examples:orchestrated_plasticity
Differences
This shows you the differences between two versions of the page.
Both sides previous revisionPrevious revisionNext revision | Previous revision | ||
examples:orchestrated_plasticity [2016/02/05 19:10] – [Orchestrated Plasticity] zenke | examples:orchestrated_plasticity [2016/06/16 17:02] (current) – Updates link zenke | ||
---|---|---|---|
Line 6: | Line 6: | ||
===== Getting the source | ===== Getting the source | ||
- | To run the orchestrated plasticity simulation as described in Figure 3 of the paper download or clone the pubsim | + | To run the orchestrated plasticity simulation as described in Figure 3 of the paper download or clone the pub2015orchestrated |
===== Running the code ===== | ===== Running the code ===== | ||
Line 26: | Line 26: | ||
===== Output files ===== | ===== Output files ===== | ||
- | The simulation will per default run on 4 cores locally, but this might change depending on your [[manual: | + | The simulation will per default run on 4 cores locally, but this might change depending on your [[manual: |
+ | |||
+ | ==== Phases of the simulation ==== | ||
+ | |||
+ | Overall the code runs in three distinct and phases which are run consecutively. | ||
+ | The network is initialized with random recurrent weights and spatially localized input weights as described in the paper. '' | ||
+ | |||
+ | The second phase is executed by '' | ||
+ | |||
+ | Finally, the simulation is continued with '' | ||
==== Updating rf1.pat to sort cells according to their preferred stimulus ==== | ==== Updating rf1.pat to sort cells according to their preferred stimulus ==== |
examples/orchestrated_plasticity.1454699454.txt.gz · Last modified: 2016/02/05 19:10 by zenke