Added assembly definitions

Editor/Neuron_Drawer.cs

@@ -0,0 +1,85 @@
+using UnityEngine;
+using UnityEditor;
+using Unity.Mathematics;
+using System;
+using System.Reflection;
+using System.Collections;
+
+namespace NanoBrain.Unity {
+
+    [CustomPropertyDrawer(typeof(Neuron))]
+    class Neuron_Drawer : PropertyDrawer {
+        public static void Insepctor(SerializedObject serializedObject, string propertyName ) {
+            EditorGUILayout.PropertyField(serializedObject.FindProperty(propertyName));
+        }
+
+        public override void OnGUI(Rect position, SerializedProperty property, GUIContent label) {
+            // Draw foldout + properties
+            label = EditorGUI.BeginProperty(position, label, property);
+
+            // Begin indent block
+            int indent = EditorGUI.indentLevel;
+            EditorGUI.indentLevel = 0;
+
+            object instance = GetTargetObjectOfProperty(property);
+
+            float lineHeight = EditorGUIUtility.singleLineHeight;
+            Rect r = new(position.x, position.y, position.width, lineHeight);
+            if (instance != null) {
+                FieldInfo field = typeof(Neuron).GetField("_outputValue", BindingFlags.NonPublic | BindingFlags.Instance);
+                if (field != null) {
+                    float3 val = (float3)field.GetValue(instance);
+                    EditorGUI.Vector3Field(r, $"Neuron: {label}", val);
+                }
+            }
+
+            EditorGUI.indentLevel = indent;
+            EditorGUI.EndProperty();
+        }
+
+        public override float GetPropertyHeight(SerializedProperty property, GUIContent label) {
+            // height for 1 line
+            return (EditorGUIUtility.singleLineHeight * 1) + (EditorGUIUtility.standardVerticalSpacing * 0);
+        }
+
+        public static object GetTargetObjectOfProperty(SerializedProperty prop) {
+            var path = prop.propertyPath.Replace(".Array.data[", "[");
+            object obj = prop.serializedObject.targetObject;
+            var elements = path.Split('.');
+            foreach (var element in elements) {
+                if (element.Contains("[")) {
+                    var elementName = element.Substring(0, element.IndexOf("["));
+                    var index = Convert.ToInt32(element.Substring(element.IndexOf("[")).Replace("[", "").Replace("]", ""));
+                    obj = GetValue_Imp(obj, elementName, index);
+                }
+                else {
+                    obj = GetValue_Imp(obj, element);
+                }
+            }
+            return obj;
+        }
+
+        static object GetValue_Imp(object source, string name) {
+            if (source == null)
+                return null;
+
+            Type t = source.GetType();
+            FieldInfo f = t.GetField(name, BindingFlags.NonPublic | BindingFlags.Public | BindingFlags.Instance);
+            if (f != null)
+                return f.GetValue(source);
+            PropertyInfo p = t.GetProperty(name, BindingFlags.NonPublic | BindingFlags.Public | BindingFlags.Instance);
+            return p?.GetValue(source, null);
+        }
+        static object GetValue_Imp(object source, string name, int index) {
+            if (GetValue_Imp(source, name) is not IEnumerable enumerable)
+                return null;
+            IEnumerator en = enumerable.GetEnumerator();
+            for (int i = 0; i <= index; i++) {
+                if (!en.MoveNext())
+                    return null;
+            }
+            return en.Current;
+        }
+    }
+    
+}

Editor/Neuron_Drawer.cs.meta

@@ -0,0 +1,2 @@
+fileFormatVersion: 2
+guid: ecce20d60829feced84788f7f9dcfe08

Editor/Passer.NanoBrain.Editor.asmdef

@@ -0,0 +1,17 @@
+{
+    "name": "Passer.NanoBrain.Editor",
+    "rootNamespace": "",
+    "references": [
+        "NanoBrain",
+        "Unity.Mathematics"
+    ],
+    "includePlatforms": [],
+    "excludePlatforms": [],
+    "allowUnsafeCode": false,
+    "overrideReferences": false,
+    "precompiledReferences": [],
+    "autoReferenced": true,
+    "defineConstraints": [],
+    "versionDefines": [],
+    "noEngineReferences": false
+}

Editor/Passer.NanoBrain.Editor.asmdef.meta

@@ -1,7 +1,6 @@
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Runtime/Passer.NanoBrain.asmdef

@@ -0,0 +1,16 @@
+{
+    "name": "NanoBrain",
+    "rootNamespace": "",
+    "references": [
+        "Unity.Mathematics"
+    ],
+    "includePlatforms": [],
+    "excludePlatforms": [],
+    "allowUnsafeCode": false,
+    "overrideReferences": false,
+    "precompiledReferences": [],
+    "autoReferenced": true,
+    "defineConstraints": [],
+    "versionDefines": [],
+    "noEngineReferences": false
+}

Runtime/Passer.NanoBrain.asmdef.meta

@@ -1,7 +1,6 @@
 fileFormatVersion: 2
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Runtime/Scripts/Core/Neuron.cs

@@ -401,7 +401,7 @@ namespace NanoBrain {
         /// <param name="synapses">The synapses of the neuron</param>
         /// <returns></returns>
         public static Vector3 CombinatorSum(Vector3 bias, List<Synapse> synapses) {
-            float3 sum = bias;
+            Vector3 sum = bias;
             foreach (Synapse synapse in synapses) {
                 synapse.neuron.SleepCheck();
                 sum += synapse.weight * synapse.neuron.outputValue;
@@ -416,10 +416,10 @@ namespace NanoBrain {
         /// <param name="synapses">The synapses of the neuron</param>
         /// <returns>The result of the multiplication</returns>
         public static Vector3 CombinatorProduct(Vector3 bias, List<Synapse> synapses) {
-            float3 product = bias;
+            Vector3 product = bias;
             foreach (Synapse synapse in synapses) {
                 synapse.neuron.SleepCheck();
-                product *= synapse.weight * synapse.neuron.outputValue;
+                product = Vector3.Scale(product, synapse.weight * synapse.neuron.outputValue);
             }
             return product;
         }

Samples/Braitenberg/Brains.meta

@@ -1,5 +1,5 @@
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Samples/Braitenberg/Brains/Braitenberg 1.asset

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Samples/Braitenberg/Scripts/Motor.cs

@@ -49,9 +49,6 @@ namespace NanoBrain.Unity.Braitenberg {
         /// Retrieve the motor neuron from the outputNeuronName;
         /// </summary>
         private void GetMotorNeuron() {
-            if (motorNeuron != null)
-                return;
-
             Vehicle vehicle = GetComponentInParent<Vehicle>();
             if (vehicle == null)
                 return;

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