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A mathematical framework is being used to investigate the learning dynamics induced by a class of biologically realistic synaptic plasticity rules in recurrently connected neuronal networks.
PyMVPA, a novel Python-based framework for multivariate pattern analysis, facilitates the application of statistical learning methods to neural data.
A new interface allows simulations to be run without modification in multiple software simulators and neuromorphic hardware, greatly simplifying translation and cross-validation of models.
| A Python interface to NEST » 16 December 2009 |
With PyNEST, stimulus generation, simulation and data analysis can be performed in a single programming language.
| Python in neuroscience » 20 July 2009 |
A widely used open-source programming language, Python is becoming the language of choice for neural data analysis and simulation.
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