Simen Patrick
Department of Neuroscience, Oberlin College Oberlin, OH, USA.
Front Psychol. 2012 Jun 21;3:183. doi: 10.3389/fpsyg.2012.00183. eCollection 2012.
Most psychological models of perceptual decision making are of the accumulation-to-threshold variety. The neural basis of accumulation in parietal and prefrontal cortex is therefore a topic of great interest in neuroscience. In contrast, threshold mechanisms have received less attention, and their neural basis has usually been sought in subcortical structures. Here I analyze a model of a decision threshold that can be implemented in the same cortical areas as evidence accumulators, and whose behavior bears on two open questions in decision neuroscience: (1) When ramping activity is observed in a brain region during decision making, does it reflect evidence accumulation? (2) Are changes in speed-accuracy tradeoffs and response biases more likely to be achieved by changes in thresholds, or in accumulation rates and starting points? The analysis suggests that task-modulated ramping activity, by itself, is weak evidence that a brain area mediates evidence accumulation as opposed to threshold readout; and that signs of modulated accumulation are as likely to indicate threshold adaptation as adaptation of starting points and accumulation rates. These conclusions imply that how thresholds are modeled can dramatically impact accumulator-based interpretations of this data.
大多数知觉决策的心理学模型都属于累积至阈值类型。因此,顶叶和前额叶皮质中累积的神经基础是神经科学中一个备受关注的话题。相比之下,阈值机制受到的关注较少,其神经基础通常在皮层下结构中寻找。在这里,我分析了一种决策阈值模型,该模型可以在与证据累加器相同的皮层区域中实现,其行为与决策神经科学中的两个开放性问题相关:(1)在决策过程中,当在一个脑区观察到斜坡状活动时,它是否反映了证据累积?(2)速度-准确性权衡和反应偏差的变化更有可能是通过阈值变化实现的,还是通过累积率和起始点的变化实现的?分析表明,任务调制的斜坡状活动本身,并不能有力地证明一个脑区介导的是证据累积而非阈值读出;而且调制累积的迹象同样有可能表明是阈值适应,而非起始点和累积率的适应。这些结论意味着,阈值的建模方式会极大地影响基于累加器对这些数据的解释。