Find models by
Find models for
Find models of
A Method for Prediction of Receptor Activation in the Simulation of Synapses (Montes et al. 2013)
Download zip file
Help downloading and running models
A machine-learning based method that can accurately predict relevant aspects of the behavior of synapses, such as the activation of synaptic receptors, at very low computational cost. The method is designed to learn patterns and general principles from previous Monte Carlo simulations and to predict synapse behavior from them. The resulting procedure is accurate, automatic and can predict synapse behavior under experimental conditions that are different to the ones used during the learning phase. Since our method efficiently reduces the computational costs, it is suitable for the simulation of the vast number of synapses that occur in the mammalian brain.
Montes J, Gomez E, Merchán-Pérez A, Defelipe J, Peña JM (2013) A machine learning method for the prediction of receptor activation in the simulation of synapses.
(Click on a link to find other models with that property)
Montes, Jesus [jmontes at cesvima.upm.es];
for information about:
File not selected
<- Select file from this column.