Department of Psychology, Arizona State University Tempe, AZ, USA.
Front Psychol. 2013 Jul 1;4:373. doi: 10.3389/fpsyg.2013.00373. eCollection 2013.
Absent minded people are not under the control of task-relevant stimuli. According to the Neuroenergetics Theory of attention (NeT), this lack of control is often due to fatigue of the relevant processing units in the brain caused by insufficient resupply of the neuron's preferred fuel, lactate, from nearby astrocytes. A simple drift model of information processing accounts for response-time statistics in a paradigm often used to study inattention, the Sustained Attention to Response Task (SART). It is suggested that errors and slowing in this fast-paced, response-engaging task may have little to due with inattention. Slower-paced and less response-demanding tasks give greater license for inattention-aka absent-mindedness, mind-wandering. The basic NeT is therefore extended with an ancillary model of attentional drift and recapture. This Markov model, called NEMA, assumes probability λ of lapses of attention from 1 s to the next, and probability α of drifting back to the attentional state. These parameters measure the strength of attraction back to the task (α), or away to competing mental states or action patterns (λ); their proportion determines the probability of the individual being inattentive at any point in time over the long run. Their values are affected by the fatigue of the brain units they traffic between. The deployment of the model is demonstrated with a data set involving paced responding.
心不在焉的人无法控制与任务相关的刺激。根据注意力的神经能量理论(NeT),这种缺乏控制通常是由于大脑中相关处理单元的疲劳,而这种疲劳是由于神经元首选燃料——乳酸盐——不能从附近的星形胶质细胞得到充分补充所致。一种简单的信息处理漂移模型可以解释在一种常用于研究注意力不集中的范式中反应时间的统计数据,即持续注意反应任务(SART)。该模型表明,在这个快速、需要反应的任务中,错误和减速与注意力不集中关系不大。节奏较慢、要求较低的任务会让人更容易分心——也就是心不在焉、思维漫游。因此,基本的 NeT 模型扩展为一个注意力漂移和重新捕获的辅助模型。这个马尔可夫模型称为 NEMA,它假设注意力从 1 秒到下 1 秒的转移概率为 λ,以及漂移回注意力状态的概率为 α。这些参数衡量了个体被吸引回到任务(α)或被吸引到竞争的心理状态或行为模式(λ)的强度;它们的比例决定了个体在长时间内任何时候注意力不集中的概率。它们的值受到它们在大脑单元之间传输的疲劳程度的影响。该模型的应用通过涉及节奏反应的数据进行了演示。