Comment on “Cortical folding scales universally with surface area and thickness, not number of neurons” | Zendy

Éric Lewitus | Zendy; Iva Kelava | Zendy; Alex T. Kalinka | Zendy; Pavel Tomančák | Zendy; Wieland Β. Huttner | Zendy

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Comment on “Cortical folding scales universally with surface area and thickness, not number of neurons”

Author(s) -

Éric Lewitus,

Iva Kelava,

Alex T. Kalinka,

Pavel Tomančák,

Wieland Β. Huttner

Publication year - 2016

Publication title -

science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 12.556

H-Index - 1186

eISSN - 1095-9203

pISSN - 0036-8075

DOI - 10.1126/science.aad2029

Subject(s) - folding (dsp implementation) , computer science , neuroscience , observational study , cortical neurons , work (physics) , statistical physics , artificial intelligence , geology , biology , mathematics , physics , statistics , electrical engineering , engineering , thermodynamics

Mota and Herculano-Houzel (Reports, 3 July 2015, p. 74) assign power functions to neuroanatomical data and present a model to account for evolutionary patterns of cortical folding in the mammalian brain. We detail how the model assumptions are in conflict with experimental and observational work and show that the model itself does not accurately fit the data.

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