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Preserving neural function under extreme scaling

MPS-Authors
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Cuntz,  Hermann
Department: Circuits-Computation-Models / Borst, MPI of Neurobiology, Max Planck Society;

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Förstner,  Friedrich
Department: Circuits-Computation-Models / Borst, MPI of Neurobiology, Max Planck Society;

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Schnell,  Bettina
Department: Circuits-Computation-Models / Borst, MPI of Neurobiology, Max Planck Society;

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Ammer,  Georg
Department: Circuits-Computation-Models / Borst, MPI of Neurobiology, Max Planck Society;

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Raghu,  Shamprasad Varija
Department: Circuits-Computation-Models / Borst, MPI of Neurobiology, Max Planck Society;

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Borst,  Alexander
Department: Circuits-Computation-Models / Borst, MPI of Neurobiology, Max Planck Society;

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Citation

Cuntz, H., Förstner, F., Schnell, B., Ammer, G., Raghu, S. V., & Borst, A. (2013). Preserving neural function under extreme scaling. PLoS One, 8(8): e71540. doi:10.1371/journal.pone.0071540.


Cite as: https://hdl.handle.net/11858/00-001M-0000-0014-65BA-C
Abstract
Important brain functions need to be conserved throughout organisms of extremely varying sizes. Here we study the scaling properties of an essential component of computation in the brain: the single neuron. We compare morphology and signal propagation of a uniquely identifiable interneuron, the HS cell, in the blowfly (Calliphora) with its exact counterpart in the fruit fly (Drosophila) which is about four times smaller in each dimension. Anatomical features of the HS cell scale isometrically and minimise wiring costs but, by themselves, do not scale to preserve the electrotonic behaviour. However, the membrane properties are set to conserve dendritic as well as axonal delays and attenuation as well as dendritic integration of visual information. In conclusion, the electrotonic structure of a neuron, the HS cell in this case, is surprisingly stable over a wide range of morphological scales.