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StimulusParameterMap_Combined< MapType, MapBaseType, ValuePointer > Class Template Reference

#include <stimulusparametermap.h>

Inheritance diagram for StimulusParameterMap_Combined< MapType, MapBaseType, ValuePointer >:

[legend]Collaboration diagram for StimulusParameterMap_Combined< MapType, MapBaseType, ValuePointer >:

[legend]List of all members.

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Detailed Description

template<class MapType, class MapBaseType, class ValuePointer>
class StimulusParameterMap_Combined< MapType, MapBaseType, ValuePointer >

Concrete class implementing both discrete and distribution-based methods for map computation.

Originally these were intended to be handled by different subclasses. However, to avoid introducing a performance penalty in the update() and mark() calls by making those calls into virtual functions, a single class was used without virtual functions.

Definition at line 75 of file stimulusparametermap.h.

Public Types
typedef Histo::OneDBinList	Histogram
typedef MatrixType< typename MapType::value_type >::rectangular	MapMatrix
typedef MatrixType< Histogram >::rectangular	HistoMatrix
typedef StimulusParameterMap< MapBaseType, ValuePointer >::Subscript	Subscript
typedef MapAdapterType::ScaleType	ScaleType
Public Methods
	StimulusParameterMap_Combined (const MapType &reference_map, const string &name_, ValuePointer &valueptr_, bool measure_distribution_=true, bool weighted_average_=false, bool cyclic_=true, const ScaleType &selectivity_scale_=ScaleType())
void	mark_current_value_as_max (Subscript r, Subscript c)
void	update_distribution (Subscript r, Subscript c, Histogram::Magnitude val)
MapBaseType *	map () const
	Returns a map of the stimulus preference for each unit, scaled so that each element is a Magnitude, i.e.
MapBaseType *	selectivity () const
const bool	has_distribution () const

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Member Function Documentation

template<class MapType, class MapBaseType, class ValuePointer> MapBaseType* StimulusParameterMap_Combined< MapType, MapBaseType, ValuePointer >::map (    )  const [inline, virtual]

Returns a map of the stimulus preference for each unit, scaled so that each element is a Magnitude, i.e. a value from 0.0 to 1.0. The method used to compute the map depends upon the values of measure_distribution, weighted_average, and cyclic. Histogram::max_value_bin_mag will also work, and be about the same as coarse_map. Implements StimulusParameterMap< MapBaseType, ValuePointer >. Definition at line 124 of file stimulusparametermap.h. Referenced by StimulusParameterMapsForRegion< MapType, MapBaseType, ValuePointer >::register_maps().

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The documentation for this class was generated from the following file:

• stimulusparametermap.h

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