Bruno Mota
Affiliations: | Institute of Physics | Federal University of Rio de Janeiro, Rio de Janeiro, Rio de Janeiro, Brazil |
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Sign in to add trainee| Kleber Neves | grad student | 2014-2018 | Federal University of Rio de Janeiro |
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| York AR, Sherwood CC, Manger PR, et al. (2024) Folding of the cerebellar cortex is clade-specific in form but universal in degree. The Journal of Comparative Neurology. 532: e25616 |
| Wang Y, Leiberg K, Ludwig T, et al. (2020) Independent components of human brain morphology. Neuroimage. 117546 |
| Neves K, Menezes Guimarães D, Rayêe D, et al. (2019) The reliability of the isotropic fractionator method for counting total cells and neurons. Journal of Neuroscience Methods. 108392 |
| Mota B, Dos Santos SE, Ventura-Antunes L, et al. (2019) White matter volume and white/gray matter ratio in mammalian species as a consequence of the universal scaling of cortical folding. Proceedings of the National Academy of Sciences of the United States of America |
| Wang Y, Necus J, Rodriguez LP, et al. (2019) Human cortical folding across regions within individual brains follows universal scaling law. Communications Biology. 2: 191 |
| Wang Y, Necus J, Kaiser M, et al. (2016) Universality in human cortical folding in health and disease. Proceedings of the National Academy of Sciences of the United States of America |
| Gabi M, Neves K, Masseron C, et al. (2016) No relative expansion of the number of prefrontal neurons in primate and human evolution. Proceedings of the National Academy of Sciences of the United States of America |
| Mota B, Herculano-Houzel S. (2016) Response to Comments on "Cortical folding scales universally with surface area and thickness, not number of neurons". Science (New York, N.Y.). 351: 826 |
| Gomero GI, Mota B, Reboucas MJ. (2016) Limits of the circles-in-the-sky searches in the determination of cosmic topology of nearly flat universes Physical Review D. 94: 43501 |
| Mota B, Herculano-Houzel S. (2015) BRAIN STRUCTURE. Cortical folding scales universally with surface area and thickness, not number of neurons. Science (New York, N.Y.). 349: 74-7 |