Reactive inhibition is a phrase coined by Clark L. Hull in his 1943 book titled Principles of Behavior. He defined it as:
Whenever any reaction is evoked in an organism there is left a condition or state which acts as a primary negative motivation in that it has an innate capacity to produce a cessation of the activity which produced the state. Reactive inhibition is typically studied in the context of drive reduction. Hull likens it to fatigue through which humans become tired over time and thus less accurate and precise within a given task. There is significant debate whether the process of reactive inhibition is due to fatigue or some other process. Nevertheless, it is a factor researchers need to consider in analyses of sustained performance due to its possible role in the results and analysis of research. Hull goes on to further explain the decay of performance through the use of a decay formula which can estimate the rate of performance deterioration. Hull explains:
I dissipates exponentially with time t:With the passage of time since its formation IR spontaneously dissipates approximately as a simple decay function of the time t elapsed, i.e.,
I R ′ = I R x 10 − a t {\displaystyle I'_{R}=I_{R}x10^{-at}} (Hull, 1951, p. 74).Hull's decay formula is somewhat awkward and might give rise to confusion. For example, I'R does not refer to the derivative of IR. A more convenient way of writing the formula would be as follows:
I ( t ) = I ( 0 ) e − b t {\displaystyle I(t)=I(0)e^{-bt}}
with b = a ln ( 10 ) {\displaystyle b=a\ln(10)} . I ( 0 ) {\displaystyle I(0)} is the inhibition at the beginning of the time interval [0,t]. Note that if one takes the natural logarithm of both sides one obtains:
Y ( t ) = Y ( 0 ) − b t {\displaystyle Y(t)=Y(0)-bt}
where Y ( t ) = ln I ( t ) {\displaystyle Y(t)=\ln I(t)} and Y ( 0 ) = ln I ( 0 ) {\displaystyle Y(0)=\ln I(0)} . The last formula is used in inhibition theory. Reactive inhibition is distinct from proactive inhibition. Reactive inhibition occurs after an initial response has been activated and set to be carried out. In contrast, proactive inhibition determines whether or not the response process is activated in the future and occurs before initial activation. Reactive inhibition is considered to be a bottom-up processing process and associated with "lower level mechanisms of inhibition", whereas proactive inhibition is considered more top-down processing and dealing with "higher level mechanisms".
Applications Reactive inhibition may be important in everyday life during a process in which a decline in performance can be detrimental such as driving a car during rush hour. For example, Kathaus, Washcer, & Getzmann (2018) found that older adults who showed a tendency towards reactive inhibition, determined through electroencephalography measures, showed higher "driving lane variability" and more impairment. Although older adults matched younger adults in their lane keeping abilities, they were unable to change lanes as effectively when they relied on reactive inhibition. Another study also revolving around younger vs older adults in the realm of inhibition found that older adults had decreased reactive inhibition but sustain proactive inhibition overall. By using a smart phone app, participants played a game in which two apples were falling from either side of the tree. They were to tap either apple but not press one of the apples if that apple turned brown or "rotten". This is similar to a Stop Signal Task as described below. Some of these trials were primed for a person to expect a change and others not. What was found was a decreased ability in older adults to inhibit an action when they were not primed thus indicating a deficit in reactive inhibition. Researchers have also studied reactive inhibition within the context of ADHD. It is commonly accepted that decreased inhibition abilities are a prominent aspect of the symptoms associated with ADHD. Within the context of the Stop Signal Task studies point to an inability to switch attention the signal switches from a go signal, to stop, which can be compared to environmental changes in the world. Further, it is proven that reactive inhibition in particular is affected in individuals with ADHD and related ADHD symptoms, and may not even have an impact on proactive inhibition at all. The ability to inhibit can impact children's learning abilities and is a lack of reactive inhibition is present in many learning disorders.
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