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Which model to use for cortical spiking neurons?
1The Neurosciences Institute, San Diego, CA 92121, USA. Eugene.Izhikevich@nsi.edu
IEEE Transactions on Neural Networks
|October 16, 2004
Summary
This study evaluates biological neuron models for large-scale brain simulations. We compare spiking and bursting neuron models for computational efficiency and applicability in neural networks.
Area of Science:
- Computational neuroscience
- Neural network modeling
Background:
- Spiking and bursting neuron models are crucial for simulating neural activity.
- Understanding their biological plausibility and computational demands is essential for large-scale network simulations.
Purpose of the Study:
- To assess the biological plausibility of prominent spiking and bursting neuron models.
- To compare the computational efficiency of these models for large-scale simulations.
Main Methods:
- Review and analysis of established spiking and bursting neuron models.
- Comparative evaluation of model performance in simulated cortical neural networks.
Main Results:
- Identified key trade-offs between biological realism and computational cost for different models.
- Determined the suitability of specific models for large-scale cortical network simulations based on efficiency.
Conclusions:
- Certain neuron models offer superior biological plausibility and computational efficiency for large-scale simulations.
- Model selection critically impacts the feasibility and accuracy of simulating complex neural systems.