BoB robotics
The Brains on Board robotics library
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BoBRobotics::GeNNModels::AdExp Class Reference

Adaptive exponential - solved using RK4. More...

#include <adexp.h>

Inheritance diagram for BoBRobotics::GeNNModels::AdExp:

Public Member Functions

 DECLARE_MODEL (AdExp, 11, 2)
 
 SET_SIM_CODE ("#define DV(V, W) (1.0 / $(c)) * ((-$(gL) * ((V) - $(eL))) + ($(gL) * $(deltaT) * exp(((V) - $(vThresh)) / $(deltaT))) + i - (W))\n" "#define DW(V, W) (1.0 / $(tauW)) * (($(a) * (V - $(eL))) - W)\n" "const scalar i = $(Isyn) + $(iOffset);\n" "// If voltage is above artificial spike height\n" "if($(V) >= $(vSpike)) {\n" " $(V) = $(vReset);\n" "}\n" "// Calculate RK4 terms\n" "const scalar v1 = DV($(V), $(W));\n" "const scalar w1 = DW($(V), $(W));\n" "const scalar v2 = DV($(V) + (DT * 0.5 * v1), $(W) + (DT * 0.5 * w1));\n" "const scalar w2 = DW($(V) + (DT * 0.5 * v1), $(W) + (DT * 0.5 * w1));\n" "const scalar v3 = DV($(V) + (DT * 0.5 * v2), $(W) + (DT * 0.5 * w2));\n" "const scalar w3 = DW($(V) + (DT * 0.5 * v2), $(W) + (DT * 0.5 * w2));\n" "const scalar v4 = DV($(V) + (DT * v3), $(W) + (DT * w3));\n" "const scalar w4 = DW($(V) + (DT * v3), $(W) + (DT * w3));\n" "// Update V\n" "$(V) += (DT / 6.0) * (v1 + (2.0f * (v2 + v3)) + v4);\n" "// If we're not above peak, update w\n" "// **NOTE** it's not safe to do this at peak as wn may well be huge\n" "if($(V) <= -40.0) {\n" " $(W) += (DT / 6.0) * (w1 + (2.0 * (w2 + w3)) + w4);\n" "}\n")
 
 SET_THRESHOLD_CONDITION_CODE ("$(V) > -40")
 
 SET_RESET_CODE ("// **NOTE** we reset v to arbitrary plotting peak rather than to actual reset voltage\n" "$(V) = $(vSpike);\n" "$(W) += ($(b) * 1000.0);")
 
 SET_PARAM_NAMES ({ "c", "gL", "eL", "deltaT", "vThresh", "vSpike", "vReset", "tauW", "a", "b", "iOffset", })
 
 SET_VARS ({{"V", "scalar"}, {"W", "scalar"}})
 

Detailed Description

Adaptive exponential - solved using RK4.

The documentation for this class was generated from the following file: