Differences

This shows you the differences between two versions of the page.

--- tutorials:writing_your_own_plasticity_model [2016/08/18 16:54] – [Synaptic traces] zenke
+++ tutorials:writing_your_own_plasticity_model [2016/08/18 16:56] – [Changing the plasticity model] zenke
@@ Line 171: / Line 171: @@
 ===== Changing the plasticity model =====
-Suppose, you would like to change the plasticity model, all you need to do is to copy TripletConnection.h and TripletConnection.cpp to YourNameConnection.h and .cpp and then the ''dw_pre'' and ''dw_post'' would be the first places start to change things. Of course you can declare new parameters in the header of the Connection object and either directly set them from the main program, hard code them m( or access them via a bunch of getters or setters. Moreover, in many cases it might be important for you to redefine ''dw_pre'' and ''dw_post'' altogether. For instance if you would like to implement a weight dependence, you will need to include our above ''*weight'' variable into the parameter list of these functions. Similarly, you might want to access the postsynaptic membrane voltage through ''dst->get_mem(NeuronID id)'' and pass it to you ''dw'' functions ... I will let you experiment and hope that I will have the time to include some more examples here soon.
+Most of the plasticity models in Auryn follow the design principles introduced above (e.g. http://www.fzenke.net/auryn/doxygen/current/classauryn_1_1STDPConnection.html). Suppose, you would like to change the plasticity model, all you need to do is to copy TripletConnection.h and TripletConnection.cpp to YourNameConnection.h and .cpp and then the ''dw_pre'' and ''dw_post'' would be the first places start to change things. Of course you can declare new parameters in the header of the Connection object and either directly set them from the main program, hard code them m( or access them via a bunch of getters or setters. Moreover, in many cases it might be important for you to redefine ''dw_pre'' and ''dw_post'' altogether. For instance if you would like to implement a weight dependence, you will need to include our above ''*weight'' variable into the parameter list of these functions. Similarly, you might want to access the postsynaptic membrane voltage through ''dst->get_mem(NeuronID id)'' and pass it to you ''dw'' functions ... I will let you experiment and hope that I will have the time to include some more examples here soon.