How neuronal activity is integrated over time may largely rely on excitatory and inhibitory mechanisms. This is a general principle in dynamic neural field models, where local excitation and lateral inhibition (i.e., the “Mexican hat”) shape the output of neural networks (e.g., Amari,
1977). This is also a key assumption in the majority of models of saccade generation, which account for the metrics and/or the latency of saccadic eye movements based on lateral interactions within a “map” of the type found in the intermediate and the deeper layers of the superior colliculus or SC (Arai & Keller,
2004; Kopecz & Schöner,
1995; Meeter, Van der Stigchel, & Theeuwes,
2010; Trappenberg, Dorris, Munoz, & Klein,
2001; van Opstal & van Gisbergen,
1989; Wilimzig, Schneider, & Schöner,
2006; but see Findlay & Walker,
1999). These models rely on neurophysiological investigations suggesting that there are lateral interactions in the SC (e.g., McIlwain,
1982; Meredith & Ramoa,
1978; Munoz & Istvan,
1978; for a review, see Isa & Hall,
2009). Lateral interactions presumably operate across as well as within the colliculi, with intra-collicular connections conveying different signals depending on their extent; short-range connections spread excitation to neighboring sites while long-range connections inhibit remote locations. Such local excitatory and distant inhibitory interactions would reshape the neuronal activity profile that initially builds up as a result of visual stimulation. They would favor over time, in conjunction with endogenous influences, the emergence of a single peak of activity in the deeper layers of the SC, thereby determining where the eyes move.