An Artificial Dendritic Neuron Model Using Radial Basis Functions

Zachary Hutchinson

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Paper

An Artificial Dendritic Neuron Model Using Radial Basis Functions

Topics: Deep Learning; Neural Networks

In Proceedings of the 15th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART, 776-783, 2023 , Lisbon, Portugal

Author: Zachary Hutchinson

Affiliation: University of Maine, SCIS, Orono ME 04469, U.S.A.

Keyword(s): Artificial Dendrites, Neural Model, Neural Computation.

Abstract: The dendrites of biological neurons are computationally active. They contribute to the expressivity of the neural response. Thus far, dendrites have not seen wide use by the AI community. We propose a dendritic neuron model based on the compartmentalization of non-isopotential dendrites using radial basis functions. We show it is capable of producing Boolean behavior. Our goal is to grow the AI conversation around more complex neuron models.

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Paper citation in several formats:

Hutchinson, Z. (2023). An Artificial Dendritic Neuron Model Using Radial Basis Functions. In Proceedings of the 15th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART; ISBN 978-989-758-623-1; ISSN 2184-433X, SciTePress, pages 776-783. DOI: 10.5220/0011775400003393

@conference{icaart23,
author={Zachary Hutchinson.},
title={An Artificial Dendritic Neuron Model Using Radial Basis Functions},
booktitle={Proceedings of the 15th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART},
year={2023},
pages={776-783},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011775400003393},
isbn={978-989-758-623-1},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 15th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART
TI - An Artificial Dendritic Neuron Model Using Radial Basis Functions
SN - 978-989-758-623-1
IS - 2184-433X
AU - Hutchinson, Z.
PY - 2023
SP - 776
EP - 783
DO - 10.5220/0011775400003393
PB - SciTePress