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Correction: Digital selection and analogue amplification coexist in a cortex-inspired silicon circuit

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  • Richard H. R. Hahnloser
  • Rahul Sarpeshkar
  • Misha A. Mahowald
  • Rodney J. Douglas
  • H. Sebastian Seung

Abstract

Nature 405, 947 — 951 (2000). There were two errors in the reference list of this paper. Reference 22 should have been: Sharpeshkar, R. Analog versus digital: extrapolating from electronics to neurobiology. Neural Comput. 10, 1601–1638 (1998). Also, the following reference was omitted but should have been cited along with refs 5–9 at the top of page 948.

Suggested Citation

  • Richard H. R. Hahnloser & Rahul Sarpeshkar & Misha A. Mahowald & Rodney J. Douglas & H. Sebastian Seung, 2000. "Correction: Digital selection and analogue amplification coexist in a cortex-inspired silicon circuit," Nature, Nature, vol. 408(6815), pages 1012-1012, December.
    • Handle: RePEc:nat:nature:v:408:y:2000:i:6815:d:10.1038_35050018
    DOI: 10.1038/35050018
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    14. Jingfen Lan & Ziheng Liao & A. K. Alvi Haque & Qiang Yu & Kun Xie & Yang Guo, 2024. "CNVbd: A Method for Copy Number Variation Detection and Boundary Search," Mathematics, MDPI, vol. 12(3), pages 1-15, January.
    15. Gianluca De Nard & Simon Hediger & Markus Leippold, 2022. "Subsampled factor models for asset pricing: The rise of Vasa," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(6), pages 1217-1247, September.
    16. Hancock, Thomas O. & Broekaert, Jan & Hess, Stephane & Choudhury, Charisma F., 2020. "Quantum probability: A new method for modelling travel behaviour," Transportation Research Part B: Methodological, Elsevier, vol. 139(C), pages 165-198.
    17. Bernhard Nessler & Michael Pfeiffer & Lars Buesing & Wolfgang Maass, 2013. "Bayesian Computation Emerges in Generic Cortical Microcircuits through Spike-Timing-Dependent Plasticity," PLOS Computational Biology, Public Library of Science, vol. 9(4), pages 1-30, April.
    18. González-Muñiz, Ana & Díaz, Ignacio & Cuadrado, Abel A. & García-Pérez, Diego, 2022. "Health indicator for machine condition monitoring built in the latent space of a deep autoencoder," Reliability Engineering and System Safety, Elsevier, vol. 224(C).

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