Technical Program

Paper Detail

Paper: PS-1B.28
Session: Poster Session 1B
Location: Symphony/Overture
Session Time: Thursday, September 6, 18:45 - 20:45
Presentation Time:Thursday, September 6, 18:45 - 20:45
Presentation: Poster
Publication: 2018 Conference on Cognitive Computational Neuroscience, 5-8 September 2018, Philadelphia, Pennsylvania
Paper Title: A variational image reconstruction algorithm reveals distortion and uncertainty in mental imagery
Manuscript:  Click here to view manuscript
Authors: Thomas Naselaris, Medical University of South Carolina, United States
Abstract: Subjective reports on mental images may not be consistent with the appearance of seen images (distortion), and may not be consistent with each other (uncertainty). We introduce a method for estimating the distortions and uncertainty associated with mental images from subjective reports. Application of the method to a small preliminary dataset suggests that distortion and uncertainty in mental imagery arise from overscaling and undersampling imagined objects.