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• W2891283927 abstract "Neural field theory is used to model and analyze realistic corticothalamic responses to simple visual stimuli. This yields system transfer functions that embody key features in common with those of engineering control systems, which enables interpretation of brain dynamics in terms of data filters. In particular, these features assist in finding internal signals that represent input stimuli and their changes, which are exactly the types of quantities used in control systems to enable prediction of future input signals, and adjustment of gains which is argued to be the analog of attention in control theory. Corticothalamic dynamics are shown to be analogous to the classical proportional-integral-derivative (PID) filters that are widely used in engineering." @default.
• W2891283927 created "2018-09-27" @default.
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• W2891283927 date "2018-09-10" @default.
• W2891283927 modified "2023-09-27" @default.
• W2891283927 title "Neural Field Theory of Corticothalamic Prediction With Control Systems Analysis" @default.
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• W2891283927 doi "https://doi.org/10.3389/fnhum.2018.00334" @default.
• W2891283927 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6139319" @default.
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