TY  - INPR
A1  - Schneider, Marius
A1  - Bird, Alexander D
A1  - Gidon, Albert
A1  - Triesch, Jochen
A1  - Jedlička, Peter
A1  - Cuntz, Hermann
T1  - Biological complexity facilitates tuning of the neuronal parameter space
T2  - bioRxiv
N2  - The electrical and computational properties of neurons in our brains are determined by a rich repertoire of membrane-spanning ion channels and elaborate dendritic trees. However, the precise reason for this inherent complexity remains unknown. Here, we generated large stochastic populations of biophysically realistic hippocampal granule cell models comparing those with all 15 ion channels to their reduced but functional counterparts containing only 5 ion channels. Strikingly, valid parameter combinations in the full models were more frequent and more stable in the face of perturbations to channel expression levels. Scaling up the numbers of ion channels artificially in the reduced models recovered these advantages confirming the key contribution of the actual number of ion channel types. We conclude that the diversity of ion channels gives a neuron greater flexibility and robustness to achieve target excitability.
Y1  - 2022
UR  - http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/73081
UR  - https://nbn-resolving.org/urn:nbn:de:hebis:30:3-730819
IS  - 2021.05.04.442120
ER  -