Package topo :: Package learningfn :: Module optimized :: Class CFPLF_BCMFixed_opt

Class CFPLF_BCMFixed_opt

                       object --+        
                                |        
param.parameterized.Parameterized --+    
                                    |    
                base.cf.CFPLearningFn --+
                                        |
                                       CFPLF_BCMFixed_opt

CF-aware BCM learning rule.

Implemented in C for speed. Should be equivalent to BCMFixed for CF sheets, except faster.

As a side effect, sets the norm_total attribute on any cf whose weights are updated during learning, to speed up later operations that might depend on it.

May return without modifying anything if the learning rate turns out to be zero.

Nested Classes

[hide private]

Inherited from param.parameterized.Parameterized: __metaclass__

Instance Methods

[hide private]

__call__(self, iterator, input_activity, output_activity, learning_rate, **params)
Apply this learning function to the given set of ConnectionFields, and input and output activities, using the given learning_rate.

source code

Inherited from base.cf.CFPLearningFn: constant_sum_connection_rate

Inherited from param.parameterized.Parameterized: __getstate__, __init__, __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

[hide private]

Inherited from param.parameterized.Parameterized: params, print_param_defaults

Class Variables

[hide private]

unit_threshold = param.Number(default= 0.5, bounds= (0, None),...
Threshold between LTD and LTP.

name = <param.parameterized.String object at 0xb27d6f4>
String identifier for this object.

Inherited from param.parameterized.Parameterized: print_level

Properties

[hide private]

Inherited from object: __class__

Method Details

[hide private]

call(self, iterator, input_activity, output_activity, learning_rate, **params)
(Call operator)

source code

Apply this learning function to the given set of ConnectionFields, and input and output activities, using the given learning_rate.

Overrides: base.cf.CFPLearningFn.__call__: (inherited documentation)

Class Variable Details

[hide private]

unit_threshold

Threshold between LTD and LTP.

Value:

param.Number(default= 0.5, bounds= (0, None), doc= "Threshold between LTD and LTP.
")

Class CFPLF_BCMFixed_opt

__call__(self, iterator, input_activity, output_activity, learning_rate, **params) (Call operator)

unit_threshold

call(self, iterator, input_activity, output_activity, learning_rate, **params)
(Call operator)