ARACHNE
ARACHNE simulates complex neuronal and astroglial networks using the NEURON simulation environment to enable computational studies of neural circuitry and extracellular volume-transmission.
Key Features:
- Integration with NEURON library: Integrates with the NEURON simulation environment to adopt realistic cell models for simulations.
- Support for neuronal and astroglial networks: Supports simulation of both neuronal (wired) and astroglial (extracellular volume-transmission driven) networks.
- Modular network construction: Provides a modular approach for constructing networks by selecting biophysical parameters and structural configurations.
- Remote computational kernel: Can connect to an optimized remote computational kernel hosted on a compute cluster for high-performance simulations.
- Versatility in network modeling: Allows combination of different network types and modeling of networks of arbitrary complexity.
- Performance optimization: Optimized for efficient execution of complex models.
Scientific Applications:
- Neuroscience research: Simulation of realistic neural network models to investigate brain function and dysfunction.
- Network optimization studies: Optimization and comparison of network configurations to assess effects of architectural arrangements on network behavior.
- Neuron–astrocyte interaction studies: Modeling interactions between neuronal and astroglial components, including extracellular volume-transmission.
- Educational purposes: Use in teaching computational neuroscience concepts via simulated networks.
Methodology:
Integrates with the NEURON library and uses a modular approach of selecting biophysical parameters and structural configurations, with optional offloading to an optimized remote computational kernel for simulation of neuronal (wired) and astroglial (extracellular volume-transmission driven) networks.
Topics
Details
- License:
- MIT
- Maturity:
- Mature
- Cost:
- Free of charge
- Tool Type:
- desktop application
- Operating Systems:
- Linux, Windows
- Programming Languages:
- C++
- Added:
- 7/9/2018
- Last Updated:
- 11/25/2024
Operations
Data Inputs & Outputs
Network simulation
Publications
Aleksin SG, Zheng K, Rusakov DA, Savtchenko LP. ARACHNE: A neural-neuroglial network builder with remotely controlled parallel computing. PLOS Computational Biology. 2017;13(3):e1005467. doi:10.1371/journal.pcbi.1005467. PMID:28362877. PMCID:PMC5393895.
Documentation
Downloads
- Source codehttps://github.com/LeonidSavtchenko/Arachne