Strongly Improved Stability and Faster Convergence of Temporal Sequence Learning by Using Input Correlations Only
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Publication:5474567
DOI10.1162/neco.2006.18.6.1380zbMath1095.68651OpenAlexW2105780862WikidataQ51183866 ScholiaQ51183866MaRDI QIDQ5474567
Florentin Wörgötter, Bernd Porr
Publication date: 26 June 2006
Published in: Neural Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1162/neco.2006.18.6.1380
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Cites Work
- A simplified neuron model as a principal component analyzer
- Neural theory of association and concept-formation
- Computational consequences of temporally asymmetric learning rules. I: Differential Hebbian learning
- Temporal Difference Model Reproduces Anticipatory Neural Activity
- Isotropic Sequence Order Learning
- ISO Learning Approximates a Solution to the Inverse-Controller Problem in an Unsupervised Behavioral Paradigm
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