ArticleNeuroscience bulletin2013
Encoding of rat working memory by power of multi-channel local field potentials via sparse non-negative matrix factorization.
Article in Neuroscience bulletin, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Cholinergic-Induced Specific Oscillations in the Medial Prefrontal Cortex to Reverse Propofol Anesthesia.Frontiers in neuroscience · 2021Article
- The neuroprotective and antidepressant-like effects of Hcyb1, a novel selective PDE2 inhibitor.CNS neuroscience & therapeutics · 2018Article
- Functional connectivity changes during a working memory task in rat via NMF analysis.Frontiers in behavioral neuroscience · 2015Article
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Authors and funding
6 authors.
Funding
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Abstract
Working memory plays an important role in human cognition. This study investigated how working memory was encoded by the power of multi-channel local field potentials (LFPs) based on sparse nonnegative matrix factorization (SNMF). SNMF was used to extract features from LFPs recorded from the prefrontal cortex of four Sprague-Dawley rats during a memory task in a Y maze, with 10 trials for each rat. Then the power-increased LFP components were selected as working memory-related features and the other components were removed. After that, the inverse operation of SNMF was used to study the encoding of working memory in the time-frequency domain. We demonstrated that theta and gamma power increased significantly during the working memory task. The results suggested that postsynaptic activity was simulated well by the sparse activity model. The theta and gamma bands were meaningful for encoding working memory.
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