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15 January 2020

Neuron_Reduce - a brand new tool to simplify complex neuron models

Detailed neuron models consisting of thousands of synapses are key for understanding the computational properties of single neurons and large neuronal networks, and for interpreting experimental results. Simulations of these models are however, computationally expensive (using lots of computing hours), which considerably decreases their utility. For the first time, Scientists at the Hebrew University of Jerusalem and the EPFL Blue Brain Project have formulated a unique analytical approach to the challenge of reducing the complexity of neuron models while retaining their key input/output functions and their computational capabilities. ‘Neuron_Reduce’ is a new computational tool that provides the scientific community with a straightforward capability to simplify complex neuron models of any cell type and still faithfully preserve its input-output properties while significantly reducing simulation run-time.

20 December 2019

CoreNEURON – helping to deliver science sooner

In order to improve performance and benefit from new computing architectures the EPFL Blue Brain Project has isolated the core functionalities of the NEURON simulator and optimized them into a new simulator engine CoreNEURON. In a paper published in Frontiers in Neuroinformatics, the Blue Brain explains how CoreNEURON helps existing NEURON users to simulate their models faster, better utilize computing resources and ultimately help to deliver science sooner. 

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