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How and over what timescales does neural reuse actually occur?

  • Francesco Donnarumma (a1), Roberto Prevete (a1) and Giuseppe Trautteur (a1)

We isolate some critical aspects of the reuse notion in Anderson's massive redeployment hypothesis (MRH). We notice that the actual rearranging of local neural circuits at a timescale comparable with the reactivity timescale of the organism is left open. We propose the concept of programmable neural network as a solution.

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Donnarumma, F. (2010) A model for programmability and virtuality in dynamical neural networks. Doctoral dissertation in Scienze Computazionali ed Informatiche (Computational and Information Sciences), Dipartimento di Matematica e Applicazioni “R. Caccioppoli,” Università di Napoli Federico II. Available at:
Donnarumma, F., Prevete, R. & Trautteur, G. (2007) Virtuality in neural dynamical systems. Poster presented at the International Conference on Morphological Computation, ECLT, Venice, Italy, March 26–28, 2007. Available at:
Dunn, N. A., Lockery, S. R., Pierce-Shimomura, J. T. & Conery, J. S. (2004) A neural network model of chemotaxis predicts functions of synaptic connections in the nematode Caenorhabditis elegans . Journal of Computational Neuroscience. 17(2):137–47.
Garzillo, C. & Trautteur, G. (2009) Computational virtuality in biological systems. Theoretical Computer Science 410:323–31.
Tamburrini, G. & Trautteur, G. (2007) A note on discreteness and virtuality in analog computing. Theoretical Computer Science 371:106–14.
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Behavioral and Brain Sciences
  • ISSN: 0140-525X
  • EISSN: 1469-1825
  • URL: /core/journals/behavioral-and-brain-sciences
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