Modeling of an Insect Proprioceptor System based on Different Neuron Response Times

Daniel Rodrigues de Lima, Michel Bessani, Philip Newland, Carlos Dias Maciel

2016

Abstract

This paper analyzes neuronal spiking signals from the Desert Locust Femorotibial Chordotonal Organ (FeCO). The data comes from records of the insect neuronal response due to external stimulation. We measured the Inter-Spike Interval (ISI) and calculated Transfer Entropy for investigate different FeCO responses. ISI is a technique that measures the time between two spikes; and transfer entropy is a theoretical information measure used to find dependencies and causal relationships. We also use survival functions to assemble FeCO models. Furthermore, this work uses and compares results of two approaches, one with transfer entropy and other with ISI measures. The results indicate evidence to support the existence of more than one type of FeCO neuron.

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Paper Citation


in Harvard Style

Lima D., Bessani M., Newland P. and Maciel C. (2016). Modeling of an Insect Proprioceptor System based on Different Neuron Response Times . In Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 4: BIOSIGNALS, (BIOSTEC 2016) ISBN 978-989-758-170-0, pages 219-226. DOI: 10.5220/0005706202190226


in Bibtex Style

@conference{biosignals16,
author={Daniel Rodrigues de Lima and Michel Bessani and Philip Newland and Carlos Dias Maciel},
title={Modeling of an Insect Proprioceptor System based on Different Neuron Response Times},
booktitle={Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 4: BIOSIGNALS, (BIOSTEC 2016)},
year={2016},
pages={219-226},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005706202190226},
isbn={978-989-758-170-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 4: BIOSIGNALS, (BIOSTEC 2016)
TI - Modeling of an Insect Proprioceptor System based on Different Neuron Response Times
SN - 978-989-758-170-0
AU - Lima D.
AU - Bessani M.
AU - Newland P.
AU - Maciel C.
PY - 2016
SP - 219
EP - 226
DO - 10.5220/0005706202190226