/// <summary>
/// Creates a new Cell belonging to the specified <see cref="Column"/>. The index is an
/// integer id to distinguish this Cell from others in the <see cref="Column"/>.
/// </summary>
/// <param name="column"></param>
/// <param name="index"></param>
public Cell(Column column, int index)
{
// Set fields
this.ActiveState = new List<bool>();
this.Column = column;
this.Index = index;
this.DistalSegments = new List<DistalSegment>();
this.LearnState = new List<bool>();
this.PredictiveState = new List<bool>();
this.SegmentUpdates = new List<SegmentUpdate>();
// Initialize state vectors with fixed lenght = T
for (int t = 0; t <= Global.T; t++)
{
this.ActiveState.Add(false);
this.PredictiveState.Add(false);
this.LearnState.Add(false);
}
SelectablelType = SelectableObjectType.Cell;
}
private float PickProximalSynapseConnections ( Ray ray, Column column, ref ProximalSynapse returnedProximalSynapse )
{
float intersectDistance = float.MaxValue;
float minDistance = float.MaxValue;
returnedProximalSynapse = null;
// Draw Connections if existing
if (column.IsDataGridSelected || (Simulation3D.Form.ShowSpatialLearning && column.ActiveState[Global.T]))
{
Vector3 rayP1 = ray.Position;
Vector3 rayP2 = rayP1 + ray.Direction;
foreach (ProximalSynapse synapse in column.ProximalSegment.Synapses)
{
synapse.mouseOver = false;
if (column.Statistics.StepCounter > 0)
{
//var proximalSynapse = synapse as ProximalSynapse;
// Get the two vectors to draw line between
var startPosition = new Vector3 ( column.PositionInRegion.X, 0, column.PositionInRegion.Y + _zHtmRegion );
// Get input source position
int x = synapse.InputSource.X;
int y = (int)_yHtmPlane;
int z = synapse.InputSource.Y;
var endPosition = new Vector3 ( x, y, z + _zHtmPlane );
bool intersect;
Vector3 Line1ClosestPt = new Vector3 ();
Vector3 Line2ClosestPt = new Vector3 ();
intersect = Math3D.ClosestPointsLineSegmentToLine ( out Line1ClosestPt, out Line2ClosestPt, startPosition, endPosition, rayP1, rayP2, 0.1f, out intersectDistance );
if (intersect && intersectDistance < minDistance)
{
minDistance = intersectDistance;
returnedProximalSynapse = synapse;
}
}
}
}
return minDistance;
}
private float PickCell ( Ray ray, Matrix worldTranslation, Column column, Cell cell, ref Cell returnedCell )
{
cell.mouseOver = false;
BoundingBox box = this._cube.GetBoundingBox ( worldTranslation );
float? intersectDistance = ray.Intersects ( box );
if (intersectDistance != null)
{
returnedCell = cell;
return (float)intersectDistance;
}
return float.MaxValue;
}
/// <summary>
/// Draw distal synapse connections for chosen cells
/// </summary>
/// <param name="worldTranslation"></param>
/// <param name="worldRotate"></param>
/// <param name="column"></param>
/// <param name="cell"></param>
private void DrawDistalSynapseConnections(ref Matrix worldTranslation,
ref Matrix worldRotate, Column column, Cell cell)
{
try
{
// Draw Connections if existing
if (cell.IsDataGridSelected ||
(Simulation3D.Form.ShowTemporalLearning && cell.PredictiveState[Global.T]))
{
foreach (var segment in cell.DistalSegments)
{
foreach (var synapse in segment.Synapses)
{
var distalSynapse = synapse as DistalSynapse;
// Get the two vectors to draw line between
var startPosition = new Vector3(column.PositionInRegion.X,
cell.Index, column.PositionInRegion.Y);
// Get input source position
int x = distalSynapse.InputSource.Column.PositionInRegion.X;
int y = distalSynapse.InputSource.Index;
int z = distalSynapse.InputSource.Column.PositionInRegion.Y;
var endPosition = new Vector3(x, y, z);
//Color color = distalSynapse.IsActive(Global.T) ? Color.Black : Color.White;
Color color;
float alphaValue;
GetColorFromDistalSynapse ( distalSynapse, out color, out alphaValue );
this._connectionLine.SetUpVertices(startPosition, endPosition, color);
// Draw line
this._connectionLine.Draw(worldTranslation * worldRotate,
this._viewMatrix, this._projectionMatrix);
}
}
}
}
catch (Exception)
{
// Is sometimes raised because of collections modification by another thread.
}
}
/// <summary>
/// Draw distal synapse connections for chosen cells.
/// Attention! lateral movement of planes, regions causes Z-Value correction
/// </summary>
/// <param name="worldRotate"></param>
/// <param name="column"></param>
private void DrawProximalSynapseConnections(ref Matrix worldRotate, Column column)
{
try
{
// Draw Connections if existing
if (column.IsDataGridSelected || (Simulation3D.Form.ShowSpatialLearning && column.ActiveState[Global.T]))
{
foreach (var synapse in column.ProximalSegment.Synapses)
{
if (column.Statistics.StepCounter > 0)
{
var proximalSynapse = synapse as ProximalSynapse;
// Get the two vectors to draw line between
var startPosition = new Vector3 ( column.PositionInRegion.X, 0, column.PositionInRegion.Y + _zHtmRegion );
// Get input source position
int x = proximalSynapse.InputSource.X;
int y = -5;
int z = proximalSynapse.InputSource.Y;
var endPosition = new Vector3 ( x, y, z + _zHtmPlane );
//// Check for color
//if (proximalSynapse.IsActive ( Global.T ))
//{
// if (proximalSynapse.IsConnected ()) // Active & connected.
// this._connectionLine.SetUpVertices ( startPosition, endPosition, Color.Green );
// else // Active.
// this._connectionLine.SetUpVertices ( startPosition, endPosition, Color.Orange );
//}
//else // Not active.
//{
// this._connectionLine.SetUpVertices ( startPosition, endPosition, Color.White );
//}
////debug js
//if (proximalSynapse.mouseSelected)
//{
// this._connectionLine.SetUpVertices ( startPosition, endPosition, Color.Red );
//}
//if (proximalSynapse.mouseOver)
//{
// this._connectionLine.SetUpVertices ( startPosition, endPosition, mouseOverColor );
//}
Color color;
float alphaValue;
GetColorFromProximalSynapse ( proximalSynapse, out color, out alphaValue );
this._connectionLine.SetUpVertices ( startPosition, endPosition, color );
// Draw line
this._connectionLine.Draw ( worldRotate, this._viewMatrix, this._projectionMatrix );
}
}
}
}
catch (Exception)
{
}
}
public void ShowInternalCells_RegularMode(Graphics grpOnBitmap, Column column)
{
// Display the cells in the column
foreach (var cell in column.Cells)
{
Color cellColor = Color.Tan;
Color colorAverage = Color.Black;
/*if (cell.IsActive)
clrCellColor = Color.Yellow;
if ((cell.WasPredicted == true) && (cell.IsActive == false))
clrCellColor = Color.Red;
if (cell.IsPredicting == true)
clrCellColor = Color.Green;
if ((cell.WasPredicted == true) && (cell.IsActive == true))
clrCellColor = Color.Aqua;*/
if (cell.ActiveState[Global.T] && this.ViewActiveCells)
{
if ((colorAverage.R == 0) && (colorAverage.G == 0) && (colorAverage.B == 0))
{
colorAverage = Color.Yellow;
}
else
{
colorAverage = Color.FromArgb((colorAverage.R + Color.Yellow.R) / 2,
(colorAverage.G + Color.Yellow.G) / 2,
(colorAverage.B + Color.Yellow.B) / 2);
}
}
if (cell.PredictiveState[Global.T - 1] && (cell.ActiveState[Global.T] == false)
&& this.ViewNonActiveAndPredictedCells)
{
if ((colorAverage.R == 0) && (colorAverage.G == 0) && (colorAverage.B == 0))
{
colorAverage = Color.Red;
}
else
{
colorAverage = Color.FromArgb((colorAverage.R + Color.Red.R) / 2,
(colorAverage.G + Color.Red.G) / 2,
(colorAverage.B + Color.Red.B) / 2);
}
}
if (cell.PredictiveState[Global.T] && this.ViewPredictingCells)
{
if ((colorAverage.R == 0) && (colorAverage.G == 0) && (colorAverage.B == 0))
{
colorAverage = Color.Aqua;
}
else
{
colorAverage = Color.FromArgb ( (colorAverage.R + Color.Aqua.R) / 2,
(colorAverage.G + Color.Aqua.G) / 2,
(colorAverage.B + Color.Aqua.B) / 2 );
}
}
if (cell.PredictiveState[Global.T - 1] && cell.ActiveState[Global.T]
&& this.ViewActiveAndPredictedCells)
{
if ((colorAverage.R == 0) && (colorAverage.G == 0) && (colorAverage.B == 0))
{
colorAverage = Color.LimeGreen;
}
else
{
colorAverage = Color.FromArgb ( (colorAverage.R + Color.LimeGreen.R) / 2,
(colorAverage.G + Color.LimeGreen.G) / 2,
(colorAverage.B + Color.LimeGreen.B) / 2 );
}
}
if ((colorAverage.R != 0) || (colorAverage.G != 0) || (colorAverage.B != 0))
{
cellColor = colorAverage;
}
Point cellPoint;
Size cellSizeOnDisplay;
PointF cellPointVirtual;
SizeF cellSizeVirtual;
this.GetCellVirtualPointAndSize(cell, out cellPointVirtual, out cellSizeVirtual);
this.GetCellDisplayPointAndSize(cell, out cellPoint, out cellSizeOnDisplay);
grpOnBitmap.FillRectangle(new SolidBrush(cellColor),
cellPoint.X, cellPoint.Y,
cellSizeOnDisplay.Width, cellSizeOnDisplay.Height);
grpOnBitmap.DrawRectangle(new Pen(Color.WhiteSmoke, 1),
cellPoint.X, cellPoint.Y,
cellSizeOnDisplay.Width, cellSizeOnDisplay.Height);
// Find out how much segments this cell has. if it has more than one, then
// Make a gray circle above it.
if (cell.DistalSegments.Count > 0)
{
grpOnBitmap.FillEllipse(new SolidBrush(Color.FromArgb(127, Color.Gray)),
cellPoint.X, cellPoint.Y,
cellSizeOnDisplay.Width, cellSizeOnDisplay.Height);
// Add the number of segments on top.
this.DrawVirtualString(cell.DistalSegments.Count.ToString(), grpOnBitmap,
cellPointVirtual, cellSizeVirtual, Color.LightGray);
}
string textToDrawOnCell = string.Empty;
// If the cell is a learning cell, draw "L" on it.
if (cell.LearnState[Global.T])
{
textToDrawOnCell += "L";
}
// If the cell is a previous learning cell, draw "PL" on it.
if (cell.LearnState[Global.T - 1])
{
textToDrawOnCell += "PL";
}
// Draw the text on the cell.
this.DrawVirtualString(textToDrawOnCell, grpOnBitmap,
cellPointVirtual, cellSizeVirtual,
Color.Black);
// Does the mouse hover over the cell? let's check.
if (this._keyControlIsPressed)
{
if ((this._relativeMouseLocationInVirtualWorld.X >= cellPointVirtual.X) &&
(this._relativeMouseLocationInVirtualWorld.Y >= cellPointVirtual.Y) &&
(this._relativeMouseLocationInVirtualWorld.X < (cellPointVirtual.X + cellSizeVirtual.Width)) &&
(this._relativeMouseLocationInVirtualWorld.Y < (cellPointVirtual.Y + cellSizeVirtual.Height)))
{
this._mouseHoversEntity = cell;
// Paint a light over the highlighted cell.
grpOnBitmap.FillRectangle(new SolidBrush(Color.FromArgb(127, Color.White)),
cellPoint.X, cellPoint.Y,
cellSizeOnDisplay.Width, cellSizeOnDisplay.Height);
}
}
}
}
/// <summary>
/// Initializes a new instance of the <see cref="Segment"/> class.
/// </summary>
internal ProximalSegment(Column column)
: base()
{
this.parentColumn = column;
}
/// <summary>
/// Returns a list of all the columns that are within inhibitionRadius of a column.
/// </summary>
/// <returns></returns>
public List<Column> GetNeighbors(Column column)
{
var neighborColumns = new List<Column>();
// First find bounds of neighbors within inhibition radius of the column
int positionX = column.PositionInRegion.X;
int positionY = column.PositionInRegion.Y;
var inhibitionRadius = (int) Math.Round(this.InhibitionRadius);
int initialX = Math.Max(0, Math.Min(positionX - 1, positionX - inhibitionRadius));
int initialY = Math.Max(0, Math.Min(positionY - 1, positionY - inhibitionRadius));
int finalX = Math.Min(this.Size.Width, Math.Max(positionX + 1, positionX + inhibitionRadius));
int finalY = Math.Min(this.Size.Height, Math.Max(positionY + 1, positionY + inhibitionRadius));
// Extra 1's for correct looping
finalX = Math.Min(this.Size.Width, finalX + 1);
finalY = Math.Min(this.Size.Height, finalY + 1);
// Loop over all columns that are within inhibitionRadius of given column
for (int x = initialX; x < finalX; ++x)
{
for (int y = initialY; y < finalY; ++y)
{
Column neighborColumn = this.GetColumn(x, y);
neighborColumns.Add(neighborColumn);
}
}
return neighborColumns;
}
public void ShowColumns_RegularMode(Graphics grpOnBitmap, Column column)
{
Point columnPointOnDisplay;
Size columnSizeOnDisplay;
PointF columnPointVirtual;
SizeF columnSizeVirtual;
this.GetColumnDisplayPointAndSize(column, out columnPointOnDisplay, out columnSizeOnDisplay);
this.GetColumnVirtualPointAndSize(column, out columnPointVirtual, out columnSizeVirtual);
Color columnColor = Color.Tan;
bool columnWasPredicted = false;
foreach (var cell in column.Cells)
{
if (cell.PredictiveState[Global.T - 1])
{
columnWasPredicted = true;
break;
}
}
bool columnIsPredicting = false;
foreach (var cell in column.Cells)
{
if (cell.PredictiveState[Global.T])
{
columnIsPredicting = true;
break;
}
}
if (column.ActiveState[Global.T] && this.ViewActiveCells)
{
columnColor = Color.Yellow;
}
if (column.ActiveState[Global.T] && columnWasPredicted &&
this.ViewActiveAndPredictedCells)
{
columnColor = Color.Aqua;
}
if ((column.ActiveState[Global.T] == false) && columnWasPredicted &&
this.ViewNonActiveAndPredictedCells)
{
columnColor = Color.Red;
}
if (columnIsPredicting && this.ViewPredictingCells)
{
columnColor = Color.LimeGreen;
}
grpOnBitmap.FillRectangle(new SolidBrush(columnColor),
columnPointOnDisplay.X, columnPointOnDisplay.Y,
columnSizeOnDisplay.Width, columnSizeOnDisplay.Height);
// Does the mouse hovers over the column? let's check.
if (this._keyControlIsPressed)
{
if ((this._relativeMouseLocationInVirtualWorld.X >= columnPointVirtual.X) &&
(this._relativeMouseLocationInVirtualWorld.Y >= columnPointVirtual.Y) &&
(this._relativeMouseLocationInVirtualWorld.X < (columnPointVirtual.X + columnSizeVirtual.Width)) &&
(this._relativeMouseLocationInVirtualWorld.Y < (columnPointVirtual.Y + columnSizeVirtual.Height)))
{
this._mouseHoversEntity = column;
// Paint a light over the highlighted cell.
grpOnBitmap.FillRectangle(new SolidBrush(Color.FromArgb(127, Color.White)),
columnPointOnDisplay.X, columnPointOnDisplay.Y,
columnSizeOnDisplay.Width, columnSizeOnDisplay.Height);
}
}
}
public void DrawColumnRectangle(Column column, Graphics grpOnBitmap, Color color,
bool drawFill, bool drawOutline)
{
Size columnSizeOnDisplay;
Point columnPoint;
this.GetColumnDisplayPointAndSize(column, out columnPoint, out columnSizeOnDisplay);
if (drawFill)
{
grpOnBitmap.FillRectangle(new SolidBrush(color),
columnPoint.X, columnPoint.Y,
columnSizeOnDisplay.Width, columnSizeOnDisplay.Height);
}
if (drawOutline)
{
grpOnBitmap.DrawRectangle(new Pen(Color.Black, 3),
columnPoint.X, columnPoint.Y,
columnSizeOnDisplay.Width, columnSizeOnDisplay.Height);
}
}
public void GetColumnDisplayPointAndSize(Column column, out Point displayPoint, out Size displaySize)
{
PointF columnLocation;
SizeF columnSize;
this.GetColumnVirtualPointAndSize(column, out columnLocation, out columnSize);
displayPoint = this.ConvertViewPointToDisplayPoint(columnLocation);
displaySize = this.GetSizeOnDisplay(columnSize);
}
public void GetColumnVirtualPointAndSize(Column column, out PointF columnPoint, out SizeF size)
{
columnPoint = new PointF(column.PositionInRegion.X, column.PositionInRegion.Y);
size = _sizeColumnInVirtual;
// If the viewer mode is sideview of the columns,
// Calculate the position and size differently.
if (this._viewerMode == Mode.ColumnsSideView)
{
columnPoint = new PointF(
column.PositionInRegion.X * this._region.Size.Height + column.PositionInRegion.Y, 0);
size = new SizeF(_sizeColumnInVirtual.Width,
_sizeColumnInVirtual.Height * this._region.CellsPerColumn);
}
}
private void DrawConnectionBetweenColumns(Graphics grpOnBitmap, Column outputColumn,
DistalSynapse synapse, Color color)
{
// Note that the start and end points are from the center of the
// Column rectangle, that's why we add COLUMN_SIZE_VIRTUAL / 2
// To the start points of the column rectangles.
SizeF columnSizeVirtual;
PointF columnStartPointVirtual, columnEndPointVirtual;
this.GetColumnVirtualPointAndSize(synapse.InputSource.Column,
out columnStartPointVirtual, out columnSizeVirtual);
this.GetColumnVirtualPointAndSize(outputColumn,
out columnEndPointVirtual, out columnSizeVirtual);
Point pntConnectionStart = this.ConvertViewPointToDisplayPoint(new PointF(
columnStartPointVirtual.X + columnSizeVirtual.Width / 2,
columnStartPointVirtual.Y + columnSizeVirtual.Height / 2));
Point pntConnectionEnd = this.ConvertViewPointToDisplayPoint(new PointF(
columnEndPointVirtual.X + columnSizeVirtual.Width / 2,
columnEndPointVirtual.Y + columnSizeVirtual.Height / 2));
grpOnBitmap.DrawLine(new Pen(color, 5.0f),
pntConnectionStart, pntConnectionEnd);
}
private void dataGridColumns_SelectionChanged( object sender, EventArgs e )
{
if (this.dataGridColumns.SelectedRows.Count > 0)
{
// Get old selection
if (this._selectedColumn != null)
{
this._selectedColumn.IsDataGridSelected = false;
}
// Retrieve selected Column
this._selectedColumn = this.dataGridColumns.SelectedRows[0].DataBoundItem as Column;
this._selectedColumn.IsDataGridSelected = true;
// Bind the cells of the selected column
this.dataGridCells.DataSource = this._selectedColumn.Cells;
}
}
private void dataGridColumns_PreviewKeyDown( object sender, PreviewKeyDownEventArgs e )
{
int currRow = this.dataGridColumns.SelectedRows[0].Index;
if (this.dataGridColumns.SelectedRows.Count > 0)
{
switch (e.KeyCode)
{
case Keys.Right:
if (this._selectedColumn.PositionInRegion.X < this._selectedRegion.Size.Width - 1)
currRow = Math.Min ( currRow + this._selectedRegion.Size.Height, this.dataGridColumns.Rows.Count );
break;
case Keys.Left:
if (this._selectedColumn.PositionInRegion.X > 0)
currRow = Math.Max ( currRow - this._selectedRegion.Size.Height, 0 );
break;
}
// Get old selection
if (this._selectedColumn != null)
{
this._selectedColumn.IsDataGridSelected = false;
}
// change selected row
this.dataGridColumns.Rows[currRow].Selected = true;
//scroll to it
this.dataGridColumns.FirstDisplayedScrollingRowIndex = this.dataGridColumns.SelectedRows[0].Index;
//set active cell (moves caret)
this.dataGridColumns.CurrentCell = this.dataGridColumns.Rows[currRow].Cells[0];
// Retrieve selected Column
this._selectedColumn = this.dataGridColumns.SelectedRows[0].DataBoundItem as Column;
this._selectedColumn.IsDataGridSelected = true;
// Bind the cells of the selected column
this.dataGridCells.DataSource = this._selectedColumn.Cells;
}
}
private float PickDistalSynapseConnections ( Ray ray, Column column, Cell cell, ref DistalSynapse returnedDistalSynapse )
{
float intersectDistance;
float minDistance = float.MaxValue;
returnedDistalSynapse = null;
// Draw Connections if existing
if (cell.IsDataGridSelected ||
(Simulation3D.Form.ShowTemporalLearning && cell.PredictiveState[Global.T]))
{
Vector3 rayP1 = ray.Position;
Vector3 rayP2 = rayP1 + ray.Direction;
foreach (DistalSegment segment in cell.DistalSegments)
{
foreach (DistalSynapse synapse in segment.Synapses)
{
synapse.mouseOver = false;
var distalSynapse = synapse as DistalSynapse;
// Get the two vectors to draw line between
var startPosition = new Vector3 ( column.PositionInRegion.X, cell.Index, column.PositionInRegion.Y + _zHtmRegion );
// Get input source position
int x = distalSynapse.InputSource.Column.PositionInRegion.X;
int y = distalSynapse.InputSource.Index;
int z = distalSynapse.InputSource.Column.PositionInRegion.Y;
var endPosition = new Vector3 ( x, y, z + _zHtmPlane );
bool intersect;
Vector3 Line1ClosestPt = new Vector3 ();
Vector3 Line2ClosestPt = new Vector3 ();
intersect = Math3D.ClosestPointsLineSegmentToLine ( out Line1ClosestPt, out Line2ClosestPt, startPosition, endPosition, rayP1, rayP2, 0.1f, out intersectDistance );
if (intersect && intersectDistance < minDistance)
{
minDistance = intersectDistance;
returnedDistalSynapse = synapse;
}
}
}
}
return minDistance;
}
/// <summary>
/// Return true if the given Column has an overlap value that is at least the
/// k'th largest amongst all neighboring columns within inhibitionRadius.
/// </summary>
/// <remarks>
/// This function is effectively determining which columns are to be inhibited
/// during the spatial pooling procedure of the region.
/// </remarks>
internal bool IsWithinKthScore(Column column, int k)
{
// Loop over all columns that are within inhibitionRadius of given column
// Count how many neighbor columns have strictly greater overlap than our
// given column. If this count is < k then we are within the kth score
int numberColumns = 0;
foreach (var neighborColumn in this.GetNeighbors(column))
{
if (neighborColumn.Overlap > column.Overlap)
{
numberColumns += 1;
}
}
// If count is < k, we are within the kth score of all neighbors
return numberColumns < k;
}
public void ShowColumns_InputMode(Graphics grpOnBitmap, Column column,
float maxOverlap)
{
// Display the column overlap and if it's inhibited or not.
Color columnColor = Color.Black;
var overlapColor = (byte)((column.Overlap / maxOverlap) * byte.MaxValue);
string text = string.Empty;
// Only draw the column if it has some overlap.
if (column.Overlap > 0)
{
if (column.InhibitedState[Global.T])
{
columnColor = Color.FromArgb(overlapColor, 0, 0);
text += "Inhibited : ";
}
else
{
columnColor = Color.FromArgb(0, overlapColor, 0);
text += "Active : ";
}
text += column.Overlap + " Overlap";
// Draw the column and add column text above it.
this.DrawColumnRectangle(column, grpOnBitmap, columnColor, true, true);
this.DrawVirtualString(text, grpOnBitmap, column.PositionInRegion,
_sizeColumnInVirtual, Color.Black);
}
}
/// <summary>
/// Prior to receiving any inputs, the region is initialized by computing a list of initial potential synapses for each column.
/// This consists of a random set of inputs selected from the input space. Each input is represented by a synapse and assigned a random permanence value.
/// The random permanence values are chosen with two criteria.
/// First, the values are chosen to be in a small range around connectedPerm (the minimum permanence value at which a synapse is considered "connected").
/// This enables potential synapses to become connected (or disconnected) after a small number of training iterations.
/// Second, each column has a natural center over the input region, and the permanence values have a bias towards this center (they have higher values near the center).
/// </summary>
/// <remarks>
/// In addition to this Uwe added a concept of Locality Radius, which is an
/// additional parameter to control how far away synapse connections can be made
/// instead of allowing connections anywhere. The reason for this is that in the
/// case of video images I wanted to experiment with forcing each Column to only
/// learn on a small section of the total input to more effectively learn lines or
/// corners in a small section without being 'distracted' by learning larger patterns
/// in the overall input space (which hopefully higher hierarchical Regions would
/// handle more successfully). Passing in 0 for locality radius will mean no
/// restriction which will more closely follow the Numenta doc if desired.
/// </remarks>
public void Initialize()
{
Segment.ActivationThreshold = SegmentActiveThreshold;
// Loop over all lower regions and sensors to calculate the total size of the input
// All regions/sensors should the same dimensions
var inputSize = new Size();
foreach (var child in this.Children)
{
inputSize.Width += child.Size.Width;
inputSize.Height += child.Size.Height;
}
this.InputSize = inputSize;
// Hard-coded means that input bits are mapped directly to columns. In other words the
// normal spatial pooler is disabled and we instead assume the input sparsification
// has already been decided by some preprocessing code outside the Region.
// It is then assumed (though not checked) that the input array will have
// only a sparse number of "1" values that represent the active columns
// for each time step.
if (this.HardcodedSpatial)
{
this.Size = this.InputSize;
}
// Calculate the conversion factor to get from region's column grid back to original input grid
// original
//this.InputProportionX = (this.InputSize.Width - 1) / ((float) this.Size.Width - 1);
//this.InputProportionY = (this.InputSize.Height - 1) / ((float) this.Size.Height - 1);
// JS
this.InputProportionX = (float)this.InputSize.Width / (float)this.Size.Width;
this.InputProportionY = (float)this.InputSize.Height / (float)this.Size.Height;
// Create the columns based on the size of the region and input data to connect to
for (int x = 0; x < this.Size.Width; x++)
{
for (int y = 0; y < this.Size.Height; y++)
{
// Position of this column in the region grid
var positionInRegion = new Point(x, y);
// Calculate the conversion factor to get from region's column grid back to original input grid
var inputPositionX = (int) Math.Round(positionInRegion.X * this.InputProportionX);
var inputPositionY = (int) Math.Round(positionInRegion.Y * this.InputProportionY);
// JS clamp values to imput range
inputPositionX = FloatExtensions.Clamp ( inputPositionX, 0, this.InputSize.Width - 1 );
inputPositionY = FloatExtensions.Clamp ( inputPositionY, 0, this.InputSize.Height - 1);
// Set 'center' position of columns in the original input grid
var centralPositionInInput = new Point(inputPositionX, inputPositionY);
// Create new column and add to region's list
var column = new Column(this, centralPositionInInput, positionInRegion);
this.Columns.Add(column);
//if (diag)
//{
// file.WriteLine ( positionInRegion.X + "," + positionInRegion.Y + ",," + centralPositionInInput.X + "," + centralPositionInInput.Y );
//}
}
}
// With hardcoded the Region will create a matching number of Columns to
// mirror the size of the input array. Locality radius may still be
// defined as it is still used by the temporal pooler. If non-zero it will
// restrict temporal segments from connecting further than r number of
// columns away.
if (this.HardcodedSpatial)
{
this.PercentageInputPerColumn = 1.0f / this.Columns.Count;
this.PercentageMinOverlap = 1.0f;
this.PercentageLocalActivity = 1.0f;
this.DesiredLocalActivity = 1;
}
else
{
// Create Segments with potential synapses for columns
foreach (var column in this.Columns)
{
column.CreateProximalSegments();
}
// Inhibition radius is recomputed
/// AS The radius of the average connected receptive field size of all the columns.
/// The connected receptive field size of a column includes only the connected
/// synapses (those with permanence values >= connectedPerm). This is used to
/// determine the extent of lateral inhibition between columns.
// JS
// this.InhibitionRadius = this.AverageReceptiveFieldSize();
this.InhibitionRadius = Math.Max(1, this.AverageReceptiveFieldSize ());
// Set the desired local activity, ie the number of columns that will be
// activated within a given spatial pooling inhibition radius
if (this.LocalityRadius == 0)
{
this.DesiredLocalActivity = (int) Math.Round(this.InhibitionRadius * this.PercentageLocalActivity);
}
else
{
this.DesiredLocalActivity = (int) (Math.Pow(this.LocalityRadius, 2) * this.PercentageLocalActivity);
}
this.DesiredLocalActivity = Math.Max(2, this.DesiredLocalActivity);
}
Write (0);
}
public void ShowColumns_BoostingMode(Graphics grpOnBitmap, Column column,
float minBoosting, float maxBoosting)
{
// Only draw the column if it has some boosting.
if (column.Boost > 0)
{
float precentageFromBoostingRange =
(column.Boost - minBoosting) / (maxBoosting - minBoosting);
var colorByte = (byte)(precentageFromBoostingRange * byte.MaxValue);
Color columnColor = Color.FromArgb(colorByte, 255 - colorByte, 255 - colorByte);
// Draw the column and add column text above it.
this.DrawColumnRectangle(column, grpOnBitmap, columnColor, true, true);
// Invert the color of the column in order to show textual information :
Color invertedColor = Color.FromArgb(byte.MaxValue - columnColor.R,
byte.MaxValue - columnColor.G, byte.MaxValue - columnColor.B);
float proximalSegmentPermanenceSum = 0;
float averageProximalSegmentPermanence = 0;
foreach (ProximalSynapse synapse in column.ProximalSegment.Synapses)
{
proximalSegmentPermanenceSum += synapse.Permanence;
}
averageProximalSegmentPermanence =
proximalSegmentPermanenceSum / column.ProximalSegment.Synapses.Count;
string text = "Boosting : " + column.Boost +
"\nActiveDutyCycle : " + column.ActiveDutyCycle +
"\nOverlapDutyCycle : " + column.OverlapDutyCycle +
"\nAverage proximal segment permanence : " + averageProximalSegmentPermanence;
this.DrawVirtualString(text, grpOnBitmap, column.PositionInRegion,
_sizeColumnInVirtual, Color.Black);
}
}