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Error is the deviation of the obtained result from the true, expected value or the estimated central value. Errors are expressed in absolute or relative terms.
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Organisms are capable of detecting and fixing nucleotide mismatches that occur during DNA replication. This sophisticated process requires identifying the new strand and replacing the erroneous bases with correct nucleotides. Mismatch repair is coordinated by many proteins in both prokaryotes and eukaryotes.
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When one or more data points appear far from the rest of the data, there is a need to determine whether they are outliers and whether they should be eliminated from the data set to ensure an accurate representation of the measured value. In many cases, outliers arise from gross errors (or human errors) and do not accurately reflect the underlying phenomenon. In some cases, however, these apparent outliers reflect true phenomenological differences. In these cases, we can use statistical methods...
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Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
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Updated: Sep 15, 2025

Rare Event Detection Using Error-corrected DNA and RNA Sequencing
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Global error signal guides local optimization in mismatch calculation.

John Hongyu Meng1, Xiao-Jing Wang1

  • 1Center for Neural Science, New York University, New York, 10003, NY, United States.

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Summary

Corollary discharge, internal signals predicting sensory consequences of actions, attenuates self-stimulation. A new model explains this neural mechanism using a three-factor learning rule for prediction error computation.

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Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Systems Neuroscience

Background:

  • Corollary discharge predicts sensory outcomes of self-generated actions.
  • This prediction mechanism attenuates responses to self-produced stimuli.
  • Understanding the neural basis of this predictive processing is crucial.

Purpose of the Study:

  • To investigate the neural circuit mechanisms underlying corollary discharge.
  • To develop a biologically plausible computational model for prediction error computation.

Main Methods:

  • Introduction of a novel three-factor learning rule.
  • Development of a neural network model with prediction error neurons.
  • Analysis of neural data from motor-visual and motor-auditory mismatch experiments in mice.

Main Results:

  • The model successfully accounts for observed motor-visual and motor-auditory mismatch responses.
  • The model predicts a bimodal distribution of activity correlation with prediction, supported by experimental data.
  • The study links global modulatory signals to local synaptic plasticity for predictive error calculation.

Conclusions:

  • The proposed three-factor learning rule provides a viable mechanism for corollary discharge.
  • Disruptions in inhibitory processes can impair mismatch computation in specific ways.
  • The findings offer insights into predictive coding in sensory systems.