File:Spiking BCPNN learning rule.png

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Summary

Description
English: The image shows how pre- and postsynaptic spiking input is passed through a cascade of exponential moving average filters to produce Z-traces, E-traces and, finally, P-traces from which postsynaptic bias and synaptic weights are calculated.
Date
Source https://www.frontiersin.org/articles/10.3389/fnsyn.2014.00008/full
Author Dr Philip Tully

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Captions

Computational cascade of the spiking, incremental BCPNN learning rule

Items portrayed in this file

depicts

8 April 2014

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Date/TimeThumbnailDimensionsUserComment
current19:33, 5 April 2021Thumbnail for version as of 19:33, 5 April 20211,213 × 624 (190 KB)NalnadUploaded a work by Dr Philip Tully from https://www.frontiersin.org/articles/10.3389/fnsyn.2014.00008/full with UploadWizard
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