Abstract
When simulating networks of several hundred interconnected neurons using realistic neuron models, tools are needed for handling the specification of all parameters involved. We have designed a specification language for this purpose. A simulation environment based on this language has been implemented, including tools for running the actual simulations on either a Unix workstation, a CRAY supercomputer, or a Connection Machine (CM, a massively parallel supercomputer). On a CM with 8192 processors the program is typically capable of handling some tens of thousands of neurons and millions of synapses. The SWIM simulation environment has been used to simulate experimentally verified networks (CPG in lamprey spinal cord) as well as for explorative experiments relating to attractor models of cortical associative memory.
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Ekeberg, Ö., Hammarlund, P., Levin, B., Lansner, A. (1994). SWIM — A Simulation Environment for Realistic Neural Network Modeling. In: Skrzypek, J. (eds) Neural Network Simulation Environments. The Kluwer International Series in Engineering and Computer Science, vol 254. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-2736-7_3
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DOI: https://doi.org/10.1007/978-1-4615-2736-7_3
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