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10.1007/s10827-013-0475-3

http://scihub22266oqcxt.onion/10.1007/s10827-013-0475-3
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C3918491!3918491!23929124
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suck abstract from ncbi


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pmid23929124      J+Comput+Neurosci 2014 ; 36 (3): 321-37
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  • On Parsing the Neural Code in the Prefrontal Cortex of Primates using Principal Dynamic Modes #MMPMID23929124
  • Marmarelis VZ; Shin DC; Song D; Hampson RE; Deadwyler SA; Berger TW
  • J Comput Neurosci 2014[Jun]; 36 (3): 321-37 PMID23929124show ga
  • Nonlinear modeling of multi-input multi-output (MIMO) neuronal systems using Principal Dynamic Modes (PDMs) provides a novel method for analyzing the functional connectivity between neuronal groups. This paper presents the PDM-based modeling methodology and initial results from actual multi-unit recordings in the prefrontal cortex of non-human primates. We used the PDMs to analyze the dynamic transformations of spike train activity from Layer 2 (input) to Layer 5 (output) of the prefrontal cortex in primates performing a Delayed-Match-to-Sample task. The PDM-based models reduce the complexity of representing large-scale neural MIMO systems that involve large numbers of neurons, and also offer the prospect of improved biological/physiological interpretation of the obtained models. PDM analysis of neuronal connectivity in this system revealed "input-output channels of communication" corresponding to specific bands of neural rhythms that quantify the relative importance of these frequency-specific PDMs across a variety of different tasks. We found that behavioral performance during the Delayed-Match-to-Sample task (correct vs. incorrect outcome) was associated with differential activation of frequency-specific PDMs in the prefrontal cortex.
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