rate_transformer_node


Name:
rate_transformer_node - Rate neuron that sums up incoming rates  
and applies a nonlinearity specified via the template.
Description:
 

The rate transformer node simply applies the nonlinearity specified in the
input-function of the template class to all incoming inputs. The boolean
parameter linear_summation determines whether the input function is applied to
the summed up incoming connections (True, default value) or to each input
individually (False).
An important application is to provide the possibility to
apply different nonlinearities to different incoming connections of the
same rate neuron by connecting the sending rate neurons to the
rate transformer node and connecting the rate transformer node to the
receiving rate neuron instead of using a direct connection.
Please note that for instantaneous rate connections the rate arrives
one time step later at the receiving rate neurons as with a direct connection.

Parameters:
 
Only the parameter linear_summation and the parameters from the
class Nonlinearities can be set in the status dictionary.

Receives:
InstantaneousRateConnectionEvent, DelayedRateConnectionEvent  

Sends:
InstantaneousRateConnectionEvent, DelayedRateConnectionEvent  

Remarks:
 

- Weights on connections from and to the rate_transformer_node
are handled as usual.
- Delays are honored on incoming and outgoing connections.

Author:
Mario Senden, Jan Hahne, Jannis Schuecker  
FirstVersion:
November 2017 
Source:
/home/graber/work-nest/nest-git/nest-simulator/models/rate_transformer_node.h