Instruct: Identify the main category of Biorxiv papers based on the titles and abstracts
Query: Simulating brain signals with predefined mutual correlations This technical note describes a simple linear algorithm which allows generating arbitrary number of signal time courses whose mutual correlations are defined by a given mathematically consistent correlation matrix. This is achieved by mixing some seed set of waveforms typically reflecting desired specific features of the target brain signals. If needed the resulting signals can be properly tapered to be neurophysiologically plausible. For multi-epoch designs the generated waveforms may also include a "phase-locked" component which does not vary between the epochs.
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The categories of this paper are: cancer
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The categories of this paper are: evolutionary
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The categories of this paper are: physiology
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The categories of this paper are: biochemistry
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The categories of this paper are: cognition
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The categories of this paper are: education
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The categories of this paper are: paleontology
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The categories of this paper are: pharmacology
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The categories of this paper are: communication
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The categories of this paper are: scientific
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The categories of this paper are: genetics
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The categories of this paper are: microbiology
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The categories of this paper are: synthetic
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The categories of this paper are: biophysics
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The categories of this paper are: immunology
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The categories of this paper are: biology