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Approaches Based on Markovian Architectural Bias in Recurrent Neural Networks., , and . SOFSEM, volume 2932 of Lecture Notes in Computer Science, page 257-264. Springer, (2004)Neural Networks-Based Parametric Testing of Analog IC., , , and . DFT, page 408-418. IEEE Computer Society, (2002)Building Predictive Models on Complex Symbolic Sequences with a Second-Order Recurrent BCM Network with Lateral Inhibition., , and . IJCNN (2), page 265-270. IEEE Computer Society, (2000)0-7695-0619-4.Analysis and Visualization of the Dynamics of Recurrent Neural Networks for Symbolic Sequences Processing., and . ICANN (2), volume 5164 of Lecture Notes in Computer Science, page 577-586. Springer, (2008)Modeling Plasticity in Rat Barrel Cortex Induced by One Spared Whisker.. ICANN, volume 1327 of Lecture Notes in Computer Science, page 127-132. Springer, (1997)Training Recurrent Connectionist Models on Symbolic Time Series., and . ICONIP (1), volume 5506 of Lecture Notes in Computer Science, page 285-292. Springer, (2008)Topology of Brain Functional Networks: Towards the Role of Genes., , and . ICONIP (1), volume 5506 of Lecture Notes in Computer Science, page 111-118. Springer, (2008)Meta-STDP Rule Stabilizes Synaptic Weights Under in Vivo-like Ongoing Spontaneous Activity in a Computational Model of CA1 Pyramidal Cell., , and . ICANN (2), volume 12397 of Lecture Notes in Computer Science, page 670-680. Springer, (2020)Finite-State Reber Automaton and the Recurrent Neural Networks Trained in Supervised and Unsupervised Manner., and . ICANN, volume 2130 of Lecture Notes in Computer Science, page 737-742. Springer, (2001)Markovian architectural bias of recurrent neural networks., , and . IEEE Trans. Neural Networks, 15 (1): 6-15 (2004)