@inbook {IOPORT.05612333,
    author       = {Guazzini, Andrea and Li\'o, Pietro and Passarella, Andrea and Conti, Marco},
    title        = {Information processing and timing mechanisms in vision.},
    year         = {2009},
    booktitle    = {Artificial neural networks -- ICANN 2009. 19th international conference, Limassol, Cyprus, September 14--17, 2009. Proceedings, Part I},
    isbn         = {978-3-642-04273-7},
    pages        = {325-334},
    publisher    = {Berlin: Springer},
    doi          = {10.1007/978-3-642-04274-4_34},
    abstract     = {Summary: Researches of neural mechanism of time perception is one of the fastest growing areas of neuroscience. The visual system presents several examples of timing mechanisms. Its activity is characterized by a complex network of synchronized elements which cooperate together. Some authors recently proposed that neural circuits should be inherently capable of temporal processing as a result of the natural complexity of cortical networks coupled with the presence of time-dependent network properties. We present an adaptive feedback model which, through a temporal-to-spatial transformation is able to explain recent experiments on the relationships between vision and time/space perception.},
    identifier   = {05612333},
}