diff --git a/Demo/DemoConsoleApp/SM/SMDemoSettings.xml b/Demo/DemoConsoleApp/SM/SMDemoSettings.xml
index 9419b04..889a176 100644
--- a/Demo/DemoConsoleApp/SM/SMDemoSettings.xml
+++ b/Demo/DemoConsoleApp/SM/SMDemoSettings.xml
@@ -1,6 +1,7 @@
 <?xml version="1.0" encoding="UTF-8"?>
 <demo dataFolder=".\\Data" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:noNamespaceSchemaLocation="SMDemoSettings.xsd">
 
+
   <!--
     Here StateMachine achieves 80.77% accuracy. It is a bit worse than the best accuracy 81.4% achieved by the algorithm
     called COTE referenced at the dataset's home site:
@@ -131,7 +132,6 @@
     </stateMachine>
   </case>
 
-
   <!--
     This demo case demonstrates successful use of the pure analog ESN reservoir for the fast and accurate classifications enabled by
     the new ability of the analog neurons to fire a spike, input resampling and transformation. 
@@ -258,10 +258,15 @@
     </stateMachine>
   </case>
 
+
   <!--
-    This demo case demonstrates use of transformed input field together with a simple ESN reservoir.
-    Following configuration of the StateMachine achieves 95.00% accuracy on verification data, slightly better than the best algorithm
-    called BOSS, referenced at the dataset's home site:
+    This sample demonstrates the power of the more advanced StateMachne capabilities. Here is used possibility to
+    unify the amplitude of input patter data, as well as the possibility to directly connect fast-reacting analog neurons
+    with spiking neurons and thus create a reservoir with sufficient memory and proper ability to provide good data for
+    generalization at readout layer. Proper mutual cooperation of analog and spiking neurons is enabled by the novel ability of analog
+    neuron to fire a spike.
+    Following advanced (but still straightforward) configuration of the StateMachine achieves 100% accuracy, better than the best
+    algorithm called BOSS, referenced at the dataset's home site:
     "Anthony Bagnall, Jason Lines, William Vickers and Eamonn Keogh, The UEA & UCR Time Series Classification Repository, www.timeseriesclassification.com"
     https://timeseriesclassification.com/description.php?Dataset=BeetleFly.
     MPEG-7 CE Shape-1 Part B is a database of binary images developed for testing MPEG-7 shape descriptors, and is available free online. 
@@ -270,36 +275,31 @@
     We have extracted the outlines of these images and mapped them into 1-D series of distances to the centre. 
     Beetle/Fly is the problem of distinguishing between an outline of a beetle and a fly.
   -->
-  <case name="Classification task BeetleFly: Simple pure ESN reservoir generating FiringFadingSum predictors, one Identity neuron as a classifier (Resilient trainer)">
+  <case name="Classification task BeetleFly: Combined ESNxLSM reservoir generating FiringFadingSum predictors, one Identity neuron as a classifier (Resilient trainer)">
     <samples trainingData="BeetleFly_train.csv" verificationData="BeetleFly_verify.csv"/>
     <stateMachine randomizerSeek="0">
-      <neuralPreprocessor>
+      <neuralPreprocessor predictorsReductionRatio="0">
         <inputEncoder>
-          <feedingPatterned slices="1" bidir="false">
-            <unification unifyAmplitude="false" detrend="false">
+          <feedingPatterned slices="1" bidir="true">
+            <unification unifyAmplitude="true" detrend="false">
               <resampling signalBeginThreshold="0" signalEndThreshold="0" uniformTimeScale="true" targetTimePoints="Auto"/>
             </unification>
           </feedingPatterned>
-          <varyingFields routeToReadout="true">
+          <varyingFields routeToReadout="false">
             <externalFields>
-              <field name="Dist">
+              <field name="DistanceFromCenter">
                 <realFeature standardize="true" keepReserve="true"/>
               </field>
             </externalFields>
-            <transformedFields>
-              <field name="Diff">
-                <diff fieldName="Dist" interval="1"/>
-              </field>
-            </transformedFields>
           </varyingFields>
         </inputEncoder>
         <reservoirStructures>
           <reservoirStructure name="MainCfg">
             <pools>
-              <pool name="PureESN">
-                <proportions dimX="6" dimY="6" dimZ="5"/>
+              <pool name="AnalogESNPool">
+                <proportions dimX="128" dimY="1" dimZ="1"/>
                 <neuronGroups>
-                  <analogGroup name="TanH-grp" firingThreshold="0.00125" relShare="1">
+                  <analogGroup name="Analog-grp" relShare="1" firingThreshold="0.01" thresholdMaxRefDeepness="4">
                     <activationTanH/>
                   </analogGroup>
                 </neuronGroups>
@@ -307,22 +307,45 @@
                   <randomSchema density="0.1" avgDistance="NA" allowSelfConnection="true" constantNumOfConnections="false"/>
                 </interconnection>
               </pool>
+              <pool name="SpikingPrimePool">
+                <proportions dimX="64" dimY="1" dimZ="1"/>
+                <neuronGroups>
+                  <spikingGroup name="Spiking-grp" relShare="1">
+                    <activationLeakyIF refractoryPeriods="0"/>
+                    <homogenousExcitability excitatoryStrength="0.8" inputRatio="0" inhibitoryRatio="0.25"/>
+                  </spikingGroup>
+                </neuronGroups>
+                <interconnection>
+                  <emptySchema/>
+                </interconnection>
+              </pool>
+              <pool name="SpikingLSMPool">
+                <proportions dimX="128" dimY="1" dimZ="1"/>
+                <neuronGroups>
+                  <spikingGroup name="Spiking-grp" relShare="1">
+                    <activationLeakyIF refractoryPeriods="0"/>
+                    <homogenousExcitability excitatoryStrength="0.8" inputRatio="0" inhibitoryRatio="0.1"/>
+                  </spikingGroup>
+                </neuronGroups>
+                <interconnection>
+                  <randomSchema density="0.1" avgDistance="NA" allowSelfConnection="false" constantNumOfConnections="false"/>
+                </interconnection>
+              </pool>
             </pools>
+            <interPoolConnections>
+              <interPoolConnection targetPool="SpikingPrimePool" targetConnDensity="1" sourcePool="AnalogESNPool" sourceConnDensity="0.25"/>
+              <interPoolConnection targetPool="SpikingLSMPool" targetConnDensity="1" sourcePool="SpikingPrimePool" sourceConnDensity="0.25"/>
+            </interPoolConnections>
           </reservoirStructure>
         </reservoirStructures>
         <reservoirInstances>
           <reservoirInstance name="Main" reservoirStructure="MainCfg">
             <inputConnections>
-              <connection inputFieldName="Diff" analogTargetDensity="0.25" poolName="PureESN"/>
+              <connection inputFieldName="DistanceFromCenter" poolName="AnalogESNPool" analogTargetDensity="1"/>
             </inputConnections>
             <synapse>
               <analogTarget>
-                <input maxDelay="0" delayMethod="Random">
-                  <analogSource>
-                    <weight min="0" max="2.5"/>
-                  </analogSource>
-                </input>
-                <indifferent maxDelay="0" delayMethod="Random"/>
+                <indifferent maxDelay="16"/>
               </analogTarget>
             </synapse>
             <predictors activation="false"
@@ -333,6 +356,9 @@
                         firingMWAvg="false"
                         firingCount="false"
                         firingBinPattern="false">
+              <params>
+                <firingFadingSum strength="0.001"/>
+              </params>
             </predictors>
           </reservoirInstance>
         </reservoirInstances>
@@ -345,7 +371,7 @@
               <networks>
                 <ff>
                   <activationIdentity/>
-                  <resPropTrainer attempts="5" attemptEpochs="200"/>
+                  <resPropTrainer attempts="5" attemptEpochs="500"/>
                 </ff>
               </networks>
             </classification>
diff --git a/RCNet/Neural/Network/SM/Preprocessing/Reservoir/Pool/ChainSchemaSettings.cs b/RCNet/Neural/Network/SM/Preprocessing/Reservoir/Pool/ChainSchemaSettings.cs
index 9593d75..088f089 100644
--- a/RCNet/Neural/Network/SM/Preprocessing/Reservoir/Pool/ChainSchemaSettings.cs
+++ b/RCNet/Neural/Network/SM/Preprocessing/Reservoir/Pool/ChainSchemaSettings.cs
@@ -146,9 +146,9 @@ public override bool ContainsOnlyDefaults
         /// </summary>
         protected override void Check()
         {
-            if (Ratio < 0 || Ratio > 1)
+            if (Ratio <= 0 || Ratio > 1)
             {
-                throw new ArgumentException($"Invalid Ratio {Ratio.ToString(CultureInfo.InvariantCulture)}. Ratio must be GE to 0 and LE to 1.", "Ratio");
+                throw new ArgumentException($"Invalid Ratio {Ratio.ToString(CultureInfo.InvariantCulture)}. Ratio must be GT 0 and LE to 1.", "Ratio");
             }
             if (Repetitions < 1)
             {
diff --git a/RCNet/Neural/Network/SM/Preprocessing/Reservoir/Pool/EmptySchemaSettings.cs b/RCNet/Neural/Network/SM/Preprocessing/Reservoir/Pool/EmptySchemaSettings.cs
new file mode 100644
index 0000000..7fe4c38
--- /dev/null
+++ b/RCNet/Neural/Network/SM/Preprocessing/Reservoir/Pool/EmptySchemaSettings.cs
@@ -0,0 +1,115 @@
+using System;
+using System.Globalization;
+using System.Xml.Linq;
+
+namespace RCNet.Neural.Network.SM.Preprocessing.Reservoir.Pool
+{
+    /// <summary>
+    /// Class contains configuration of the Empty schema of pool's neurons interconnection (ensures no internal pool connections)
+    /// </summary>
+    [Serializable]
+    public class EmptySchemaSettings : RCNetBaseSettings, IInterconnSchemaSettings
+    {
+        //Constants
+        /// <summary>
+        /// Name of the associated xsd type
+        /// </summary>
+        public const string XsdTypeName = "PoolInterconnectionEmptySchemaType";
+
+        //Constructors
+        /// <summary>
+        /// Creates an initialized instance
+        /// </summary>
+        public EmptySchemaSettings()
+        {
+            Check();
+            return;
+        }
+
+        /// <summary>
+        /// The deep copy constructor
+        /// </summary>
+        /// <param name="source">Source instance</param>
+        public EmptySchemaSettings(EmptySchemaSettings source)
+            : this()
+        {
+            return;
+        }
+
+        /// <summary>
+        /// Creates an initialized instance.
+        /// </summary>
+        /// <param name="elem">Xml element containing the initialization settings</param>
+        public EmptySchemaSettings(XElement elem)
+        {
+            //Validation
+            XElement settingsElem = Validate(elem, XsdTypeName);
+            Check();
+            return;
+        }
+
+        //Properties
+        /// <summary>
+        /// Specifies whether the connections of this schema will replace existing connections
+        /// </summary>
+        public bool ReplaceExistingConnections { get { return false; } }
+
+        /// <summary>
+        /// Number of applications of this schema
+        /// </summary>
+        public int Repetitions { get { return 1; } }
+
+        /// <summary>
+        /// Identifies settings containing only default values
+        /// </summary>
+        public override bool ContainsOnlyDefaults
+        {
+            get
+            {
+                return true;
+            }
+        }
+
+        //Methods
+        /// <summary>
+        /// Checks consistency
+        /// </summary>
+        protected override void Check()
+        {
+            return;
+        }
+
+        /// <summary>
+        /// Creates the deep copy instance of this instance
+        /// </summary>
+        public override RCNetBaseSettings DeepClone()
+        {
+            return new EmptySchemaSettings(this);
+        }
+
+        /// <summary>
+        /// Generates xml element containing the settings.
+        /// </summary>
+        /// <param name="rootElemName">Name to be used as a name of the root element.</param>
+        /// <param name="suppressDefaults">Specifies whether to ommit optional nodes having set default values</param>
+        /// <returns>XElement containing the settings</returns>
+        public override XElement GetXml(string rootElemName, bool suppressDefaults)
+        {
+            XElement rootElem = new XElement(rootElemName);
+            Validate(rootElem, XsdTypeName);
+            return rootElem;
+        }
+
+        /// <summary>
+        /// Generates default named xml element containing the settings.
+        /// </summary>
+        /// <param name="suppressDefaults">Specifies whether to ommit optional nodes having set default values</param>
+        /// <returns>XElement containing the settings</returns>
+        public override XElement GetXml(bool suppressDefaults)
+        {
+            return GetXml("emptySchema", suppressDefaults);
+        }
+
+    }//EmptySchemaSettings
+
+}//Namespace
diff --git a/RCNet/Neural/Network/SM/Preprocessing/Reservoir/Pool/InterconnSettings.cs b/RCNet/Neural/Network/SM/Preprocessing/Reservoir/Pool/InterconnSettings.cs
index abb1841..f96507a 100644
--- a/RCNet/Neural/Network/SM/Preprocessing/Reservoir/Pool/InterconnSettings.cs
+++ b/RCNet/Neural/Network/SM/Preprocessing/Reservoir/Pool/InterconnSettings.cs
@@ -87,6 +87,10 @@ public InterconnSettings(XElement elem)
                 {
                     SchemaCfgCollection.Add(new ChainSchemaSettings(schemaElem));
                 }
+                else if (schemaElem.Name.LocalName == "emptySchema")
+                {
+                    SchemaCfgCollection.Add(new EmptySchemaSettings(schemaElem));
+                }
                 else
                 {
                     //Ignore
@@ -111,7 +115,14 @@ protected override void Check()
         {
             if (SchemaCfgCollection.Count == 0)
             {
-                throw new ArgumentException($"At least one interconnection schema must be specified.", "SchemaCfgCollection");
+                throw new InvalidOperationException($"At least one interconnection schema must be specified.");
+            }
+            foreach(IInterconnSchemaSettings schema in SchemaCfgCollection)
+            {
+                if(schema.GetType() == typeof(EmptySchemaSettings) && SchemaCfgCollection.Count > 1)
+                {
+                    throw new InvalidOperationException($"No other schema specification is allowed together with EmptySchema.");
+                }
             }
             return;
         }
diff --git a/RCNet/Neural/Network/SM/Preprocessing/Reservoir/Pool/RandomSchemaSettings.cs b/RCNet/Neural/Network/SM/Preprocessing/Reservoir/Pool/RandomSchemaSettings.cs
index 1237d81..3fbab95 100644
--- a/RCNet/Neural/Network/SM/Preprocessing/Reservoir/Pool/RandomSchemaSettings.cs
+++ b/RCNet/Neural/Network/SM/Preprocessing/Reservoir/Pool/RandomSchemaSettings.cs
@@ -192,9 +192,9 @@ public override bool ContainsOnlyDefaults
         /// </summary>
         protected override void Check()
         {
-            if (Density < 0 || Density > 1)
+            if (Density <= 0 || Density > 1)
             {
-                throw new ArgumentException($"Invalid Density {Density.ToString(CultureInfo.InvariantCulture)}. Density must be GE to 0 and LE to 1.", "Density");
+                throw new ArgumentException($"Invalid Density {Density.ToString(CultureInfo.InvariantCulture)}. Density must be GT 0 and LE to 1.", "Density");
             }
             if (AvgDistance < 0)
             {
diff --git a/RCNet/Neural/Network/SM/Preprocessing/Reservoir/ReservoirInstance.cs b/RCNet/Neural/Network/SM/Preprocessing/Reservoir/ReservoirInstance.cs
index e567ca9..a098809 100644
--- a/RCNet/Neural/Network/SM/Preprocessing/Reservoir/ReservoirInstance.cs
+++ b/RCNet/Neural/Network/SM/Preprocessing/Reservoir/ReservoirInstance.cs
@@ -265,7 +265,12 @@ Random rand
                 //Apply defined schemas
                 foreach (object connSchema in StructureCfg.PoolsCfg.PoolCfgCollection[poolID].InterconnectionCfg.SchemaCfgCollection)
                 {
-                    if (connSchema.GetType() == typeof(RandomSchemaSettings))
+                    if (connSchema.GetType() == typeof(EmptySchemaSettings))
+                    {
+                        //No interconnection
+                        break;
+                    }
+                    else if (connSchema.GetType() == typeof(RandomSchemaSettings))
                     {
                         ConnectRandomSchema(poolID, rand, (RandomSchemaSettings)connSchema);
                     }
diff --git a/RCNet/RCNet.csproj b/RCNet/RCNet.csproj
index 76016f0..a459608 100644
--- a/RCNet/RCNet.csproj
+++ b/RCNet/RCNet.csproj
@@ -198,6 +198,7 @@
     <Compile Include="Neural\Network\SM\Preprocessing\Neuron\SpikingInputNeuron.cs" />
     <Compile Include="Neural\Network\SM\Preprocessing\Reservoir\InputConnSettings.cs" />
     <Compile Include="Neural\Network\SM\Preprocessing\Reservoir\InputConnsSettings.cs" />
+    <Compile Include="Neural\Network\SM\Preprocessing\Reservoir\Pool\EmptySchemaSettings.cs" />
     <Compile Include="Neural\Network\SM\Preprocessing\Reservoir\Pool\NeuronGroup\INeuronGroupSettings.cs" />
     <Compile Include="Neural\Network\SM\Preprocessing\Reservoir\Pool\NeuronGroup\HomogenousExcitabilitySettings.cs" />
     <Compile Include="Neural\Network\SM\Preprocessing\Reservoir\ReservoirStat.cs" />
diff --git a/RCNet/RCNetTypes.xsd b/RCNet/RCNetTypes.xsd
index aff09b3..2d68ff1 100644
--- a/RCNet/RCNetTypes.xsd
+++ b/RCNet/RCNetTypes.xsd
@@ -262,6 +262,14 @@
     </xs:restriction>
   </xs:simpleType>
 
+  <!-- Unsigned double GT 0 LE 1-->
+  <xs:simpleType name="UDoubleGT0LE1Type">
+    <xs:restriction base="xs:double">
+      <xs:minExclusive value="0" />
+      <xs:maxInclusive value="1" />
+    </xs:restriction>
+  </xs:simpleType>
+
   <!-- Unsigned double GE 0 LT 1-->
   <xs:simpleType name="UDoubleLT1Type">
     <xs:restriction base="xs:double">
@@ -1762,9 +1770,13 @@
   </xs:complexType>
 
   <!-- Pool interconnection schemas -->
+  <!-- Empty schema -->
+  <xs:complexType name="PoolInterconnectionEmptySchemaType">
+  </xs:complexType>
+
   <!-- Random schema -->
   <xs:complexType name="PoolInterconnectionRandomSchemaType">
-    <xs:attribute type="UDoubleLE1Type" name="density" use="optional" default="0.1">
+    <xs:attribute type="UDoubleGT0LE1Type" name="density" use="optional" default="0.1">
       <xs:annotation>
         <xs:documentation xml:lang="en">Default value is 0.1</xs:documentation>
       </xs:annotation>
@@ -1798,7 +1810,7 @@
 
   <!-- Chain schema -->
   <xs:complexType name="PoolInterconnectionChainSchemaType">
-    <xs:attribute type="UDoubleLE1Type" name="ratio" use="optional" default="1">
+    <xs:attribute type="UDoubleGT0LE1Type" name="ratio" use="optional" default="1">
       <xs:annotation>
         <xs:documentation xml:lang="en">Default value is 1</xs:documentation>
       </xs:annotation>
@@ -1822,12 +1834,17 @@
 
   <!-- Pool interconnection configuration -->
   <xs:complexType name="PoolInterconnectionType">
-    <xs:sequence minOccurs="1" maxOccurs="1">
-      <xs:choice minOccurs="1" maxOccurs="unbounded">
-        <xs:element type="PoolInterconnectionRandomSchemaType" name="randomSchema" minOccurs="1" maxOccurs="1"/>
-        <xs:element type="PoolInterconnectionChainSchemaType" name="chainSchema" minOccurs="1" maxOccurs="1"/>
-      </xs:choice>
-    </xs:sequence>
+    <xs:choice minOccurs="1" maxOccurs="1">
+      <xs:sequence minOccurs="1" maxOccurs="1">
+        <xs:element type="PoolInterconnectionEmptySchemaType" name="emptySchema" minOccurs="1" maxOccurs="1"/>
+      </xs:sequence>
+      <xs:sequence minOccurs="1" maxOccurs="1">
+        <xs:choice minOccurs="1" maxOccurs="unbounded">
+          <xs:element type="PoolInterconnectionRandomSchemaType" name="randomSchema" minOccurs="1" maxOccurs="1"/>
+          <xs:element type="PoolInterconnectionChainSchemaType" name="chainSchema" minOccurs="1" maxOccurs="1"/>
+        </xs:choice>
+      </xs:sequence>
+    </xs:choice>
   </xs:complexType>
 
   <!-- Homogenous excitability configuration -->
diff --git a/Readme.md b/Readme.md
index 4a2b87a..77302af 100644
--- a/Readme.md
+++ b/Readme.md
@@ -36,7 +36,7 @@ site and State Machine usually achieves very similar results to the best classif
 |--|--|--|--|
 |[CricketX](https://timeseriesclassification.com/description.php?Dataset=CricketX)|80.77%|81.4%|COTE|
 |[Worms](https://timeseriesclassification.com/description.php?Dataset=Worms)|83.12%|73.49%|BOSS|
-|[BeetleFly](https://timeseriesclassification.com/description.php?Dataset=BeetleFly)|95%|94.85%|BOSS|
+|[BeetleFly](https://timeseriesclassification.com/description.php?Dataset=BeetleFly)|100%|94.85%|BOSS|
 |[BirdChicken](https://timeseriesclassification.com/description.php?Dataset=BirdChicken)|100%|98.4%|BOSS|
 |[ProximalPhalanx](https://timeseriesclassification.com/description.php?Dataset=ProximalPhalanxOutlineAgeGroup)|88.29%|88.09%|ST|
 |[Yoga](https://timeseriesclassification.com/description.php?Dataset=Yoga)|91.13%|90.99%|BOSS|