Command: mip_generator



[1] Alexandre Kuhn Ad Aertsen Stefan Rotter
Higher-Order Statistics of Input Ensembles and the Response of Simple
Model Neurons
Neural Computation 15 67-101 (2003)


The mip_generator generates correlated spike trains using an Multiple Interaction
Process (MIP) as described in [1]. Underlying principle is a Poisson mother process
with rate r the spikes of which are copied into the child processes with a certain
probability p. Every node the mip_generator is connected to receives a distinct
child process as input whose rate is p*r. The value of the pairwise correlation
coefficient of two child processes created by a MIP process equals p.


The following parameters appear in the element's status dictionary:

rate double - Mean firing rate of the mother process in Hz
p_copy double - Copy probability
mother_rng rng - Random number generator of mother process
mother_seed long - Seed of RNG of mother process

May 2006 Helias

The MIP generator may emit more than one spike through a child process
during a single time step especially at high rates. If this happens
the generator does not actually send out n spikes. Instead it emits
a single spike with n-fold synaptic weight for the sake of efficiency.
Furthermore note that as with the Poisson generator different threads
have their own copy of a MIP generator. By using the same mother_seed
it is ensured that the mother process is identical for each of the

IMPORTANT: The mother_seed of mpi_generator must be different from any
seeds used for the global or thread-specific RNGs set in
the kernel.