The DOI matches its Crossref record.
Negative Resistance Characteristic Essential for the Maintenance of Slow Oscillations in Bursting Neurons
Abstract
Voltage clamping giving step commands reveals a steady-state negative resistance characteristic in the current-voltage curves of Aplysia bursting neurons. This is observed below spike threshold in the unstable range through which the membrane potential slowly oscillates. The negative resistance characteristic underlies this instability and shapes the rapid depolarization-hyperpolarization phase of the cycle. When bursting cells are converted to silent cells (by cooling) the negative resistance is abolished; conversely, when normally silent cells are made to burst (by warming) a negative resistance develops. The presence of negative resistance thus enables the bursting cell to oscillate, whereas its absence precludes such oscillations.
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Citations
Cited by
Ionic Currents in Molluscan Soma
Adams, D. J., Smith, S. J., & Thompson, S. H. (1980) · Annual Review of Neuroscience · doi:10.1146/annurev.ne.03.030180.001041 · Cited by 323
Bursting Neural Networks: A Reexamination
Russell, D. F., & Hartline, D. K. (1978) · Science · doi:10.1126/science.644309 · Cited by 259
Roussel, Y., Paradis, M., Gaudreau, S. F., Lindsey, B. W., & Bui, T. V. (2020) · eneuro · doi:10.1523/eneuro.0508-18.2020 · Cited by 14
Metadata
- Authors
- Wilson, W. A., & Wachtel, H.
- Venue
- Science
- Published
- 1974-12-06
- Volume
- 186
- Issue
- 4167
- Pages
- 932-934
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2017834993
- Cited by
- 175
- References
- 0
- FWCI
- 6.71
- Type
- journal article
- Language
- en
- Open access
- closed
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- Wilson, W. A., & Wachtel, H. (1974). Negative Resistance Characteristic Essential for the Maintenance of Slow Oscillations in Bursting Neurons. Science. https://doi.org/10.1126/science.186.4167.932
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
