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  • Open Access

Exploring the limitations of simulator independence via an implementation of a biophysically detailed cerebellar cortex model in NEURON and NEST

BMC Neuroscience201314 (Suppl 1) :P93

  • Published:


  • Cerebellar Cortex
  • Spike Timing
  • Spike Propagation
  • Computational Neuroscience
  • Custom Extension

The ability to develop models of complex neural networks in a simulator independent manner has been a longstanding goal of the computational neuroscience community [1, 2]. One of several important reasons behind this is because the effect of subtle differences in simulator implementations, the timing of spike propagation for example [3], on the qualitative behavior of networks with complex neuronal models is unclear a priori. In addition, the relevance of constraints placed on model design by fundamental assumptions in the simulator architecture and features that are not available in all simulators, such as gap junctions and active dendritic compartments, has not been extensively studied. To begin to address such issues, we investigate differences between NEURON [4] and NEST [5] simulations of a biophysically detailed model of the cerebellar cortex.

Following the approach outlined in [6], the cerebellar cortex model is defined using a custom declarative architecture, which is based on NineML [1] and NeuroML 2.0 [7] where possible, and otherwise extended to meet the requirements of the model. Neuronal dynamics are described using a custom extension to the NineML language for conductance-based dynamics, which is compiled directly into simulator-native model formats [8]. Connections between neuronal populations within the model are generated from a combination of morphologically based [9] and soma-to-soma geometric connectivity rules. These rules are integrated into PyNN framework [10], which handles the appropriate simulator-dependent connection routines.

There are a number of factors that make the cerebellar cortex a good test case to study the effect of simulator disparities. The cerebellar cortex is strongly hypothesized to be involved in the fine-tuning of movement [11], and is therefore likely to be sensitive to spike timing. Also, in previous modeling, the behavior of the granular layer sub-network has been shown to be strongly affected by the Golgi-to-Golgi gap junctions [12], making the cerebellar cortex an interesting system in which to study the implications of different implementations of gap junction connections. Therefore, the differences between the NEURON and NEST implementations of the cerebellar cortex model should lend considerable insight into the practical issues that could limit the development of truly simulator independent models.

Authors’ Affiliations

Computational Neuroscience Unit, Okinawa Institute of Science and Technology, Okinawa 904-0413, Japan
University of Antwerp, Antwerp, 2000, Belgium


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© Close et al; licensee BioMed Central Ltd. 2013

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.