Class qt_feature_leaf

source code

object --+        
         |        
   feature --+    
             |    
  feature_leaf --+
                 |
                qt_feature_leaf

Known Subclasses:

• Model.boundary_containment
• , Toolbox.ParamEst.L2_feature
• , Toolbox.ParamEst.L2_feature_1D
• , Toolbox.neuro_data.geom_feature
• , Toolbox.neuro_data.get_burst_active_phase
• , Toolbox.neuro_data.get_burst_dc_offset
• , Toolbox.neuro_data.get_burst_downsweep
• , Toolbox.neuro_data.get_burst_duration
• , Toolbox.neuro_data.get_burst_isi_env
• , Toolbox.neuro_data.get_burst_num_spikes
• , Toolbox.neuro_data.get_burst_passive_extent
• , Toolbox.neuro_data.get_burst_peak_env
• , Toolbox.neuro_data.get_burst_period_info
• , Toolbox.neuro_data.get_burst_trough_env
• , Toolbox.neuro_data.get_burst_upsweep

Quantitative feature (leaf node).
Add description to note assumptions used for defining feature.

input: a trajectory segment
output: a vector of boolean-valued tolerance tests on the discrepancies between ideal and
  actual features defined by a list of function tests
  e.g. a test returns (residual of ideal-actual) < tolerance