Abstract
Almost all theoretical and experimental studies of the mechanisms underlying learning and memory focus on synaptic efficacy and make the implicit assumption that changes in synaptic efficacy are both necessary and sufficient to account for learning and memory. However, network dynamics depends on the complex interaction between intrinsic membrane properties and synaptic strengths and time courses. Furthermore, neuronal activity itself modifies not only synaptic efficacy but also the intrinsic membrane properties of neurons. This paper presents examples demonstrating that neurons with complex temporal dynamics can provide short-term “memory” mechanisms that rely solely on intrinsic neuronal properties. Additionally, we discuss the potential role that activity may play in long-term modification of intrinsic neuronal properties. While not replacing synaptic plasticity as a powerful learning mechanism, these examples suggest that memory in networks results from an ongoing interplay between changes in synaptic efficacy and intrinsic membrane properties.
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Dates
Type | When |
---|---|
Created | 23 years, 1 month ago (July 26, 2002, 10:34 a.m.) |
Deposited | 3 years, 4 months ago (April 13, 2022, 2:56 p.m.) |
Indexed | 4 days, 13 hours ago (Aug. 27, 2025, 12:30 p.m.) |
Issued | 28 years, 9 months ago (Nov. 26, 1996) |
Published | 28 years, 9 months ago (Nov. 26, 1996) |
Published Online | 28 years, 9 months ago (Nov. 26, 1996) |
Published Print | 28 years, 9 months ago (Nov. 26, 1996) |
@article{Marder_1996, title={Memory from the dynamics of intrinsic membrane currents}, volume={93}, ISSN={1091-6490}, url={http://dx.doi.org/10.1073/pnas.93.24.13481}, DOI={10.1073/pnas.93.24.13481}, number={24}, journal={Proceedings of the National Academy of Sciences}, publisher={Proceedings of the National Academy of Sciences}, author={Marder, Eve and Abbott, L. F. and Turrigiano, Gina G. and Liu, Zheng and Golowasch, Jorge}, year={1996}, month=nov, pages={13481–13486} }