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  • Poster Presentation
  • Open Access

Realtime tuning and verification of compartmental cell models using RTXI and GENESIS

BMC Neuroscience201011 (Suppl 1) :P68

  • Published:


  • SImulation System
  • Event Delivery
  • Model Publication
  • Modular Construction
  • Open Developer

The GEneral NEural SImulation System (GENESIS) has recently been reconfigured to resolve problems resulting from the rapidly increasing complexity of neural modeling software. Modularization of GENESIS according to the Computational Biology Initiative (CBI–[1]) functional software architecture has provided important advantages by facilitating the easy integration of new simulator functionality while maintaining an open developer community. The complexity of individual software modules is greatly reduced from that of a complete simulation system, documentation is simplified when modules are independent, they can be more easily tested, added or removed, and the scope of a new module is clearly delineated. Unlike GENESIS versions 1 and 2, the modular construction of GENESIS-3 (G-3) is designed to greatly facilitate the development of new tools to support simulation-based education, collaboration, and model publication.

The Real-Time eXperimental Interface (RTXI) is a mature modular dynamic clamp implementation growing out of previous work by Butera [2] and White [3] for hard realtime (RT) data acquisition. RTXI is modular to the extent that user-supplied function-specific code models can be combined to build custom experimental protocols and interfaces. RTXI provides an event delivery system that allows these plug-ins to signal the occurrence of user-defined events amongst themselves as required.

We report on our efforts to interface G-3 with RTXI to develop an integrated software platform. This platform will greatly increase the power of dynamic clamp technology and in return deliver RT quantification and ’tuning’ of the parameters of cell and tissue models. Figure 1.

Figure 1



This research was supported by a NSF grant (HRD-0932339) to the University of Texas at San Antonio.

Authors’ Affiliations

Department of Epidemiology and Biostatistics, University of Texas Health Sciences Center at San Antonio, San Antonio, TX 78229, USA
Research Imaging Institute, University of Texas Health Sciences Center at San Antonio, San Antonio, TX 78229, USA


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© Cornelis and Coop; licensee BioMed Central Ltd. 2010

This article is published under license to BioMed Central Ltd.