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In this paper, we describe conceptual and computational model of attention and attentional learning for intelligent software agents in the context of the broad-based biologically inspired cognitive architecture, LIDA.
Some of our data support a normalization model of attention, but the latter would have predicted positive correlations between attentional MIs and surround MIs for all comparisons, which we did not find, and notably not for a critical comparison as shown in Fig. 5A.
We first introduce a dynamic model of attention growth and derive the distribution of trend durations for all topics.
The major theoretical underpinning of the analgesic effect of distraction relies on the limited-capacities model of attention.
The spontaneously hypertensive rat (SHR) has been used as a genetic animal model of attention deficit/hyperactivity disorder (ADHD).
Findings were interpreted within the framework of Corbetta, Patel and Schulmann's (2008) networks model of attention control.
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Substrains of the Spontaneously Hypertensive rat (SHR), a putative animal model of Attention-Deficit/Hyperactivity Disorder (ADHD), have demonstrated increased sensitivity to many drugs of abuse, including psychostimulants.
Effects of exposure to the three ortho-substituted PCBs found in human breast milk were evaluated using a procedure developed to study behavioral changes in a rat model of Attention-Deficit/Hyperactivity Disorder [ 40, 46].
Thereafter, the animals were tested in standard operant test chambers using a simultaneous visual discrimination procedure developed for testing behavioral changes in an animal model of Attention-Deficit/Hyperactivity Disorder (ADHD) [ 39- 41].
The prediction by the fatty acid model of attention-deficit hyperactivity disorder [ 37] that there might be an increase in cerebral phospholipid breakdown in this disorder was difficult to test directly using magnetic resonance spectroscopy, but a breath test investigation did indeed demonstrate raised levels of ethane in such children [ 17].
Most models of attention are bottom-up and biologically inspired.
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examples of attention
modes of attention
models of attention
model of collaboration
model of predictability
model of production
model of success
model of precision
model of rehabilitation
model of inclusiveness
model of dysfunction
model of patience
model of consistency
model of collegiality
model of conservatism
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