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Reference cited by multiple papers
Casey M (1996) The dynamics of discrete-time computation, with application to recurrent neural networks and finite state machine extraction.
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Jacobsson H (2005)
Rule extraction from recurrent neural networks: A taxonomy and review
Jacobsson H (2006)
The crystallizing substochastic sequential machine extractor: CrySSMEx.
Maass W, Joshi P, Sontag ED (2006)
Principles of real-time computing with feedback applied to cortical microcircuit models.
Advances in Neural Information Processing Systems
Computational aspects of feedback in neural circuits (Maass et al 2006) [Model]
Síma J, Orponen P (2003)
General-purpose computation with neural networks: a survey of complexity theoretic results.
Tino P, Mills AJ (2006)
Learning beyond finite memory in recurrent networks of spiking neurons.
Vahed A, Omlin CW (2004)
A machine learning method for extracting symbolic knowledge from recurrent neural networks.