Distributed and Dynamic Storage of Working Memory Stimulus Information in Extrastriate Cortex

• Published in: Journal of cognitive neuroscience Vol. 26; no. 5; pp. 1141 - 1153
• Main Authors: Sreenivasan, Kartik K., Vytlacil, Jason, D'Esposito, Mark
• Format: Journal Article
• Language: English
• Published: One Rogers Street, Cambridge, MA 02142-1209, USA MIT Press 01.05.2014; MIT Press Journals, The
• Subjects: Adolescent; Adult; Brain; Female; Humans; Information; Magnetic Resonance Imaging - methods; Male; Memory; Memory, Short-Term - physiology; Neurons; Neurosciences; NMR; Nuclear magnetic resonance; Photic Stimulation - methods; Time Factors; Visual Cortex - physiology; Young Adult
• ISSN: 0898-929X; 1530-8898
• DOI: 10.1162/jocn_a_00556

The predominant neurobiological model of working memory (WM) posits that stimulus information is stored via stable, elevated activity within highly selective neurons. On the basis of this model, which we refer to as the canonical model, the storage of stimulus information is largely associated with lateral PFC (lPFC). A growing number of studies describe results that cannot be fully explained by the canonical model, suggesting that it is in need of revision. In this study, we directly tested key elements of the canonical model. We analyzed fMRI data collected as participants performed a task requiring WM for faces and scenes. Multivariate decoding procedures identified patterns of activity containing information about the items maintained in WM (faces, scenes, or both). Although information about WM items was identified in extrastriate visual cortex (EC) and lPFC, only EC exhibited a pattern of results consistent with a sensory representation. Information in both regions persisted even in the absence of elevated activity, suggesting that elevated population activity may not represent the storage of information in WM. Additionally, we observed that WM information was distributed across EC neural populations that exhibited a broad range of selectivity for the WM items rather than restricted to highly selective EC populations. Finally, we determined that activity patterns coding for WM information were not stable, but instead varied over the course of a trial, indicating that the neural code for WM information is dynamic rather than static. Together, these findings challenge the canonical model of WM.