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Brain building 101: advances in large-scale neural simulation »

Chris Eliasmith

The construction of the world's largest functional brain model and large-scale, real-time hardware simulations rely on the same mathematical and neuromorphic methods.
 
NEURDON

Massimiliano Versace

Epiphany, the Adapteva multicore processor, has been designed with the primary goal of accelerating applications in low-power devices such as smartphones and tablets, but also servers (in particular, to reduce monstrous power demands of large servers)...

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.
 
Advancing neuroimaging research with predictive multivariate pattern analysis »

Yaroslav O. Halchenko and Michael Hanke

PyMVPA, a novel Python-based framework for multivariate pattern analysis, facilitates the application of statistical learning methods to neural data.
 
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.
 




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