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Authors: Juan Carlos Moctezuma ; Jose Luis Nunez-Yanez and Joseph P. McGeehan

Affiliation: University of Bristol, United Kingdom

ISBN: 978-989-758-054-3

Keyword(s): Traub Model, Pinsky-rinzel Model, Bursting Analysis, Firing Analysis, Two-compartment Models, Neuron Modelling, Biophysically Accurate Hardware-model.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Computational Intelligence ; Computational Neuroscience ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Methodologies and Methods ; Neural Network Hardware Implementation and Applications ; Neural Networks ; Neurocomputing ; Neuroinformatics and Bioinformatics ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Signal Processing ; Soft Computing ; Theory and Methods

Abstract: The two-compartment Pinsky and Rinzel version of the Traub model offers a suitable solution for hardware-based emulation, since it has a good trade-off between biophysical accuracy and computational resources. Many applications based on conductance-based models require a proper characterization of the neuron behaviour in terms of its parameters, such as tuning firing parameters, changing parameters during learning processes, replication and analysis of neuron recordings, etc. This work presents a study of the dynamics of such model especially suitable for hardware-based development. The morphology of the neuron is taken into account while the analysis focuses primarily on the relation between the firing/bursting properties and the relevant parameters of the model, such as current applied and morphology of the cell. Two different applied currents were considered: short duration and long steady. Seven different types of burst patterns were detected and analysed. The transformation proce ss of the membrane voltage when a long steady current varies was classified into five stages. Finally, examples of neuron recording replication using the present methodology are developed. (More)

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Paper citation in several formats:
Carlos Moctezuma, J.; Luis Nunez-Yanez, J. and P. McGeehan, J. (2014). Neuron Dynamics of Two-compartment Traub Model for Hardware-based Emulation.In Proceedings of the International Conference on Neural Computation Theory and Applications - Volume 1: NCTA, (IJCCI 2014) ISBN 978-989-758-054-3, pages 85-93. DOI: 10.5220/0005089500850093

@conference{ncta14,
author={Juan Carlos Moctezuma. and Jose Luis Nunez{-}Yanez. and Joseph P. McGeehan.},
title={Neuron Dynamics of Two-compartment Traub Model for Hardware-based Emulation},
booktitle={Proceedings of the International Conference on Neural Computation Theory and Applications - Volume 1: NCTA, (IJCCI 2014)},
year={2014},
pages={85-93},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005089500850093},
isbn={978-989-758-054-3},
}

TY - CONF

JO - Proceedings of the International Conference on Neural Computation Theory and Applications - Volume 1: NCTA, (IJCCI 2014)
TI - Neuron Dynamics of Two-compartment Traub Model for Hardware-based Emulation
SN - 978-989-758-054-3
AU - Carlos Moctezuma, J.
AU - Luis Nunez-Yanez, J.
AU - P. McGeehan, J.
PY - 2014
SP - 85
EP - 93
DO - 10.5220/0005089500850093

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