Package PyDSTool :: Package Toolbox :: Module neuro_data :: Class get_burst_spikes

Class get_burst_spikes

       object --+            
                |            
 MProject.feature --+        
                    |        
MProject.feature_node --+    
                        |    
 MProject.ql_feature_node --+
                            |
                           get_burst_spikes

Requires a get_spike_data and get_spike_model instance to be the only sub-features (supplied as a dict with keys 'is_spike_data' and 'is_spike_model').

Instance Methods

[hide private]

_local_init(self)

source code

postprocess_ref_traj(self)
User-definable by overriding in a sub-class

source code

evaluate(self, target)
Default method: evaluate sub-features in order (assumes they are stored as a list).

source code

_eval(self, traj, burst_est, is_spike)

source code

Inherited from MProject.feature_node: __getitem__, __init__, __repr__, __str__, propagate_verbosity, set_ref_traj

Inherited from MProject.feature_node (private): _residual_info

Inherited from MProject.feature: __call__, __eq__, __hash__, __ne__, finish, info, prepare, reset_metric, validate

Inherited from MProject.feature (private): _find_idx

Inherited from object: __delattr__, __getattribute__, __new__, __reduce__, __reduce_ex__, __setattr__

Properties

[hide private]

Inherited from object: __class__

Method Details

[hide private]

postprocess_ref_traj(self)

source code

User-definable by overriding in a sub-class

Overrides: MProject.feature.postprocess_ref_traj: (inherited documentation)

evaluate(self, target)

source code

Default method: evaluate sub-features in order (assumes they are stored as a list).

Can override with more sophisticated method (e.g. for use with a dictionary of sub-features).

Overrides: MProject.feature.evaluate