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Feat/recurrentrtransfermechanism/learning condition (#850)

* • NieuwenhuisModel:
  Added LC_process

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* • RecurrentTransferMechanism
  - learning_condition:  added argument and attribute

• ContrastiveHebbianLearning
  modified to

* • RecurrentTransferMechanism
  - learning_condition:  added argument and attribute
  - docstring revised accordingly

• ContrastiveHebbianLearning
  - modified to use learning_condition attr of RecurrentTransferMechanism
  - docstring revised accordingly

* • RecurrentTransferMechanism
  - added convergence_function and convergence_condition

* • RecurrentTransferMechanism
  - docstring revs

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* -

* -

* • Function
  - Distance:  added absolute attribute

• RecurrentTransferMechanism
  - learning_condition:  added argument and attribute
  - docstring revised accordingly
  - added convergence_function and convergence_crterion
  - added is_finished property (that computes convergence if specified)

• ContrastiveHebbianLearning
  - modified to use learning_condition attr of RecurrentTransferMechanism
  - docstring revised accordingly
  - moved convergence determination to RecurrentTransferMechanism

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