@article{
 title = {The Simultaneous Type, Serial Token Model of Temporal Attention and Working Memory},
 type = {article},
 keywords = {attentional blink,neural networks,temporal attention,working memory},
 id = {c5cdf926-a088-3637-a4c0-559b61da4106},
 created = {2017-09-01T15:53:49.429Z},
 file_attached = {true},
 profile_id = {80da7853-f7b7-36a9-8e4c-d7ddb2d9e538},
 group_id = {a2333ea3-15a4-3d40-8d36-f0d9590ca926},
 last_modified = {2017-09-01T15:53:49.532Z},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {false},
 hidden = {false},
 abstract = {A detailed description of the simultaneous type, serial token (ST 2) model is presented. ST 2 is a model of temporal attention and working memory that encapsulates 5 principles: (a) M. M. Chun and M. C. Potter's (1995) 2-stage model, (b) a Stage 1 salience filter, (c) N. G. Kanwisher's (1987, 1991) types–tokens distinction, (d) a transient attentional enhancement, and (e) a mechanism for associating types with tokens called the binding pool. The authors instantiate this theoretical position in a connec-tionist implementation, called neural-ST 2 , which they illustrate by modeling temporal attention results focused on the attentional blink (AB). They demonstrate that the ST 2 model explains a spectrum of AB findings. Furthermore, they highlight a number of new temporal attention predictions arising from the ST 2 theory, which are tested in a series of behavioral experiments. Finally, the authors review major AB models and theories and compare them with ST 2 .},
 bibtype = {article},
 author = {Bowman, Howard and Wyble, Brad}
}

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