[Illinois]: Running Average

By Bara Saadah1; Nahil Sobh1

1. University of Illinois at Urbana-Champaign

This tool implements a running average of a noise series.

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Archive Version 1.0
Published on 24 Jul 2013
Latest version: 1.2b. All versions

doi:10.4231/D3RR1PM7N cite this

This tool is closed source.

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Abstract

Perception is not a function of bottom-up sensory input alone, but involves an interaction between bottom-up signals from the sensory organs and top-down signals from higher brain regions. Top-down connection in higher cortical figures may carry signals indicating the features that higher centers "anticipate" will be present in the bottom-up sensory signals arriving from lower centers. An interaction with Bottom-up/Top-down processes is clearly at work in the higher cortical processes and models the Predictor Corrector System Mechanisms using expectations as predictors and visual observations as the corrector. The input is a noise simulated by the Gaussian Distribution while the running average is the output from the mean of the input when it is offset. When the true average approaches the real value, then your correction weight decreases.

Sponsored by

NanoBio Node, University of Illinois Champaign-Urbana

References

Anastasio, Thomas J. Tutorial on Neural Systems Modeling. Sunderland: Sinauer Associates, 2010. Print.

Cite this work

Researchers should cite this work as follows:

  • Bara Saadah, Nahil Sobh (2014), "[Illinois]: Running Average," https://nanohub.org/resources/runningaverage. (DOI: 10.4231/D3RR1PM7N).

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Tags

  1. nano/bio