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Analyzing spike-timing-dependent plasticity in recurrent neuronal networks »

Matthieu Gilson, Anthony Burkitt, David Grayden, Doreen Thomas, and Leo van Hemmen

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.
 
 
A common language for neuronal networks in software and hardware »

Andrew Davison, Eilif Muller, Daniel BrĂ¼derle, and Jens Kremkow

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 »

Jochen Martin Eppler

With PyNEST, stimulus generation, simulation and data analysis can be performed in a single programming language.
 
 
Python in neuroscience »

Martin Spacek and Nicholas Swindale

A widely used open-source programming language, Python is becoming the language of choice for neural data analysis and simulation.
 
 
Brian: a simple and flexible simulator for spiking neural networks »

Romain Brette and Dan Goodman

New neural-simulation technology makes spiking neuron models more accessible to systems neuroscience and neuromorphic engineering.
 
 

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