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Authors: Sasan Mahmoodi and Nasim Saba

Affiliation: University of Southampton, United Kingdom

ISBN: 978-989-758-170-0

Keyword(s): Complex Neurons, Biological Visual Systems, Nonlinear Systems, Nonlinear Cells.

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

Abstract: Complex cells in biological visual vision are well known to be nonlinear. In this paper, it is demonstrated that these nonlinear complex cells can be modelled under some certain conditions by a biologically inspired model which is nonlinear in nature. Our model consists of cascaded neural layers accounting for anatomical evidence in biological early visual visions. In the model proposed in this paper, the axons associated with the complex cells are considered to operate nonlinearly. We also consider the second order interaction receptive maps as directional derivatives of the complex cell's kernel along the direction of orientation tuning. Our numerical results are similar to the biologically recorded data reported in the literature.

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Paper citation in several formats:
Mahmoodi S. and Saba N. (2016). Nonlinear Model for Complex Neurons in Biological Visual Visions.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 162-167. DOI: 10.5220/0005692601620167

@conference{biosignals16,
author={Sasan Mahmoodi and Nasim Saba},
title={Nonlinear Model for Complex Neurons in Biological Visual Visions},
booktitle={Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 4: BIOSIGNALS, (BIOSTEC 2016)},
year={2016},
pages={162-167},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005692601620167},
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 - Nonlinear Model for Complex Neurons in Biological Visual Visions
SN - 978-989-758-170-0
AU - Mahmoodi S.
AU - Saba N.
PY - 2016
SP - 162
EP - 167
DO - 10.5220/0005692601620167

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