David McLaughlin

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Weighted list of dominant concepts in the person's research.

Mathematical Modeling and Analysis of Spatial Neuron Dynamics: Dendritic Integration and Beyond
Li, S., McLaughlin, D. W. & Zhou, D., Jan 2023, In: Communications on Pure and Applied Mathematics. 76, 1, p. 114-162
Research output: Contribution to journal › Article › peer-review

Open Access
Modeling the role of gap junctions between excitatory neurons in the developing visual cortex
Crodelle, J. & McLaughlin, D. W., Jul 2021, In: PLoS computational biology. 17, 7, e1007915.
Research output: Contribution to journal › Article › peer-review

Open Access
Neural networks of different species, brain areas and states can be characterized by the probability polling state
Xu, Z. Q. J., Gu, X., Li, C., Cai, D., Zhou, D. & McLaughlin, D. W., Oct 1 2020, In: European Journal of Neuroscience. 52, 7, p. 3790-3802 13 p.
Research output: Contribution to journal › Article › peer-review
Ring models of binocular rivalry and fusion
Wang, Z., Dai, W. & McLaughlin, D. W., May 1 2020, In: Journal of Computational Neuroscience. 48, 2, p. 193-211 19 p.
Research output: Contribution to journal › Article › peer-review
Dendritic computations captured by an effective point neuron model
Li, S., Liu, N., Zhang, X., McLaughlin, D. W., Zhou, D. & Cai, D., Jul 23 2019, In: Proceedings of the National Academy of Sciences of the United States of America. 116, 30, p. 15244-15252 9 p.
Research output: Contribution to journal › Article › peer-review

Open Access