Marcus Triplett

I'm a postdoctoral research scientist at Columbia University working on probabilistic methods for optogenetic interrogation of neural circuits with Liam Paninski. Previously, I completed my PhD in Computational Neuroscience with Geoff Goodhill at the University of Queensland, Australia. Before that, I obtained a BSc in Computer Science and Mathematics at the University of Auckland, New Zealand.

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Computational Neuroscience

M. A. Triplett & G. J. Goodhill (2022). Inference of multiplicative factors underlying neural variability in calcium imaging data. Neural Computation 34(5), 1-27. [Link]

M. A. Triplett, Z. Pujic, B. Sun, L. Avitan & G. J. Goodhill. (2020). Model-based decoupling of evoked and spontaneous neural activity in calcium imaging data. PLoS Computational Biology 16(11): e1008330. [Link]

M. A. Triplett & G. J. Goodhill. (2019). Probabilistic encoding models for multivariate neural data. Frontiers in Neural Circuits 13:1. [Link]

M. A. Triplett, L. Avitan & G. J. Goodhill. (2018). Emergence of spontaneous assembly activity in developing neural networks without afferent input. PLoS Computational Biology 14(9): e1006421. [Link]

F. Abbas, M. A. Triplett, G. J. Goodhill & M. P. Meyer. (2017). A three-layer network model of direction selective circuits in the optic tectum. Frontiers in Neural Circuits 11:88. [Link]

Statistical Genetics

M. R. Robinson, G. English, G. Moser, L. R. Lloyd-Jones, M. A. Triplett, Z. Zhu et al. (2017). Genotype-covariate interaction effects and the heritability of adult body mass index. Nature Genetics 49, 1174-1181 . [Link]

Mathematical and Philosophical Logic

A. Nies, M. A. Triplett & K. Yokoyama. (2021). The reverse mathematics of theorems of Jordan and Lebesgue. Journal of Symbolic Logic 86(4), 1657-1675. [Link]

P. Girard & M. A. Triplett. (2017). Prioritised ceteris paribus logic for counterfactual reasoning. Synthese 195:1681. [Link]

P. Girard & M. A. Triplett. (2015). Ceteris paribus logic in counterfactual reasoning. Proceedings Fifteenth Conference on Theoretical Aspects of Rationality and Knowledge. Electronic Proceedings in Theoretical Computer Science 215. [Link]


Neural encoding models for multivariate optical imaging data. (2020). PhD thesis. [Link]

Computable functions of bounded variation and the complexity of Jordan decomposition. (2015). Honours dissertation. [Link]

Mortimer B. Zuckerman Mind Brain Behavior Institute
Columbia University
3227 Broadway, New York, NY 10027
United States of America