Ontology highlight
ABSTRACT:
SUBMITTER: Amsalem O
PROVIDER: S-EPMC6962154 | biostudies-literature | 2020 Jan
REPOSITORIES: biostudies-literature
Amsalem Oren O Eyal Guy G Rogozinski Noa N Gevaert Michael M Kumbhar Pramod P Schürmann Felix F Segev Idan I
Nature communications 20200115 1
Detailed conductance-based nonlinear neuron models consisting of thousands of synapses are key for understanding of the computational properties of single neurons and large neuronal networks, and for interpreting experimental results. Simulations of these models are computationally expensive, considerably curtailing their utility. Neuron_Reduce is a new analytical approach to reduce the morphological complexity and computational time of nonlinear neuron models. Synapses and active membrane chann ...[more]