Controlling oscillatory behaviour of a two neuron recurrent neural network using inputs [PDF]
, 2001 Haschke R, Steil JJ, Ritter H. Controlling oscillatory behaviour of a two neuron recurrent neural network using inputs. In: Dorffner G, Bischof H, Hornik K, eds. Artificial Neural Networks - ICANN 2001. Lecture notes in computer science.
Dorffner, Georg +5 more
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Interpretation of recurrent neural networks [PDF]
Neural Networks for Signal Processing VII. Proceedings of the 1997 IEEE Signal Processing Society Workshop, 2002 This paper addresses techniques for interpretation and characterization of trained recurrent nets for time series problems. In particular, we focus on assessment of effective memory and suggest an operational definition of memory. Further we discuss the evaluation of learning curves.
Pedersen, Morten With +1 more
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Homeostatic plasticity improves signal propagation in continuous time recurrent neural networks
, 2005 Continuous-time recurrent neural networks (CTRNNs) are potentially an excellent substrate for the generation of adaptive behaviour in artificial autonomous agents. However, node saturation effects in these networks can leave them insensitive to input and
Williams, Hywel, Noble, Jason
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Evolutionary optimization of echo state networks: multiple motor pattern learning [PDF]
, 2010 Krause AF, Dürr V, Bläsing B, Schack T. Evolutionary optimization of echo state networks: multiple motor pattern learning. In: Artificial neural networks and intelligent information processing : proceedings of the 6th International Workshop on ...
Krause, André Frank +3 more
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Symplectic Recurrent Neural Networks
CoRR, 2019 Added link to GitHub ...
Zhengdao Chen +3 more
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Exploring Efficient Neural Architectures for Linguistic–Acoustic Mapping in Text-To-Speech
Applied Sciences, 2019 Conversion from text to speech relies on the accurate mapping from linguistic to acoustic symbol sequences, for which current practice employs recurrent statistical models such as recurrent neural networks. Despite the good performance of such models (in
Santiago Pascual +2 more
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State estimation for discrete-time neural networks with Markov-mode-dependent lower and upper bounds on the distributed delays [PDF]
, 2012 Copyright @ 2012 Springer VerlagThis paper is concerned with the state estimation problem for a new class of discrete-time neural networks with Markovian jumping parameters and mixed time-delays.
Liu, Y, Liu, X, Wang, Z
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Design of exponential state estimators for neural networks with mixed time delays [PDF]
, 2007 This is the post print version of the article. The official published version can be obtained from the link below - Copyright 2007 Elsevier Ltd.In this Letter, the state estimation problem is dealt with for a class of recurrent neural networks (RNNs ...
Liu, Y, Liu, X, Wang, Z
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Neural Approximators for Variable-Order Fractional Calculus Operators (VO-FC)
IEEE Access, 2022 The paper presents research on the approximation of variable-order fractional operators by recurrent neural networks. The research focuses on two basic variable-order fractional operators, i.e., integrator and differentiator.
Bartosz Puchalski
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Two generic mechanisms for emergence of direction selectivity coexist in recurrent neural networks [PDF]
, 2013 Poster presentation: Twenty Second Annual Computational Neuroscience Meeting: CNS*2013. Paris, France. 13-18 July 2013. In the mammalian visual cortex, the time-averaged response of many neurons is maximal for stimuli moving in a particular direction ...
Matthias Kaschube +3 more
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