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Biography

Prof. Massimiliano Versace

Boston University, USA


Email: maxversace@gmail.com


Qualifications

2007 Ph.D., Boston University, USA

1998 B.A., University of Trieste, USA


Publications(Selected)

  1. Versace, M., Zorzi, M. (2010). The role of dopamine in the maintenance of working memory in prefrontal cortex neurons: input-driven versus internally-driven networks. In press, International Journals of Neural Systems.
  2. Leveille, J., Versace, M., Grossberg, S. (2010). Running as fast as it can: How spikes form object groupings in the laminar circuits of visual cortex? .Journal of Computational Neuroscience, 28(2):323-46.
  3. Grossberg, S., and Versace, M. (2008). Spikes, synchrony, and attentive learning by laminar thalamocortical circuits. Brain Research, 1218C, 278-312 [Authors listed alphabetically].
  4. Versace, M, Ames, H., Leveille, J., Fortenberry, B., and Gorchetchnikov, A. (2008) KInNeSS: A modular framework for computational neuroscience. Neuroinformatics, 2008 Winter; 6(4):291-309. Epub 2008 Aug 10.
  5. Gorchetchnikov, A., Versace, M., and Hasselmo, M.E. (2005). A model of STDP based on spatially and temporally local information: Derivation and combination with gated decay. Neural Networks 18, 458–466.
  6. Versace, M., Bhatt, R., Hinds, O., and Shiffer, M. (2004). Predicting the exchange traded fund DIA with a combination of Genetic Algorithms and Neural Networks. Expert Systems with Applications. 27, 417–425.
  7. Leveille, J., Versace, M., Grossberg, S. (2009) Spiking dynamics of perceptual grouping in the laminar circuits of visual cortex. CAS/CNS-TR-09-004.
  8. Versace, M, Lorenz, S., St. Clair, T., Panko, M., and Carpenter, G. (2008). CNS Technology Lab Website: Administrative Guide. CAS/CNS-TR-08.
  9. Versace, M. (2007).  Laminar circuits for synchronous thalamocortical information processing and attentive stable learning by spiking neurons. PhD Thesis, Boston University.
  10. Grossberg, S., and Versace, M. (2006). From synapse to self: Spikes, synchrony, and attentive learning by laminar thalamocortical circuits. Technical Report CAS/CNS-TR-06-012 [Authors are listed alphabetically].