying AI racism. Frontiers in computational neuroscience 15, 620281. https://doi.org/10.3389/fncom.2021.620281
5. T Huang, Z Zhen, & J Liu (2021) Semantic relatedness emerges in deep convolutional neural networks designed for object recognition. Frontiers in computational neuroscience 15, 625804
6. Y Song, Y Qu, S Xu, & J Liu (2021) Implementation-independent representation for deep convolutional neural networks and humans in processing faces. Frontiers in computational neuroscience 14, 601314. https://doi.org/10.3389/fncom.2020.601314
7. X Liu, Z Zhen, & J Liu (2020) Hierarchical sparse coding of objects in deep convolutional neural networks. Frontiers in computational neuroscience 14, 578158. https://doi.org/10.3389/fncom.2020.578158