Abstract
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.
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Guazzini, A., Lió, P., Passarella, A., Conti, M. (2009). Information Processing and Timing Mechanisms in Vision. In: Alippi, C., Polycarpou, M., Panayiotou, C., Ellinas, G. (eds) Artificial Neural Networks – ICANN 2009. ICANN 2009. Lecture Notes in Computer Science, vol 5768. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04274-4_34
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DOI: https://doi.org/10.1007/978-3-642-04274-4_34
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