diffusion_connection - Synapse type for instantaneous rate connectionsDescription:
between neurons of type siegert_neuron.
diffusion_connection is a connector to createTransmits:
instantaneous connections between neurons of type siegert_neuron. The
connection type is identical to type rate_connection_instantaneous
for instantaneous rate connections except for the two parameters
drift_factor and diffusion_factor substituting the parameter weight.
These two factor origin from the mean-field reduction of networks of
leaky-integrate-and-fire neurons. In this reduction the input to the
neurons is characterized by its mean and its variance. The mean is
obtained by a sum over presynaptic activities (e.g as in eq.28 in
), where each term of the sum consists of the presynaptic activity
multiplied with the drift_factor. Similarly, the variance is obtained
by a sum over presynaptic activities (e.g as in eq.29 in ), where
each term of the sum consists of the presynaptic activity multiplied
with the diffusion_factor. Note that in general the drift and
diffusion factors might differ from the ones given in eq. 28 and 29.,
for example in case of a reduction on the single neuron level or in
case of distributed in-degrees (see discussion in chapter 5.2 of )
The values of the parameters delay and weight are ignored for
connections of this type.
 Hahne, J., Dahmen, D., Schuecker, J., Frommer, A.,
Bolten, M., Helias, M. and Diesmann, M. (2017).
Integration of Continuous-Time Dynamics in a
Spiking Neural Network Simulator.
Front. Neuroinform. 11:34. doi: 10.3389/fninf.2017.00034
David Dahmen, Jan Hahne, Jannis SchueckerSeeAlso: