Publications

1.

Piet, A.T., Erlich J.C., Kopec C.D., and Brody C.D. (2017). Rat Prefrontal Cortex Inactivations during Decision Making Are Explained by Bistable Attractor Dynamics. Neural Computation, p.1-26

2.

Zhao, D., Zhou, Y. D., Bodner, M., & Ku, Y. (2017). The Causal Role of the Prefrontal Cortex and Somatosensory Cortex in Tactile Working MemoryCerebral Cortex, 1-10.

3.

Cheng, Y., Jia, G., Zhang, Y., Hao, H., Shan, Y., Yu, L., ... & Zhou, X. (2017). Positive impacts of early auditory training on cortical processing at an older ageProceedings of the National Academy of Sciences, 201707086.

4.

Murray, J. D., Jaramillo, J. H., & Wang, X. J. (2017). Working memory and decision making in a fronto-parietal circuit modelbioRxiv, preprint. doi:10.1101/104802 

5.

del Molino, L. C. G., Yang, G. R., Mejias, J. F., & Wang, X. J. (2017). Response Reversal During Top-Down Modulation In Cortical Circuits With Multiple Interneuron TypesbioRxiv, preprint. doi:10.1101/124669 

6.

Chaisangmongkon W, Swaminathan SK, Freedman DJ and Wang X-J (2017) Computing by robust transients: How thefronto-parietal network performs sequential category-based decisionsNeuron93, 1504-1517.

7.

Lam NH, Borduqui T, Hallak J, Roque AC, Anticevic A, Krystal JH, Wang X-J, Murray JD (2017) Effects of altered excitation-inhibitionbalance on decision making in a cortical circuit modelBioRxiv, doi: https://doi.org/10.1101/100347

8.

Song F, Yang G and Wang X-J (2017) Reward-based training of recurrent neural networks forcognitive and value-based taskseLife, 6: e21492.

9.

Murray, J. D., Bernacchia, A., Roy, N. A., Constantinidis, C., Romo, R., & Wang, X. J. (2016). Stable population coding for working memory coexists with heterogeneous neural dynamics in prefrontal cortexProc. Natl. Acad. Sci. USA. doi:10.1073/pnas.1619449114 

10.

Wei, W., & Wang, X. J. (2016). Inhibitory Control in the Cortico-Basal Ganglia-Thalamocortical Loop: Complex Regulation and Interplay with Memory and Decision ProcessesNeuron. 92:1093. doi:10.1016/j.neuron.2016.10.031 

11.

Mejias, J. F., Murray, J. D., Kennedy, H., & Wang, X. J. Feedforward and feedback frequency-dependent interactions in a large-scale laminar network of the primate cortex. Science Advances, 2(11), e1601335. (2016).

12.

Yang, G. R., Murray, J. D., & Wang, X. J. A Dendritic Disinhibitory Circuit Mechanism for Pathway-Specific GatingNature Communications 7, doi:10.1038/ncomms12815. (2016)

13.

Lo, C. C., & Wang, X. J. (2016). Conflict Resolution as Near-Threshold Decision-Making: A Spiking Neural Circuit Model with Two-Stage Competition for Antisaccadic TaskPLoS Comput Biol12(8), e1005081.

14.

Tian, X., Zarate, J.M., Poeppel, D. (2016). Mental imagery of speech implicates two mechanisms of perceptual reactivationCortex. DOI: 10.1016/j.cortex.2016.01.002

15.

Ding, N., Melloni, L., Zhang, H., Tian, X., Poeppel, D. (2016). Cortical tracking of hierarchical linguistic structure in connected speechNature Neuroscience. 19(1), 158-164.

16.

Scott, B.B., Constantinople, C.M., Erlich, J.C., Tank, D.W., Brody, C.D., 2015. Sources of noise during accumulation of evidence in unrestrained and voluntarily head-restrained rats. Elife (Cambridge) 4, e11308. doi:10.7554/eLife.11308

17.

Van der Haegen, L., Acke, F., Vingerhoets, G., Dhooge, I., De Leenheer, E., Cai, Q., & Brysbaert, M. (2015). Laterality and unilateral deafness: Patients with congenital right ear deafness do not develop atypical language dominanceNeuropsychologia. doi:10.1016/j.neuropsychologia.2015.10.032

18.

Chaudhuri R, Knoblauch K, Gariel M-A, Kennedy H, Wang X-J (2015), A large-scale circuit mechanism for hierarchical dynamical processing in the primate cortexNeuron 88:419–431., doi:10.1016/j.neuron.2015.09.008

19.

Dehaene, S., Meyniel, F., Wacongne, C., Wang, L., & Pallier, C. (2015). The Neural Representation of Sequences: From Transition Probabilities to Algebraic Patterns and Linguistic TreesNeuron, 88(1), 2-19.

20.

Kopec, C.D., Erlich, J.C., Brunton, B.W., Deisseroth K, and Brody C.D. (2015) Cortical and Subcortical Contributions to Short-Term Memory for Orienting MovementsNeuron, doi:10.1016/j.neuron.2015.08.033

21.

Duan C.A., Erlich J.C. and Brody C.D. (2015) Requirement of Prefrontal and Midbrain Regions for Rapid Executive Control of Behavior in the RatNeuron, doi:10.1016/j.neuron.2015.05.042

22.

Erlich J.C., Brunton B.W., Duan C.A., Hanks T.D. and Brody C.D. (2015) Distinct behavioral effects of prefrontal and parietal cortex inactivations on an accumulation of evidence task in the rat. eLife, 4:e05457.

23.

Wang, L., Uhrig, L., Jarraya, B. and Dehaene, S. (2015). Representation of numerical and sequential patterns in macaque and human brains. Current Biology 25(15):1966-74.

24.

Kwok, S. C., and Macaluso, E. (2015), Scale-invariance of temporal order discrimination using complex, naturalistic events, Cognition, 140, 111-121. DOI:10.1016/j.cognition.2015.04.007.

25.

Kwok S. C., and Macaluso E. (2015), Immediate memory for "when, where and what": short-delay retrieval using dynamic naturalistic material, Hum. Brain. Mapp., DOI: 10.1002/hbm.22787.

26.

Kwok, S. C., Mitchell, A. S., & Buckley, M. J. (2015) Adaptability to changes in temporal structure is fornix dependentLearning & Memory, 22, 354-359. doi: 10.1101/lm.038851.115

27.

Kwok, S. C., & Macaluso, E. (2015) Exogenous features versus prior experiences modulate different subregions of the right IPL during episodic memory retrievalScientific Reports, 5, Article number: 11248. doi:10.1038/srep11248

28.

Wei W., Rubin J. E., and Wang X-J (2015), Role of the indirect pathway of the basal ganglia in perceptual decision making, J. Neurosci., 35, 4052-4064.

29.

Ku Y., Bodner M., and Zhou Y-D. (2015), Prefrontal cortex and sensory cortices during working memory: quantity and quality, Neurosci Bull, 31 (2), 175-182.

30.

Engel T. A., Chaisangmongkon W., Freedman D. J. , Wang X-J (2015), Choice-correlated activity fluctuations underlie learning of neuronal category representation, Nature Communications, 6, 6454, DOI:10.1038/ncomms7454.

31.

Zhou, X., Lu, J. Y. F., Darling, R. D., Simpson, K. L., Zhu, X., Wang, F., ... & Lin, R. C. (2015). Behavioral training reverses global cortical network dysfunction induced by perinatal antidepressant exposure. Proceedings of the National Academy of Sciences, 112(7), 2233-2238.

32.

Wang L., Li X., Lenz F.A., Hsiao S., Bodner M, Zhou Y-D., and Fuster J.M. (2015), Differential roles of delay-period neural activity in monkey dorsolateral prefrontal cortex in visual-haptic crossmodal working memory, Proc. Natl. Acad. Sci., 112, 2, DOI: 10.1073/pnas.1410130112.

33.

Ku, Y., Zhao, D., Hao, N., Hu, Y., Bodner, M. and Zhou Y-D. (2015), Sequential roles of primary somatosensory cortex and posterior parietal cortex in tactile-visual cross-modal working memory: A single-pulse transcranial magnetic stimulation (spTMS) studyBrain. Stimul., 8, 88-91.

34.

Hanks T.D., Kopec C.D., Brunton B.W., Duan A.D., Erlich J. C., and Brody C. D. (2015), Distinct relationships of parietal and prefrontal cortices to evidence accumulationNature, DOI: 10.1038/nature14066.

35.

Seo H. J., Cai X., Donahue C. H., and Lee D. Y. (2014), Neural correlates of strategic reasoning during competitive gamesScience, 346, 340-343.

36.

Murray J. D., Bernacchia A., Freedman D. J., Romo R., Wallis J. D., Cai X., Padoa-Schioppa C., Pasternak T., Seo H., Lee D., Wang X-J (2014), A hierarchy of intrinsic timescales across primate cortex., Nature Neurosci., 17, 1661-1663.

37.

Song H. F., Kennedy H., Wang X-J (2014), Spatial embedding of structural similarity in the cerebral cortexProc. Natl. Acad. Sci., DOI: 10.1073/pnas.1414153111.

38.

Song, H. F., and Wang X-J (2014), Simple, distance-dependent formulation of the Watts-Strogatz model for directed and undirected small-world networks, Phys. Rev. E, 90, 062801, DOI: 10.1103/PhysRevE.90.062801.

39.

Wang X-J and Krystal J. (2014), Computational Psychiatry, Neuron, 84, 638-654, DOI: 10.1016/j.neuron.2014.10.018.

40.

Pereira J., Wang X-J (2014), A Tradeoff Between Accuracy and Flexibility in a Working Memory Circuit Endowed with Slow Feedback Mechanisms, Cerebral Cortex, DOI: 10.1093/cercor/bhu202.

41.

Yang G. J. *, Murray J. D. *, Repovs G., Cole M. W., Savic A., Glasser M. F., Pittenger C., Krystal J. H., Wang X-J, Pearlson G. D., Glahn D. C., and Anticevic A. (2014) (* equal contribution), Altered global brain signal in schizophrenia, Proc. Natl. Acad. Sci., 111, 20, DOI: 10.1073/pnas. 1405289111.

42.

Zhao Y., Xu X., He J. Xu J. and Zhang J. (2014), Age-related changes in neural gap detection thresholds in the rat auditory cortex, Eur. J. Neurosci., DOI: 10.1111/ejn.12791.

43.

Zhu X. Q., Liu X., Wei F. F., Wang F., Merzenich M. M., Schreiner C. E., Sun X. D., and Zhou X. M.(2014), Perceptual Training Restores Impaired Cortical Temporal Processing due to Lead Exposure, Cereb. Cortex., 1–13, DOI: 10.1093/cercor/bhu258.