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Challenging the point neuron dogma: FS basket cells as 2-stage nonlinear integrators

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  • Alexandra Tzilivaki

    (Foundation for Research and Technology Hellas (FORTH)
    University of Crete
    Einstein Center for Neurosciences Berlin, Charité – Universitätsmedizin Berlin, Freie Universität Berlin and Humboldt-Universität zu Berlin, and Berlin Institute of Health, NeuroCure Cluster of Excellence)

  • George Kastellakis

    (Foundation for Research and Technology Hellas (FORTH))

  • Panayiota Poirazi

    (Foundation for Research and Technology Hellas (FORTH))

Abstract

Interneurons are critical for the proper functioning of neural circuits. While often morphologically complex, their dendrites have been ignored for decades, treating them as linear point neurons. Exciting new findings reveal complex, non-linear dendritic computations that call for a new theory of interneuron arithmetic. Using detailed biophysical models, we predict that dendrites of FS basket cells in both hippocampus and prefrontal cortex come in two flavors: supralinear, supporting local sodium spikes within large-volume branches and sublinear, in small-volume branches. Synaptic activation of varying sets of these dendrites leads to somatic firing variability that cannot be fully explained by the point neuron reduction. Instead, a 2-stage artificial neural network (ANN), with sub- and supralinear hidden nodes, captures most of the variance. Reduced neuronal circuit modeling suggest that this bi-modal, 2-stage integration in FS basket cells confers substantial resource savings in memory encoding as well as the linking of memories across time.

Suggested Citation

  • Alexandra Tzilivaki & George Kastellakis & Panayiota Poirazi, 2019. "Challenging the point neuron dogma: FS basket cells as 2-stage nonlinear integrators," Nature Communications, Nature, vol. 10(1), pages 1-14, December.
    • Handle: RePEc:nat:natcom:v:10:y:2019:i:1:d:10.1038_s41467-019-11537-7
    DOI: 10.1038/s41467-019-11537-7
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    Cited by:

    1. Linda Judák & Balázs Chiovini & Gábor Juhász & Dénes Pálfi & Zsolt Mezriczky & Zoltán Szadai & Gergely Katona & Benedek Szmola & Katalin Ócsai & Bernadett Martinecz & Anna Mihály & Ádám Dénes & Bálint, 2022. "Sharp-wave ripple doublets induce complex dendritic spikes in parvalbumin interneurons in vivo," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
    2. Hanle Zheng & Zhong Zheng & Rui Hu & Bo Xiao & Yujie Wu & Fangwen Yu & Xue Liu & Guoqi Li & Lei Deng, 2024. "Temporal dendritic heterogeneity incorporated with spiking neural networks for learning multi-timescale dynamics," Nature Communications, Nature, vol. 15(1), pages 1-20, December.
    3. Michalis Pagkalos & Spyridon Chavlis & Panayiota Poirazi, 2023. "Introducing the Dendrify framework for incorporating dendrites to spiking neural networks," Nature Communications, Nature, vol. 14(1), pages 1-16, December.

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