Center for Integrative & Cognitive Neuroscience, Vanderbilt Vision Research Center, Department of Psychology, Vanderbilt University, Nashville, Tennessee 37240, USA.
J Neurosci. 2011 Aug 31;31(35):12604-12. doi: 10.1523/JNEUROSCI.1868-11.2011.
Humans and macaque monkeys adjust their response time adaptively in stop-signal (countermanding) tasks, responding slower after stop-signal trials than after control trials with no stop signal. We investigated the neural mechanism underlying this adaptive response time adjustment in macaque monkeys performing a saccade countermanding task. Earlier research showed that movements are initiated when the random accumulation of presaccadic movement-related activity reaches a fixed threshold. We found that a systematic delay in response time after stop-signal trials was accomplished not through a change of threshold, baseline, or accumulation rate, but instead through a change in the time when activity first began to accumulate. The neurons underlying movement initiation have been identified with stochastic accumulator models of response time performance. Therefore, this new result provides surprising new insights into the neural instantiation of stochastic accumulator models and the mechanisms through which executive control can be exerted.
人类和猕猴在停止信号(撤销)任务中会自适应地调整反应时间,在有停止信号的试验中比没有停止信号的控制试验中反应更慢。我们研究了猕猴在执行扫视撤销任务时,这种自适应反应时间调整的神经机制。早期的研究表明,当与预扫视运动相关的活动随机积累达到固定阈值时,运动就会开始。我们发现,在停止信号试验后反应时间的系统延迟不是通过改变阈值、基线或积累率来实现的,而是通过改变活动开始积累的时间来实现的。运动起始的神经元已经通过反应时间性能的随机累加器模型得到了识别。因此,这个新的结果为随机累加器模型的神经实现以及执行控制可以施加的机制提供了令人惊讶的新见解。