代表性论文
| • Tian, Z., Chen, J., Zhang, C., Min, B.*, Xu, B.,Wang, L.* (2024) Mental programming of spatial sequences in working memory in the macaque frontal cortex. Science. : 10.1126/science.adp6091 |
| • Chen, J., Zhang, C., Hu, P., Min, B.*, Wang, L.* (2024) Flexible control of sequence working memory in macaque frontal cortex. Neuron. : 10.1016/j.neuron.2024.07.024. |
| • Qi, G., Fang, W.*, Li, S., Li, J., Wang, L.* (2022) Neural dynamics of causal inference in the macaque frontoparietal circuit. eLife. 11: e76145. |
| • Jiang, Y., Komatsu, M., Chen, Y., Xie, R., Zhang, K., Xia, Y., Gui, P., Liang, Z*. , Wang, L.* (2022) Constructing the hierarchy of predictive auditory sequences in the marmoset brain. eLife. 11: e74653. |
| • Xie, Y., Hu, P., Li, J., Chen, J., Song, W., Wang, X., Yang, T., Dehaene, S., Tang, S.,*, Min, B.*, Wang, L.* (2022) Geometry of sequence working memory in macaque prefrontal cortex. Science. 375: 632-639. |
| • Zhang, H., Zhen, Y., Yu, S., Long, T., Zhang, B., Jiang, X., Li, J., Fang, W., Sigman, M., Dehaene, S.,Wang, L.* (2022) Working memory for spatial sequences: Developmental and evolutionary factors in encoding ordinal and relational structures. J. Neurosci. 42: 850-864. |
| • Zeng, H., Huang, J., Li, J., Shen, Z., Gong, N., Wen, Y., Wang, L.* and Poo, M.* (2021) Distinct neuron populations for simple and compound calls in the primary auditory cortex of awake marmosets. National Science Review. 8: nwab126. |
| • Gui, P., Jiang, Y., Zang, D., Qi, Z., Tan, J., Tanigawa, H., Jiang, J., Wen, Y., Xu, L., Zhao, J., Mao, Y., Poo, M., Ding, N., Dehaene, S., Wu, X.* and Wang, L.* (2020) Assessing the depth of language processing in patients with disorders of consciousness. Nature Neuroscience. 23: 761-770. |
| • Fang, W., Li, J., Qi, G., Li, S., Sigman, M., Wang, L.* (2019) Statistical inference of body representation in the macaque brain. Proc. Natl. Acad. Sci. USA. 116(40): 20151-20157.[Commentary by H.Henrik Ehrsson. Premotor cortex implements causal inference in multisensory own-body perception. PNAS. 1914000116] |
| • Jiang, X., Long, T., Cao, W., Li, J., Dehaene, S. and Wang, L.* (2018) Production of supra-regular spatial sequences by macaque monkeys. Current Biology. 28: 1851–1859.[Commentary by W. Tecumseh Fitch. Bio-Linguistics: Monkeys Break Through the Syntax Barrier. Current Biology. 28: R695–R697.] |
所有论文
| • Tian, Z., Chen, J., Zhang, C., Min, B.*, Xu, B.,Wang, L.* (2024) Mental programming of spatial sequences in working memory in the macaque frontal cortex. Science. : 10.1126/science.adp6091 |
| • Chen, J., Zhang, C., Hu, P., Min, B.*, Wang, L.* (2024) Flexible control of sequence working memory in macaque frontal cortex. Neuron. : 10.1016/j.neuron.2024.07.024. |
| • Qi, G., Fang, W.*, Li, S., Li, J., Wang, L.* (2022) Neural dynamics of causal inference in the macaque frontoparietal circuit. eLife. 11: e76145. |
| • Jiang, Y., Komatsu, M., Chen, Y., Xie, R., Zhang, K., Xia, Y., Gui, P., Liang, Z*. , Wang, L.* (2022) Constructing the hierarchy of predictive auditory sequences in the marmoset brain. eLife. 11: e74653. |
| • Xie, Y., Hu, P., Li, J., Chen, J., Song, W., Wang, X., Yang, T., Dehaene, S., Tang, S.,*, Min, B.*, Wang, L.* (2022) Geometry of sequence working memory in macaque prefrontal cortex. Science. 375: 632-639. |
| • Zhang, H., Zhen, Y., Yu, S., Long, T., Zhang, B., Jiang, X., Li, J., Fang, W., Sigman, M., Dehaene, S.,Wang, L.* (2022) Working memory for spatial sequences: Developmental and evolutionary factors in encoding ordinal and relational structures. J. Neurosci. 42: 850-864. |
| • Zeng, H., Huang, J., Li, J., Shen, Z., Gong, N., Wen, Y., Wang, L.* and Poo, M.* (2021) Distinct neuron populations for simple and compound calls in the primary auditory cortex of awake marmosets. National Science Review. 8: nwab126. |
| • Al Roumi, F.*, Marti, S., Wang, L., Amalric, M., Dehaene, S.* (2021) Mental compression of spatial sequences in human working memory using numerical and geometrical primitives. Neuron. 109: 2627-2639. |
| • Planton, S. *, Kerkoerle, T., Abbih, L., Maheu, M., Meyniel, F., Sigman, M., Wang, L., Figueira, S., Romano, S., Dehaene, S. (2021) A theory of memory for binary sequences:Evidence for a mental compression algorithm in humans. PLoS. Comput. Biol. 17: e1008598. |
| • Gui, P., Jiang, Y., Zang, D., Qi, Z., Tan, J., Tanigawa, H., Jiang, J., Wen, Y., Xu, L., Zhao, J., Mao, Y., Poo, M., Ding, N., Dehaene, S., Wu, X.* and Wang, L.* (2020) Assessing the depth of language processing in patients with disorders of consciousness. Nature Neuroscience. 23: 761-770. |
| • Panagiotaropoulos, T.*, Wang, L., Dehaene, S.* (2020) Hierarchical architecture of conscious processing and subjective experience. Cognitive Neuropsychology. 37: 180-183. |
| • Jiang, X.*, Wang, Y., Li, X., Wang, L., Zhou, Y., and Wang, H.* (2020) A Simple and Compact MR-Compatible Electromagnetic Vibrotactile Stimulator. Frontiers in Neuroscience. 13: 1403. |
| • Fang, W., Li, J., Qi, G., Li, S., Sigman, M., Wang, L.* (2019) Statistical inference of body representation in the macaque brain. Proc. Natl. Acad. Sci. USA. 116(40): 20151-20157.[Commentary by H.Henrik Ehrsson. Premotor cortex implements causal inference in multisensory own-body perception. PNAS. 1914000116] |
| • Fang, W., Zhang, R., Zhao, Y., Wang, L. and Zhou, Y.* (2019) Attenuation of pain perception induced by the rubber hand illusion. Frontier in Neuroscience. 13: 261. |
| • AI Roumi, F.*, Dotan, D., Yang, T., Wang, L. and Dehaene, S. (2019) Acquisition and processing of an artificial mini-language combining semantic and syntactic elements. Cognition. 185: 49-61. |
| • Jiang, X., Long, T., Cao, W., Li, J., Dehaene, S. and Wang, L.* (2018) Production of supra-regular spatial sequences by macaque monkeys. Current Biology. 28: 1851–1859.[Commentary by W. Tecumseh Fitch. Bio-Linguistics: Monkeys Break Through the Syntax Barrier. Current Biology. 28: R695–R697.] |
| • Que, M., Jiang, X., Yi, C., Gui, P., Jiang, Y., Zhou, Y-D. and Wang, L.* (2018) Language and sensory neural plasticity in the superior temporal cortex of the deaf. Neural Plasticity. online publication, doi: 10.1155/2018/9456891. |
| • Chao, Z.*, Takaura, K., Wang, L., Fujii, L. and Dehaene, S. (2018) Large-scale cortical networks for hierarchical prediction and prediction error in the primate brain. Neuron. 100: 1252-1266.e3. |
| • Wang, L.*, Amalric, M., Fang, W., Jiang X., Pallier, C., Figueira, S., Sigman, M., Dehaene, S.* (2018) Representation of spatial sequences using nested rules in human prefrontal cortex. Neuroimage. 186: 245-255. |
| • Gui, P.*, Li, J., Ku, Y., Li, L., Li, X., Zhou, X., Bodner, M., Lenz, FA., Dong, X., Wang, L. and Zhou, Y. (2018) Neural correlates of feedback processing in visuo-tactile crossmodal paired-associate learning. Frontiers in Human Neuroscience. 12: 266. |
| • Amalric, M.*, Wang, L., Pica, P., Figueira, S., Sigman, M. and Dehaene, S.* (2017) The language of geometry: Fast comprehension of geometrical primitives and rules in human adults and preschoolers. PLoS Computational Biology. 13(1): e1005273. |
| • Gui, P., Ku, Y., Li, L., Li, X., Bodner, M., Lenz, F. A., Wang, L.* and Zhou Y-D. (2017) Neural correlates of visuo-tactile crossmodal paired-associate learning and memory in humans. Neuroscience. 362: 181-195. |
| • Wang, L., Gui, P., Li, L., Ku, Y., Bodner, M., Fan, G., Zhou, Y. and Dong X.* (2016) Neural correlates of heat-evoked pain memory in humans. Journal of Neurophysiology. 115(3): 1596-1604. |
| • Wang, L.*, Uhrig, L., Jarraya, B. and Dehaene, S.* (2015) Representation of numerical and sequential patterns in macaque and human brains. Current Biology. 25: 1966-1974[Reported by Alison Abbott on Nature News, https://www.nature.com/news/brain-area-found-that-may-make-humans-unique-1.18051] |
| • Wang, L., Li, X., Hsiao, S., Lenz, F., Bodner, M., Zhou, Y.* and Fuster, J. (2015) Differential roles of delay-period neural activity in the monkey dorsolateral prefrontal cortex in visual-haptic crossmodal working memory. Proc. Natl. Acad. Sci. USA. 112: E214-219. |
| • Dehaene, S.*, Meyniel, F., Wacongne, C., Wang, L. and Pallier, C. (2015) The neural representation of sequences: From transition probabilities to algebraic patterns and linguistic trees. Neuron. 88: 2-19. |
| • Wang, L.*, Bodner, M. and Zhou, Y. (2013) Distributed neural networks of tactile working memory. Journal of physiology., Paris. 107: 452-458. |
| • Wang, L., Li, X., Hsiao, S., Bodner, M., Lenz, F. and Zhou, Y.* (2012) Behavioral choice-related neuronal activity in monkey primary somatosensory cortex in a haptic delay task. Journal of Cognitive Neuroscience. 24: 1634-1644. |
| • Wang, L., Li, X., Hsiao, S., Bodner, M., Lenz, F. and Zhou, Y.* (2012) Persistent neuronal firing in primary somatosensory cortex in the absence of working memory of trial-specific features of the sample stimuli in a haptic working memory task. Journal of Cognitive Neuroscience. 24: 664-676. |
| • Ohara, S., Wang, L., Ku, Y., Lenz, F., Hsiao, S., Hong, B. and Zhou, Y.* (2008) Neural activities of tactile cross-modal working memory in humans: an event-related potential study. Neuroscience. 152: 692-702. |
| • Ku, Y., Ohara, S., Wang, L., Lenz, F., Hsiao, S., Bodner, M., Hong, B. and Zhou, Y.* (2007) Prefrontal cortex and somatosensory cortex in tactile crossmodal association:An independent component analysis of ERP recordings. PLoS One. 2(8): e771. |
