A realistic morpho-anatomical connection strategy for modelling full-scale point-neuron microcircuits.
Ontology highlight
ABSTRACT: The modeling of extended microcircuits is emerging as an effective tool to simulate the neurophysiological correlates of brain activity and to investigate brain dysfunctions. However, for specific networks, a realistic modeling approach based on the combination of available physiological, morphological and anatomical data is still an open issue. One of the main problems in the generation of realistic networks lies in the strategy adopted to build network connectivity. Here we propose a method to implement a neuronal network at single cell resolution by using the geometrical probability volumes associated with pre- and postsynaptic neurites. This allows us to build a network with plausible connectivity properties without the explicit use of computationally intensive touch detection algorith
SUBMITTER: Gandolfi D
PROVIDER: S-EPMC9381785 | biostudies-literature | 2022 Aug
REPOSITORIES: biostudies-literature
ACCESS DATA