Department of Epileptology, University of Bonn, Sigmund-Freud-Str. 25, 53105 Bonn, Germany; Faculty of Psychology, Swiss Distance Learning University, Überlandstrasse 12, 3900 Brig, Switzerland.
Department of Epileptology, University of Bonn, Sigmund-Freud-Str. 25, 53105 Bonn, Germany.
Conscious Cogn. 2018 May;61:49-60. doi: 10.1016/j.concog.2018.03.013. Epub 2018 Apr 10.
Charting mental acts that succeed or fail under unconscious instances of cognition informs debates on the nature and potential functions of consciousness. A prominent method to exclude conscious contributions to cognition is to render visual stimuli unconscious by short and pattern-masked presentations. Here, we explore a combination of visual masking and pixel noise added to visual stimuli as a method to adapt discriminability in a fine-grained fashion to subject- and stimulus-specific estimates of perceptual thresholds. Estimates of the amount of pixel noise corresponding to perceptual thresholds are achieved by psychometric adaptive algorithms in an identification task. Afterwards, the feasibility of instrumental conditioning is tested at four levels of cue discriminability relative to previously acquired estimates of perceptual thresholds. In contrast to previous reports (Pessiglione et al., 2008), no evidence for the feasibility of instrumental condition was gathered when contributions of conscious cognition were excluded.
绘制在无意识认知情况下成功或失败的心理活动图,有助于探讨意识的本质和潜在功能。一种排除意识对认知贡献的突出方法是通过短暂和模式掩蔽呈现来使视觉刺激失去意识。在这里,我们探索了视觉掩蔽和添加到视觉刺激中的像素噪声的组合,作为一种以精细方式适应主体和刺激特定感知阈值估计的可辨别性的方法。在识别任务中,通过心理物理自适应算法估计与先前获得的感知阈值估计相对应的像素噪声量。之后,相对于先前获得的感知阈值估计,在四个线索可辨别性水平上测试工具条件的可行性。与以前的报告(Pessiglione 等人,2008)相反,当排除有意识认知的贡献时,没有收集到工具条件可行性的证据。