Efficient simulation of neural development using shared memory parallelization

Efficient simulation of neural development using shared memory parallelization

The Neural Development Simulator, NeuroDevSim, is a Python module that simulates the most important aspects of brain development: morphological growth, migration, and pruning. It uses an agent-based modeling approach inherited from the NeuroMaC software. Each cycle has agents called fronts execute m...

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Bibliographic Details
Main Author: Erik De Schutter
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-07-01
Series:Frontiers in Neuroinformatics
Subjects:
parallel algorithm
neural development
growth
migration
retraction
shared memory
Online Access:https://www.frontiersin.org/articles/10.3389/fninf.2023.1212384/full

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