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The visual information we receive in the real world is usually prioritized through time as well as space. Evidence presented by Watson and Humphreys [18] supports the view that new information in search tasks is prioritised by (amongst other processes) active ignoring of old items - a process they termed visual marking. In this work we present, an explicit computational model of visual marking using biologically plausible activation functions. The "spiking search over time and space" model (sSoTS) incorporates different synaptic components (NMDA, AMPA, GABA) and a frequency adaptation mechanism based on [Ca2 +] sensitive K+ current. This frequency adaptation current when coupled with a process of active inhibition applied to old items, leads to old items being de-prioritised (and new items prioritised) across time in search. Furthermore, sSoTS can simulate the temporal dynamics of preview search [13] and dual task experimental results [12]. The results indicate that the sSoTS model can provide a biologically plausible account of human search over time as well as space. © Springer-Verlag Berlin Heidelberg 2007.

Original publication




Journal article


Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Publication Date



4840 LNAI


338 - 351