Title

Discovering Non-Coding Rna Elements In Drosophila 3′ Untranslated Regions

Keywords

adaptive spiking behavior; parameter estimation; spiking neuron; weighted least squares estimation

Abstract

The problem of finding parameters of an adaptive quadratic spiking neuron model in order to fit data derived from in vitro embryonic rat motoneurons is addressed. Since the model does not fit the shape of the experimental action potential, we utilize a correlation based technique to extract input-independent spike areas, and pre-distort these areas such that they conform to the model assumptions. Simulation results show that the spike train is accurately predicted. © 2012 IEEE.

Publication Date

5-8-2012

Publication Title

2012 IEEE 2nd International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2012

Number of Pages

-

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1109/ICCABS.2012.6182650

Socpus ID

84860516685 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84860516685

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