Data-driven reduction of dendritic morphologies with preserved dendro-somatic responses

Wybo, Willem; Jordan, Jakob; Ellenberger, Benjamin; Marti Mengual, Ulisses; Nevian, Thomas; Senn, Walter (2021). Data-driven reduction of dendritic morphologies with preserved dendro-somatic responses. eLife, 10(e60936) eLife Sciences Publications 10.7554/eLife.60936

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Dendrites shape information flow in neurons. Yet, there is little consensus on the level of spatial complexity at which they operate. Through carefully chosen parameter fits, solvable in the least-squares sense, we obtain accurate reduced compartmental models at any level of complexity. We show that (back-propagating) action potentials, Ca2+ spikes, and N-methyl-D-aspartate spikes can all be reproduced with few compartments. We also investigate whether afferent spatial connectivity motifs admit simplification by ablating targeted branches and grouping affected synapses onto the next proximal dendrite. We find that voltage in the remaining branches is reproduced if temporal conductance fluctuations stay below a limit that depends on the average difference in input resistance between the ablated branches and the next proximal dendrite. Furthermore, our methodology fits reduced models directly from experimental data, without requiring morphological reconstructions. We provide software that automatizes the simplification, eliminating a common hurdle toward including dendritic computations in network models.

Item Type:

Journal Article (Original Article)

Division/Institute:

04 Faculty of Medicine > Pre-clinic Human Medicine > Institute of Physiology

UniBE Contributor:

Wybo, Willem; Jordan, Jakob Jürgen; Ellenberger, Benjamin Till; Marti Mengual, Ulisses; Nevian, Thomas and Senn, Walter

Subjects:

600 Technology > 610 Medicine & health
100 Philosophy > 150 Psychology

ISSN:

2050-084X

Publisher:

eLife Sciences Publications

Language:

English

Submitter:

Stefan von Känel-Zimmermann

Date Deposited:

26 Oct 2021 14:45

Last Modified:

26 Oct 2021 14:45

Publisher DOI:

10.7554/eLife.60936

PubMed ID:

33494860

BORIS DOI:

10.48350/159859

URI:

https://boris.unibe.ch/id/eprint/159859

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