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The simultaneous type, serial token model of temporal attention and working memory.
The authors demonstrate that the ST2 model explains a spectrum of AB findings by modeling temporal attention results focused on the attentional blink (AB), and highlight a number of new temporal attention predictions arising from the ST1 theory. Expand
The attentional blink provides episodic distinctiveness: sparing at a cost.
The episodic simultaneous type, serial token model is described, a computational account of encoding visual stimuli into working memory that suggests that the attentional blink is a cognitive strategy rather than a resource limitation and addresses the phenomena of repetition blindness and whole report superiority. Expand
Oscillations and Episodic Memory: Addressing the Synchronization/Desynchronization Conundrum
It is argued that the synchronization and desynchronization reflect a division of labor between a hippocampal and a neocortical system, respectively, to explain how the two systems interact in the service of episodic memory. Expand
Attentional episodes in visual perception.
A computationally motivated theory suggesting that visual attention samples information from temporal episodes (episodic simultaneous type/serial token model) is presented, and it is demonstrated that participants were able to report more letters from a sequence of 4 targets presented in a dense temporal cluster than from a sequences of4 targets interleaved with nontargets. Expand
A neural network model of inhibitory processes in subliminal priming
Masked priming experiments have revealed a precise set of facilitatory and inhibitory visuomotor control processes. Most notably, inhibitory effects have been identified in which prime-targetExpand
The Temporal Signature of Memories: Identification of a General Mechanism for Dynamic Memory Replay in Humans
This work develops a new analysis method to detect the replay of temporal patterns in a paradigm that requires participants to mentally replay short sound or video clips and shows that memory reinstatement is accompanied by a decrease of low-frequency power, which carries a temporal phase signature of the replayed stimulus. Expand
Deep temporal models and active inference
This work has shown that reading can be simulated via active inference with deep models and that hierarchical or deep generative models of state transitions embody nested temporal structure. Expand
Strategic regulation of cognitive control by emotional salience: A neural network model
We present a neural network model of stimulus processing, which uses a mechanism of adaptive attentional control to regulate the moment to moment deployment of attention according to both the demandsExpand
Data-driven region-of-interest selection without inflating Type I error rate.
It is demonstrated, using simulations of simple ERP experiments, that data-driven ROI selection can indeed be more powerful than a priori hypotheses or independent information and it is shown that the aggregate grand average from trials (AGAT), despite being based on the data at hand, can be safely used forROI selection under many circumstances. Expand
Neural correlates of intrusion of emotion words in a modified Stroop task.
Reliable reaction time (RT) and event-related potential (ERP) data were collected from 23 participants who performed a manual emotional Stroop task with short and long inter-trial intervals to find and examine the neural correlates of this greater intrusion from negative emotional stimuli. Expand