Class ReverseCorrelation

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Calculate the receptive fields for all neurons using reverse correlation.

Nested Classes

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Inherited from param.parameterized.Parameterized: __metaclass__

Instance Methods

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initialize_featureresponses(self, features)
Create an empty DistributionMatrix for each feature and each sheet.

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collect_feature_responses(self, pattern_presenter, param_dict, display, feature_values)

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measure_responses(self, pattern_presenter, param_dict, features, display)
Present the given input patterns and collate the responses.

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present_permutation(self, permutation)
Present a pattern with the specified set of feature values.

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_update(self, current_values)

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Inherited from FeatureResponses: __init__, sheets_to_measure

Inherited from param.parameterized.Parameterized: __getstate__, __repr__, __setstate__, __str__, debug, defaults, force_new_dynamic_value, get_param_values, get_value_generator, inspect_value, message, print_param_values, script_repr, set_default, set_dynamic_time_fn, set_param, state_pop, state_push, verbose, warning

Inherited from param.parameterized.Parameterized (private): _add_parameter, _instantiate_param, _set_name, _setup_params

Inherited from object: __delattr__, __format__, __getattribute__, __hash__, __new__, __reduce__, __reduce_ex__, __setattr__, __sizeof__, __subclasshook__

Class Methods

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Inherited from param.parameterized.Parameterized: params, print_param_defaults

Class Variables

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input_sheet = param.Parameter(default= None)

name = <param.parameterized.String object at 0xb20516c>
String identifier for this object.

Inherited from FeatureResponses: repetitions

Inherited from FeatureResponses (private): _fullmatrix

Inherited from base.functionfamily.PatternDrivenAnalysis: post_analysis_session_hooks, post_presentation_hooks, pre_analysis_session_hooks, pre_presentation_hooks

Inherited from param.parameterized.Parameterized: print_level

Properties

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Inherited from object: __class__

Method Details

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initialize_featureresponses(self, features)

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Create an empty DistributionMatrix for each feature and each sheet.

Overrides: FeatureResponses.initialize_featureresponses: (inherited documentation)

measure_responses(self, pattern_presenter, param_dict, features, display)

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Present the given input patterns and collate the responses.

Overrides: FeatureResponses.measure_responses

present_permutation(self, permutation)

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Present a pattern with the specified set of feature values.

Overrides: FeatureResponses.present_permutation

_update(self, current_values)

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Overrides: FeatureResponses._update