good params for every example with updated, actually good params (exc…

…ept boa)
emer · Apr 5, 2024 · b2ddd6f · b2ddd6f
1 parent ba45c5b
commit b2ddd6f
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Showing 54 changed files with 2,264 additions and 1,523 deletions.
diff --git a/axon/pvlv_layers.go b/axon/pvlv_layers.go
@@ -178,7 +178,8 @@ func (ly *Layer) BLADefaults() {
 	lp.CT.DecayTau = 0
 	lp.CT.GeGain = 0.1 // 0.1 has effect, can go a bit lower if need to
 
-	lp.Learn.NeuroMod.DAModGain = 0.5
+	// has been 0:
+	// lp.Learn.NeuroMod.DAModGain = 0.5
 	if isAcq {
 		lp.Learn.NeuroMod.DALRateMod = 0.5
 		lp.Learn.NeuroMod.BurstGain = 0.2

diff --git a/examples/bench_lvis/bench_lvis.go b/examples/bench_lvis/bench_lvis.go
@@ -104,13 +104,13 @@ func ConfigNet(ctx *axon.Context, net *axon.Network, inputNeurs, inputPools, pat
 		v4[pi] = net.AddLayer4D("V4_"+pnm, v4Pools, v4Pools, hiddenNeurs, hiddenNeurs, axon.SuperLayer)
 		te[pi] = net.AddLayer2D("TE_"+pnm, teNeurs, teNeurs, axon.SuperLayer)
 
-		v1[pi].SetClass("V1m")
-		v2[pi].SetClass("V2m V2")
-		v4[pi].SetClass("V4")
+		v1[pi].AddClass("V1m")
+		v2[pi].AddClass("V2m V2")
+		v4[pi].AddClass("V4")
 
 		net.ConnectLayers(v1[pi], v2[pi], Prjn4x4Skp2, axon.ForwardPrjn)
 		net.BidirConnectLayers(v2[pi], v4[pi], Prjn4x4Skp2)
-		net.ConnectLayers(v1[pi], v4[pi], sparseRandom, axon.ForwardPrjn).SetClass("V1SC")
+		net.ConnectLayers(v1[pi], v4[pi], sparseRandom, axon.ForwardPrjn).AddClass("V1SC")
 		net.BidirConnectLayers(v4[pi], te[pi], full)
 		net.BidirConnectLayers(te[pi], outLay, full)
 	}

diff --git a/examples/boa/params.go b/examples/boa/params.go
@@ -23,8 +23,8 @@ var ParamSets = netparams.Sets{
 			}},
 		{Sel: ".PTMaintLayer", Desc: "time integration params",
 			Params: params.Params{
-				"Layer.Inhib.Layer.Gi":             "2.4",
-				"Layer.Inhib.Pool.Gi":              "2.4",
+				// "Layer.Inhib.Layer.Gi":             "2.4",
+				// "Layer.Inhib.Pool.Gi":              "2.4",
 				"Layer.Acts.Dend.ModGain":          "1.5", // 2 min -- reduces maint early
 				"Layer.Learn.NeuroMod.AChDisInhib": "0.0", // not much effect here..
 			}},
@@ -46,29 +46,29 @@ var ParamSets = netparams.Sets{
 		{Sel: "#OFCposUSPT", Desc: "",
 			Params: params.Params{
 				"Layer.Inhib.ActAvg.Nominal": "0.2",
-				"Layer.Inhib.Pool.Gi":        "3.0",
+				// "Layer.Inhib.Pool.Gi":        "0.5",
 			}},
 		{Sel: "#OFCposUSPTp", Desc: "",
 			Params: params.Params{
-				"Layer.Inhib.Pool.Gi": "1.4",
+				"Layer.Inhib.Pool.Gi": "1.0",
 			}},
 		{Sel: "#OFCnegUS", Desc: "",
 			Params: params.Params{
 				"Layer.Inhib.ActAvg.Nominal": "0.1",
-				"Layer.Inhib.Layer.Gi":       "1.2", // weaker in general so needs to be lower
+				// "Layer.Inhib.Layer.Gi":       "0.5", // weaker in general so needs to be lower
 			}},
 		{Sel: "#OFCnegUSPT", Desc: "",
 			Params: params.Params{
 				"Layer.Inhib.ActAvg.Nominal": "0.2",
-				"Layer.Inhib.Pool.Gi":        "3.0",
+				// "Layer.Inhib.Pool.Gi":        "3.0",
 			}},
 		{Sel: "#OFCnegUSPTp", Desc: "",
 			Params: params.Params{
-				"Layer.Inhib.Pool.Gi": "1.4",
+				// "Layer.Inhib.Pool.Gi": "1.4",
 			}},
 		{Sel: "#ILpos", Desc: "",
 			Params: params.Params{
-				"Layer.Inhib.Pool.Gi": "1",
+				// "Layer.Inhib.Pool.Gi": "1",
 			}},
 		{Sel: ".VSMatrixLayer", Desc: "vs mtx",
 			Params: params.Params{
@@ -128,11 +128,11 @@ var ParamSets = netparams.Sets{
 			Params: params.Params{
 				"Prjn.PrjnScale.Abs": "1", // todo: try 3?
 			}},
-		{Sel: ".PTSelfMaint", Desc: "",
-			Params: params.Params{
-				"Prjn.PrjnScale.Abs":    "4",
-				"Prjn.Learn.LRate.Base": "0.0001", // this is not a problem
-			}},
+		// {Sel: ".PTSelfMaint", Desc: "",
+		// 	Params: params.Params{
+		// 		"Prjn.PrjnScale.Abs":    "4",
+		// 		"Prjn.Learn.LRate.Base": "0.0001", // this is not a problem
+		// 	}},
 		{Sel: ".ToPTp", Desc: "",
 			Params: params.Params{
 				"Prjn.PrjnScale.Abs": "4",

diff --git a/examples/boa/params_good/params.toml b/examples/boa/params_good/params.toml
@@ -15,8 +15,6 @@
   Desc = "time integration params"
   [Base.Params]
     "Layer.Acts.Dend.ModGain" = "1.5"
-    "Layer.Inhib.Layer.Gi" = "2.4"
-    "Layer.Inhib.Pool.Gi" = "2.4"
     "Layer.Learn.NeuroMod.AChDisInhib" = "0.0"
 
 [[Base]]
@@ -45,39 +43,34 @@
   Desc = ""
   [Base.Params]
     "Layer.Inhib.ActAvg.Nominal" = "0.2"
-    "Layer.Inhib.Pool.Gi" = "3.0"
 
 [[Base]]
   Sel = "#OFCposUSPTp"
   Desc = ""
   [Base.Params]
-    "Layer.Inhib.Pool.Gi" = "1.4"
+    "Layer.Inhib.Pool.Gi" = "1.0"
 
 [[Base]]
   Sel = "#OFCnegUS"
   Desc = ""
   [Base.Params]
     "Layer.Inhib.ActAvg.Nominal" = "0.1"
-    "Layer.Inhib.Layer.Gi" = "1.2"
 
 [[Base]]
   Sel = "#OFCnegUSPT"
   Desc = ""
   [Base.Params]
     "Layer.Inhib.ActAvg.Nominal" = "0.2"
-    "Layer.Inhib.Pool.Gi" = "3.0"
 
 [[Base]]
   Sel = "#OFCnegUSPTp"
   Desc = ""
   [Base.Params]
-    "Layer.Inhib.Pool.Gi" = "1.4"
 
 [[Base]]
   Sel = "#ILpos"
   Desc = ""
   [Base.Params]
-    "Layer.Inhib.Pool.Gi" = "1"
 
 [[Base]]
   Sel = ".VSMatrixLayer"
@@ -157,13 +150,6 @@
   [Base.Params]
     "Prjn.PrjnScale.Abs" = "1"
 
-[[Base]]
-  Sel = ".PTSelfMaint"
-  Desc = ""
-  [Base.Params]
-    "Prjn.Learn.LRate.Base" = "0.0001"
-    "Prjn.PrjnScale.Abs" = "4"
-
 [[Base]]
   Sel = ".ToPTp"
   Desc = ""