Journal
NEUROSCIENCE
Volume 146, Issue 3, Pages 1082-1108Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.neuroscience.2006.12.072
Keywords
spike trains; monkeys; memory networks; parietal cortex; prefrontal cortex; computational models
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Funding
- NCRR NIH HHS [2 P41 RR13642] Funding Source: Medline
- NIMH NIH HHS [MH-25082, MH-01508, MH-51697] Funding Source: Medline
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Persistent elevated neuronal activity has been identified as the neuronal correlate of working memory. It is generally assumed in the literature and in computational and theoretical models of working memory that memory-cell activity is stable and replicable; however, this assumption may be an artifact of the averaging of data collected across trials, and needs experimental verification. In this study, we introduce a classification scheme to characterize the firing frequency trends of cells recorded from the cortex of monkeys during performance of working memory tasks. We examine the frequency statistics and variability of firing during baseline and memory periods. We also study the behavior of cells on individual trials and across trials, and explore the stability of cellular firing during the memory period. We find that cells from different firing-trend classes possess markedly different statistics. We also find that individual cells show substantial variability in their firing behavior across trials, and that firing frequency also varies markedly over the course of a single trial. Finally, the average frequency distribution is wider, the magnitude of the frequency increases from baseline to memory smaller, and the magnitude of frequency decreases larger than is generally assumed. These results may serve as a guide in the evaluation of current theories of the cortical mechanisms of working memory. (c) 2007 IBRO. Published by Elsevier Ltd. All rights reserved.
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