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Authors: Daniel Rodrigues de Lima 1 ; Michel Bessani 1 ; Philip Newland 2 and Carlos Dias Maciel 1

Affiliations: 1 University of São Paulo, Brazil ; 2 University of Southampton, United Kingdom

ISBN: 978-989-758-170-0

Keyword(s): Neuronal Spike Signals, Neuronal Response, Desert Locust, FeCO, Transfer Entropy, Inter-Spike Interval, Survival Analysis.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Data Manipulation ; Detection and Identification ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Methodologies and Methods ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Physiological Processes and Bio-Signal Modeling, Non-Linear Dynamics ; Sensor Networks ; Soft Computing

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 several formats:
Lima, D.; Bessani, M.; Newland, P.; Maciel, C. 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

@conference{biosignals16,
author={Daniel Rodrigues de Lima. and Michel Bessani. and Philip Newland. and Carlos Dias Maciel. 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},
}

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.
AU - Maciel, C.
PY - 2016
SP - 219
EP - 226
DO - 10.5220/0005706202190226

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