bioRxiv preprint doi: https://doi.org/10.1101/251314; this version posted January 22, 2018. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. 1 TITLE 2 Challenging the point neuron dogma: FS basket cells as 2-stage 3 nonlinear integrators 4 AUTHORS 5 Alexandra Tzilivaki1,2 and Panayiota Poirazi1* 6 1 Institute of Molecular Biology and Biotechnology (IMBB), Foundation for Research 7 and Technology Hellas (FORTH), Heraklion, Greece 8 2 Department of Biology, University of Crete, Heraklion, Greece. 9 * Correspondence: Panayiota Poirazi (
[email protected]) 10 11 ABSTRACT 12 Interneurons are critical for the proper functioning of neural circuits and are typically 13 considered to act as linear point neurons. However, exciting new findings reveal 14 complex, sub- and/or supralinear computations in the dendrites of various interneuron 15 types. These findings challenge the point neuron dogma and call for a new theory of 16 interneuron arithmetic. Using detailed, biophysically constrained models, we predict 17 that dendrites of FS basket cells in both the hippocampus and mPFC come in two 18 flavors: supralinear, supporting local sodium spikes within large-volume branches and 19 sublinear, in small-volume branches. Synaptic activation of varying sets of these 20 dendrites leads to somatic firing variability that cannot be explained by the point 21 neuron reduction. Instead, a 2-stage Artificial Neural Network (ANN), with both sub- 22 and supralinear hidden nodes, captures the variance.