Work

Poster: Parameter estimation for a reduced order spiking neuron model with relevance to in vitro embryonic rat motoneuronal data

Year: 2012

Type: conference-paper

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.

Source: IEEE International Conference on Computational Advances in Bio and Medical Sciences

DOI: 10.1109/iccabs.2012.6182663

Authors: Lingfei Zhi, Zhao Wang, Aman Behal

Institution: University of Central Florida

Language: English

Topic: Neural dynamics and brain function

Subfield: Cognitive Neuroscience

Field: Neuroscience

Domain: Life Sciences

Open Access status: green

OpenAlex ID: W2084847691

FWCI:

Cites: 4

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Related to: 10