diff --git a/activation.go b/activation.go
index 5edbba8..c102bde 100644
--- a/activation.go
+++ b/activation.go
@@ -1,3 +1,5 @@
+// +build ignore
+
 package neat
 
 const (
diff --git a/activation_func.go b/activation_func.go
index c9a65b2..805d7fd 100644
--- a/activation_func.go
+++ b/activation_func.go
@@ -46,6 +46,16 @@ type ActivationFunc struct {
 	Fn   func(x float64) float64 `json:"-"`    // activation function
 }
 
+// Note from github/@jesuiscamille: adapted from activation.go
+func Linear() *ActivationFunc {
+	return &ActivationFunc{
+		Name: "linear",
+		Fn: func(x float64) float64 {
+			return x
+		},
+	}
+}
+
 // Identity returns the identity function as an activation
 // function. This function is only used for sensor nodes.
 func Identity() *ActivationFunc {
diff --git a/genome.go b/genome.go
index 7582d25..35b33b3 100644
--- a/genome.go
+++ b/genome.go
@@ -47,7 +47,13 @@ func (n *NodeGene) Copy() *NodeGene {
 
 // String returns a string representation of the node.
 func (n *NodeGene) String() string {
-	return fmt.Sprintf("[%s(%d, %s)]", n.Type, n.ID, n.Activation.Name)
+	// github/@jesuicamille: if Activation is <nil>, print N/A
+	switch n.Activation {
+	case nil:
+		return fmt.Sprintf("[%s(%d, %s)]", n.Type, n.ID, "N/A")
+	default:
+		return fmt.Sprintf("[%s(%d, %s)]", n.Type, n.ID, n.Activation.Name)
+	}
 }
 
 // ConnGene is an implementation of a connection between two nodes in the graph
@@ -293,10 +299,19 @@ func (g *Genome) pathExists(src, dst int) bool {
 	}
 
 	for _, edge := range g.ConnGenes {
-		if edge.From == src {
-			if g.pathExists(edge.To, dst) {
-				return true
+		// github/@jesuiscamille: didn't understood this part.
+		// github/@jesuiscamille: I just modified to check if edge.To == dst
+
+		/*
+			if edge.From == src {
+				if g.pathExists(edge.To, dst) {
+					return true
+				}
 			}
+		*/
+
+		if edge.From == src && edge.To == dst {
+			return true
 		}
 	}
 
diff --git a/genome_new.go b/genome_new.go
index 9f8ad65..9249ed3 100644
--- a/genome_new.go
+++ b/genome_new.go
@@ -1,3 +1,5 @@
+// +build ignore
+
 package neat
 
 import (
diff --git a/network.go b/network.go
index 65e9398..4fa0b91 100644
--- a/network.go
+++ b/network.go
@@ -4,8 +4,12 @@ type Network struct {
 	signals []float64
 }
 
-func NewNetwork(g *Genome) {
+// Note from github/@jesuiscamille: initially, there was no return value required,
+// but there was one returned in the code. I added the required return value
+// second note: *new([]float64) was originally make([]float64)
+func NewNetwork(g *Genome) *Network {
+	var signals []float64
 	return &Network{
-		signals: make([]float64),
+		signals: signals,
 	}
 }
diff --git a/neural_network.go b/neural_network.go
index 380b3f9..058e449 100644
--- a/neural_network.go
+++ b/neural_network.go
@@ -48,12 +48,35 @@ func NewNeuron(nodeGene *NodeGene) *Neuron {
 // String returns the string representation of Neuron.
 func (n *Neuron) String() string {
 	if len(n.Synapses) == 0 {
-		return fmt.Sprintf("[%s(%d, %s)]", n.Type, n.ID, n.Activation.Name)
+		// github/@jesuicamille: if Activation is <nil>, print N/A
+		switch n.Activation {
+		case nil:
+			return fmt.Sprintf("[%s(%d, %s)]", n.Type, n.ID, "N/A")
+		default:
+			return fmt.Sprintf("[%s(%d, %s)]", n.Type, n.ID, n.Activation.Name)
+		}
+	}
+
+	var str string
+
+	// github/@jesuicamille: if Activation is <nil>, print N/A
+	switch n.Activation {
+	case nil:
+		str = fmt.Sprintf("[%s(%d, %s)] (\n", n.Type, n.ID, "N/A")
+	default:
+		str = fmt.Sprintf("[%s(%d, %s)] (\n", n.Type, n.ID, n.Activation.Name)
 	}
-	str := fmt.Sprintf("[%s(%d, %s)] (\n", n.Type, n.ID, n.Activation.Name)
+
 	for neuron, weight := range n.Synapses {
-		str += fmt.Sprintf("  <--{%.3f}--[%s(%d, %s)]\n",
-			weight, neuron.Type, neuron.ID, neuron.Activation.Name)
+		// github/@jesuicamille: if Activation is <nil>, print N/A
+		switch neuron.Activation {
+		case nil:
+			str += fmt.Sprintf("  <--{%.3f}--[%s(%d, %s)]\n",
+				weight, neuron.Type, neuron.ID, "N/A")
+		default:
+			str += fmt.Sprintf("  <--{%.3f}--[%s(%d, %s)]\n",
+				weight, neuron.Type, neuron.ID, neuron.Activation.Name)
+		}
 	}
 	return str + ")"
 }