Technical Program

Paper Detail

Paper: PS-2B.34
Session: Poster Session 2B
Location: H Fläche 1.OG
Session Time: Sunday, September 15, 17:15 - 20:15
Presentation Time:Sunday, September 15, 17:15 - 20:15
Presentation: Poster
Publication: 2019 Conference on Cognitive Computational Neuroscience, 13-16 September 2019, Berlin, Germany
Paper Title: Flexible connectivity under physiological constraints
Manuscript:  Click here to view manuscript
License: Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 Unported License.
Authors: Gabriel Ocker, Michael Buice, Allen Institute for Brain Science, United States
Abstract: Physiological constraints define allowed configurations of synaptic weights for neural circuits. How this affects circuit function remains little understood. We examine the hypothesis that neural circuits may be structured to make constraints flexi- ble: to allow many configurations of synaptic weights. The size of these allowed weight spaces depends on the number of in- puts to a neuron: its connectivity degree. We predict degree distributions that optimize simple constraints on a neuron’s to- tal synaptic weight. We also find the degrees of connectivity that maximize the number of allowed synaptic weight config- urations. To test these predictions, we examine reconstruc- tions of the mushroom bodies from the first instar larva and the adult Drosophila melanogaster. Overall, flexibility under a homeostatically fixed total synaptic weight describes Kenyon cell connectivity better than other models, suggesting a prin- ciple shaping the apparently random structure of Kenyon cell wiring.