NeuroMat has been involved in the development of what has been called the Galves-Löcherbach model, a model with intrinsic stochasticity for biological neural nets, in which the probability of a future spike depends on the evolution of the complete system since the last spike.[1] This model of spiking neurons was developed by mathematicians Antonio Galves and Eva Löcherbach. In the first article on the model, in 2013, they called it a model of a "system with interacting stochastic chains with memory of variable length.
See also
Among the current large-scale international brain initiatives: