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

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.

PMID: 28362877
PMCID: PMC5393895
Funding: - Wellcome Trust: 101896 - European Research Council: 323113-NETSIGNAL - Seventh Framework Programme: 606950 EXTRABRAIN - Russian Science Foundation: 15-14-30000

Documentation

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