Definition
PyNN is an application programming interface (API) for describing and simulating neuronal network models in the Python programming language. Numerical solution of the model equations is performed by a “backend” simulator, which as of PyNN version 0.7 can be any of NEURON (Hines and Carnevale 1997), NEST (Gewaltig and Diesmann 2007), Brian (Goodman and Brette 2008), or PCSIM (Pecevski et al. 2009). Alternatively, the backend can be a neuromorphic hardware system (Bruederle et al. 2009; Galluppi et al. 2010). PyNN thus provides a simulator-independent method for describing spiking neuronal network models. Data generated by the backend simulator is reformatted by PyNN into a standard format, and thus PyNN can also be used as a base platform on which to build simulator-independent data analysis and visualization tools.
Detailed Description
The PyNN API allows the construction and simulation of neuronal network models in a simulator-independent way, i.e., the same Python script...
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References
Bruederle D, Muller E, Davison A, Muller E, Schemmel J, Meier K (2009) Establishing a novel modeling tool: a python-based interface for a neuromorphic hardware system. Front Neuroinformatics 3:17
Davison AP, Hines M, Muller E (2009) Trends in programming languages for neuroscience simulations. Front Neurosci 3:3
Galluppi F, Rast A, Davies S, Furber S (2010) A general-purpose model translation system for a universal neural chip. In: Wong KW, Mendis BSU, Bouzerdoum A (eds) Neural information processing: theory and algorithms. Springer, Berlin/Heidelberg, pp 58–65
Gewaltig MO, Diesmann M (2007) NEST (NEural Simulation Tool). Scholarpedia 2:1430
Gleeson P, Crook S, Cannon RC, Hines ML, Billings GO, Farinella M, Morse TM, Davison AP, Ray S, Bhalla US, Barnes SR, Dimitrova YD, Silver RA (2010) NeuroML: a language for describing data driven models of neurons and networks with a high degree of biological detail. PLoS Comput Biol 6:e1000815
Goodman D, Brette R (2008) Brian: a simulator for spiking neural networks in Python. Front Neuroinformatics 2
Hines ML, Carnevale NT (1997) The NEURON simulation environment. Neural Comput 9:1179–1209
Pecevski D, Natschläger T, Schuch K (2009) PCSIM: a parallel simulation environment for neural circuits fully integrated with Python. Front Neuroinformatics 3:11
Further Reading
Davison AP, Brüderle D, Eppler JM, Kremkow J, Muller E, Pecevski DA, Perrinet L, Yger P (2009) PyNN: a common interface for neuronal network simulators. Front Neuroinformatics 2:11
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Davison, A. (2013). PyNN: A Python API for Neural Network Modeling. In: Jaeger, D., Jung, R. (eds) Encyclopedia of Computational Neuroscience. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-7320-6_261-4
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DOI: https://doi.org/10.1007/978-1-4614-7320-6_261-4
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PyNN: A Python API for Neural Network Modeling- Published:
- 09 May 2014
DOI: https://doi.org/10.1007/978-1-4614-7320-6_261-5
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PyNN: A Python API for Neural Network Modeling- Published:
- 13 February 2014
DOI: https://doi.org/10.1007/978-1-4614-7320-6_261-4