| Array2D< T > | |
| AverageFilter | |
| BPLearningFeaturePlane | Backpropagation learning fp |
| categoryHeader | |
| Caucasian_Dataset | Dataset for Continuous Transformation learning based on the COIL 100 dataset |
| ClientSocket | |
| COIL100_Dataset | Dataset for Continuous Transformation learning based on the COIL 100 dataset |
| common | |
| ConstantInputFeaturePlane | Constant Input feature plane. Just output a constant |
| CTSOMFeaturePlane | A Topographic Self Organizing map fp, with continuous transformation learning |
| CurrentImage | Image generation and manipulation |
| CurrentImageF | Image generation and manipulation |
| Dataset | |
| Direction | Encapsulates relation between angles and "discretized" direction |
| Directory | A simple interface to retrieve the contents of a directory |
| DirectoryEntry | Helper class for Directory |
| DOGFilter | Difference of gaussians filter. For separability, it constructs two Gaussian filters |
| DoubleWFilter | Double Wilson filter |
| Faces_Dataset | Repository for faces dataset |
| FeaturePlane | The key structure in the network. A feature plane is a collection of identical neurons, all receiving input from the same other feature planes, and all having the same receptive field structure (i.e. filters) |
| FeaturePlaneAbstract | |
| FeaturePlaneFactory | |
| FeaturePlaneFHM | |
| FeaturePlaneHelpers | This is the core of a mechanism that will allow for feature planes for invoke a function call after a computation step |
| FeaturePlaneHistogram | |
| FeaturePlaneInput | |
| FeaturePlaneProxy | |
| FileFilter | |
| FileSeqSort | |
| Filter | |
| FilterBank | |
| FilterFactory | |
| FilterOperation | |
| FP3DViewInfo | |
| FPDesignerInfo | |
| FPInput | |
| FPPoint | |
| FullNORB_Dataset | |
| GatingUnits | |
| GFilter | |
| GL3DViewer | |
| Greeble_Dataset | |
| Histogram | |
| HistogramFilter | Histogram filter for use in AIM |
| HistoryList< T > | |
| HPTime | |
| IdentityFilter | |
| image_t | |
| imageHeader | |
| ImageSequence | |
| infoHeader | |
| InhibitoryFilter | |
| InputCameraFeaturePlane | |
| InputControllerAbstract | |
| InputFeaturePlane | |
| InputFeaturePlaneAbstract | |
| InputLearningFeaturePlane | |
| InputMultipleFeaturePlane | |
| InputSocketFeaturePlane | |
| InputVirtualFeaturePlane | |
| Layer | |
| LearningFeaturePlane | |
| LinearNeuron | |
| LinearSigmoidNeuron | |
| LOGFilter | |
| Matrix | |
| MatrixOfMatrix< T > | |
| MGMotionFeaturePlane | MG section of the MT layer |
| Monitor | |
| MotionFeaturePlane | |
| MotionFilter | |
| MotionFilterFactory | |
| MotionMask | Convolution mask used in MG feature planes as part of a motion detector |
| MotionVFFilter | |
| MotionVISub1Filter | Sub-computation of VI |
| MotionVISub2Filter | Sub-computation of VI |
| MotterExampleGen | |
| Network | |
| NetworkFactory | |
| NetworkParser | |
| Neuron | |
| NNThread | |
| Node | |
| NodeAbstract | |
| NodeFactory | |
| NodeProxy | |
| NORB_Dataset | |
| NotifyStrategyAbstract | |
| NotifyStrategyASync | |
| NotifyStrategySync | |
| Observer | |
| ODEMonitor | |
| OutputImage | |
| outputLayout | Describe the task - where should attention look, and what weight should it put on the different options |
| PlaneInputWindow | A "window" into an input |
| PlaneInputWindowSet | A collection of PlaneInputWindow objects |
| ProxyInfo | |
| ptuController | |
| RandomFilter | Random filter - starting point for learning |
| RectFilter | |
| RetinalFilter | Retinal filter - i.e. radial blur |
| Rooz_Dataset | |
| Rooz_Dataset2 | |
| Rooz_Dataset5 | |
| Rooz_DatasetOR2 | |
| RungeKuttaNeuron | |
| SaliencyFeaturePlane | |
| SaliencyOutputFeaturePlane | |
| SigmoidNeuron | |
| SmallNORB_Dataset | |
| SOM_Dataset | |
| SOM_GeomDataset | |
| SOMFeaturePlane | Self Organizing map learning fp - Risto Miikkulainen, James A. Bednar, Yoonsuck Choe, and Joseph Sirosh. Computational Maps in the Visual Cortex. Springer, Berlin, 2005 |
| SpikingNeuron | |
| STNeuron | Neuron as defined in Tsotsos, J. K. (2011). A Computational Perspective on Visual Attention. The MIT Press |
| STSOMFeaturePlane | A Topographic Self Organizing map fp, with continuous transformation learning |
| TanHNeuron | |
| UI_3DViewer | |
| UI_Designer | |
| UI_DesignerCanvas | |
| UI_DesignerCanvasView | |
| UI_DesignerConnection | |
| UI_DesignerHelpButton | |
| UI_DesignerPlane | |
| UI_DesignerPropDisplay | |
| UI_DesignerWizard | |
| UI_FeaturePlane | |
| UI_FeaturePlaneItem | |
| UI_FeaturePlaneProp | |
| UI_FeaturePlaneViewer | |
| UI_FilterProp | |
| UI_FMRI | |
| UI_Image | |
| UI_ImageViewer | |
| UI_Layer | |
| UI_MainWindow | |
| UI_Message | |
| UI_NeuronTimeCourse | |
| UI_Widget | |
| UI_Wrapper | |
| VanRullen_Dataset | Dataset for VanRullen experiment (ALR dissertation ch. 5) |
| Viewable | |
| WFilter | Wilson filter |
| WilsonCowanNeuron | ODE for Wilson-Cowan neurons |
1.7.5.1
