Efel 2.6

Geit, Werner Van; MikeG,; Luís,; croessert,

doi:10.5281/zenodo.30074

Cited by 2 publications

(1 citation statement)

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“…The data were extracted from mouse and human PC experimental traces having spontaneous activity and responses to positive step current injections (mouse PCs: 0.1, 0.5 and 1nA; Human PCs: 0.1, 0.5 and 1nA). The Blue Brain Project eFel library 65 was used to extract the following feature: AP amplitude, ISI_CV, AHP depth slow, AHP depth absolute, AP width, voltage base, mean frequency and Spike count.…”

Section: Methodsmentioning

confidence: 99%

Human outperform mouse Purkinje cells in dendritic complexity and computational capacity

Masoli

Sánchez-Ponce

Vrieler

et al. 2023

Preprint

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Purkinje cells (PC) of the cerebellum are amongst the largest neurons of the brain and have been extensively investigated in rodents. However, their morphological and physiological properties in humans are still poorly understood. Here, we have taken advantage of high-resolution morphological reconstructions and of unique electrophysiological recordings of human PCsex vivoto generate computational models and estimate computational capacity. An inter-species comparison showed that human PCs had similar fractal structure but were bigger than mouse PCs. Consequently, given a similar spine density (2/μm), human PCs hosted about 5 times more dendritic spines. Moreover, human had higher dendritic complexity than mouse PCs and usually emitted 2-3 main dendritic trunks instead than 1. Intrinsic electroresponsiveness was similar in the two species but model simulations revealed that the dendrites generated ~6.5 times (n=51 vs. n=8) more combinations of independent input patterns in human than mouse PCs leading to an exponential 2nincrease in Shannon information. Thus, while during evolution human PCs maintained similar patterns of spike discharge as in rodents, they developed more complex dendrites enhancing computational capacity up to the limit of 10 billion times.

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Section: Methodsmentioning

confidence: 99%

Human outperform mouse Purkinje cells in dendritic complexity and computational capacity

Masoli

Sánchez-Ponce

Vrieler

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

Human Purkinje cells outperform mouse Purkinje cells in dendritic complexity and computational capacity

Masoli,

Sanchez-Ponce,

Vrieler

et al. 2024

Commun Biol

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Purkinje cells in the cerebellum are among the largest neurons in the brain and have been extensively investigated in rodents. However, their morphological and physiological properties remain poorly understood in humans. In this study, we utilized high-resolution morphological reconstructions and unique electrophysiological recordings of human Purkinje cells ex vivo to generate computational models and estimate computational capacity. An inter-species comparison showed that human Purkinje cell had similar fractal structures but were larger than those of mouse Purkinje cells. Consequently, given a similar spine density (2/μm), human Purkinje cell hosted approximately 7.5 times more dendritic spines than those of mice. Moreover, human Purkinje cells had a higher dendritic complexity than mouse Purkinje cells and usually emitted 2–3 main dendritic trunks instead of one. Intrinsic electro-responsiveness was similar between the two species, but model simulations revealed that the dendrites could process ~6.5 times (n = 51 vs. n = 8) more input patterns in human Purkinje cells than in mouse Purkinje cells. Thus, while human Purkinje cells maintained spike discharge properties similar to those of rodents during evolution, they developed more complex dendrites, enhancing computational capacity.

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Efel 2.6

Cited by 2 publications

References 0 publications

Human outperform mouse Purkinje cells in dendritic complexity and computational capacity

Human outperform mouse Purkinje cells in dendritic complexity and computational capacity

Human Purkinje cells outperform mouse Purkinje cells in dendritic complexity and computational capacity

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