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Topographica is a simulator for large-scale neural models, with special support for neurons organized into topographic maps and for modelling activity-dependent development. A typical Topographica model will cover a complete pathway from the sensory periphery to regions in the cortex, modelling at least several square millimeters of cortical tissue. To make working at this scale practical, Topographica groups neurons into Sheets, which each typically correspond to a large subpopulation of cells organized in two dimensions across the surface of a neural area. Using this abstraction, Topographica can implement a very large variety of possible models with relatively little coding and thus provides a platform for understanding properties that emerge only when large numbers of neurons are interconnected. The Topographica project also provides reusable, general-purpose components for other scientific...
References
Bednar JA (2009) Topographica: building and analyzing map-level simulations from Python, C/C++, MATLAB, NEST, or NEURON components. Front Neuroinform 3:8
Bednar JA, Kelkar A, Miikkulainen R (2004) Scaling self-organizing maps to model large cortical networks. Neuroinformatics 2:275–302
Further Reading
Miikkulainen R, Bednar JA, Choe Y, Sirosh J (2005) Computational maps in the visual cortex. Springer, Berlin
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© 2013 Springer Science+Business Media New York
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Bednar, J.A. (2013). Topographica. In: Jaeger, D., Jung, R. (eds) Encyclopedia of Computational Neuroscience. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-7320-6_263-5
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DOI: https://doi.org/10.1007/978-1-4614-7320-6_263-5
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