Imaging of brain structures in living mice reveals that learning new tasks leads to persistent remodelling of synaptic structures, with each new skill associated with a small and unique assembly of new synapses.
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References
Xu, T. et al. Nature 462, 915–919 (2009).
Yang, G., Pan, F. & Gan, W.-B. Nature 462, 920–924 (2009).
Holtmaat, A. & Svoboda, K. Nature Rev. Neurosci. 10, 647–658 (2009).
Denk, W., Strickler, J. H. & Webb, W. W. Science 248, 73–76 (1990).
Bhatt, D. H., Zhang, S. & Gan, W. B. Annu. Rev. Physiol. 71, 261–282 (2009).
Alvarez, V. A. & Sabatini, B. L. Annu. Rev. Neurosci. 30, 79–97 (2007).
Knott, G. W., Holtmaat, A., Wilbrecht, L., Welker, E. & Svoboda, K. Nature Neurosci. 9, 1117–1124 (2006).
Nägerl, U. V., Köstinger, G., Anderson, J. C., Martin, K. A. & Bonhoeffer, T. J. Neurosci. 27, 8149–8156 (2007).
Jontes, J. D. & Smith, S. J. Neuron 27, 11–14 (2000).
Holtmaat, A., Wilbrecht, L., Knott, G. W., Welker, E. & Svoboda, K. Nature 441, 979–983 (2006).
Hebb, D. O. A Neuropsychological Theory (Wiley, 1949).
Crow, T. J. Nature 219, 736–737 (1968).
Kety, S. S. in Neurosciences: Second Study Program (ed. Schmitt, F. O.) 324–336 (Rockefeller Univ. Press, 1970).
Molina-Luna, K., Pekanovic, A., Röhrich, S., Hertler, B. & Schubring-Giese, M. PLoS ONE 4, e7082 (2009).
Hopfield, J. J. Proc. Natl Acad. Sci. USA 79, 2554–2558 (1982).
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Ziv, N., Ahissar, E. New tricks and old spines. Nature 462, 859–861 (2009). https://doi.org/10.1038/462859a
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DOI: https://doi.org/10.1038/462859a
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