Criticality meets learning: Criticality signatures in a self-organizing recurrent neural network
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DOI: 10.1371/journal.pone.0178683
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References listed on IDEAS
- Shree Hari Gautam & Thanh T Hoang & Kylie McClanahan & Stephen K Grady & Woodrow L Shew, 2015. "Maximizing Sensory Dynamic Range by Tuning the Cortical State to Criticality," PLOS Computational Biology, Public Library of Science, vol. 11(12), pages 1-15, December.
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Cited by:
- Choi, Jaesung & Kim, Pilwon, 2020. "Reservoir computing based on quenched chaos," Chaos, Solitons & Fractals, Elsevier, vol. 140(C).
- Menesse, Gustavo & Marin, Bóris & Girardi-Schappo, Mauricio & Kinouchi, Osame, 2022. "Homeostatic criticality in neuronal networks," Chaos, Solitons & Fractals, Elsevier, vol. 156(C).
- Safaeesirat, Amin & Moghimi-Araghi, Saman, 2022. "Critical behavior at the onset of synchronization in a neuronal model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 587(C).
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