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Inhibitory Feedback Enables Predictive Learning of Multiple Sequences in Neural Networks
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Matteo Saponati, Martin Vinck
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38 |
4 |
471–498 |
2026 |
30.53 |
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Average Rating: 0.0 / 5
(0 Reviews)
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Potential for Reinforcement Learning in the Cerebellum
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Richard W. Prager, Richard Apps
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38 |
4 |
499–537 |
2026 |
22.01 |
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Average Rating: 0.0 / 5
(0 Reviews)
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The Cooperative Network Architecture: Learning Structured Networks as Representation of Sensory Patterns
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Pascal J. Sager, Jan M. Deriu, Benjamin F. Grewe, Thilo Stadelmann, Christoph von der Malsburg
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38 |
4 |
538–572 |
2026 |
48.72 |
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Average Rating: 0.0 / 5
(0 Reviews)
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Force Learning in Balanced Cortical E-I Networks
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Takashi Kanamaru, Kazuyuki Aihara
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38 |
4 |
573–601 |
2026 |
52.47 |
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Average Rating: 0.0 / 5
(0 Reviews)
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Multiclass Linear Perceptrons With Multiplicative Margins
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Dmitri Rachkovskij, Evgeny Osipov, Olexander Volkov, Daswin De Silva, Denis Kleyko
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38 |
4 |
602–650 |
2026 |
39.17 |
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Average Rating: 0.0 / 5
(0 Reviews)
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ReBaCCA-ss: Relevance-Balanced Continuum Correlation Analysis With Smoothing and Surrogating for Quantifying Similarity Between Population Spiking Activities
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Xiang Zhang, Chenlin Xu, Zhouxiao Lu, Haonan Wang, Dong Song
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38 |
4 |
651–680 |
2026 |
33.79 |
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Average Rating: 0.0 / 5
(0 Reviews)
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