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Plasticity in single neuron and circuit computations

Author

Listed:
  • Alain Destexhe

    (Integrative and Computational Neuroscience Unit (UNIC), CNRS)

  • Eve Marder

    (Volen Center, Brandeis University)

Abstract

Plasticity in neural circuits can result from alterations in synaptic strength or connectivity, as well as from changes in the excitability of the neurons themselves. To better understand the role of plasticity in the brain, we need to establish how brain circuits work and the kinds of computations that different circuit structures achieve. By linking theoretical and experimental studies, we are beginning to reveal the consequences of plasticity mechanisms for network dynamics, in both simple invertebrate circuits and the complex circuits of mammalian cerebral cortex.

Suggested Citation

  • Alain Destexhe & Eve Marder, 2004. "Plasticity in single neuron and circuit computations," Nature, Nature, vol. 431(7010), pages 789-795, October.
    • Handle: RePEc:nat:nature:v:431:y:2004:i:7010:d:10.1038_nature03011
    DOI: 10.1038/nature03011
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    Cited by:

    1. Michał Bulc & Jarosław Całka & Katarzyna Palus, 2022. "Administration of Different Doses of Acrylamide Changed the Chemical Coding of Enteric Neurons in the Jejunum in Gilts," IJERPH, MDPI, vol. 19(21), pages 1-14, November.
    2. Yao, Zhao & Zhou, Ping & Alsaedi, Ahmed & Ma, Jun, 2020. "Energy flow-guided synchronization between chaotic circuits," Applied Mathematics and Computation, Elsevier, vol. 374(C).
    3. Parastesh, Fatemeh & Azarnoush, Hamed & Jafari, Sajad & Hatef, Boshra & Perc, Matjaž & Repnik, Robert, 2019. "Synchronizability of two neurons with switching in the coupling," Applied Mathematics and Computation, Elsevier, vol. 350(C), pages 217-223.

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