loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Bruno Apolloni ; Simone Bassis and Lorenzo Valerio

Affiliation: University of Milan, Italy

Keyword(s): Neural network morphogenesis, Mobile neurons, Deep multilayer perceptrons, Eulerian dynamics.

Related Ontology Subjects/Areas/Topics: Adaptive Architectures and Mechanisms ; Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Complex Artificial Neural Network Based Systems and Dynamics ; Computational Intelligence ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Learning Paradigms and Algorithms ; Methodologies and Methods ; Neural Networks ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Signal Processing ; Soft Computing ; Supervised and Unsupervised Learning ; Theory and Methods

Abstract: We introduce a morphogenesis paradigm for a neural network where neurons are allowed to move autonomously in a topological space to reach suitable reciprocal positions under an informative perspective. To this end, a neuron is attracted by the mates which are most informative and repelled by those which are most similar to it. We manage the neuron motion with a Newtonian dynamics in a subspace of a framework where topological coordinates match with those reckoning the neuron connection weights. As a result, we have a synergistic plasticity of the network which is ruled by an extended Lagrangian where physics components merge with the common error terms. With the focus on a multilayer perceptron, this plasticity is operated by an extension of the standard back-propagation algorithm which proves robust even in the case of deep architectures. We use two classic benchmarks to gain some insights on the morphology and plasticity we are proposing.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.81.79.135

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Apolloni, B.; Bassis, S. and Valerio, L. (2011). KINETIC MORPHOGENESIS OF A MULTILAYER PERCEPTRON. In Proceedings of the International Conference on Neural Computation Theory and Applications (IJCCI 2011) - NCTA; ISBN 978-989-8425-84-3, SciTePress, pages 99-105. DOI: 10.5220/0003642800990105

@conference{ncta11,
author={Bruno Apolloni. and Simone Bassis. and Lorenzo Valerio.},
title={KINETIC MORPHOGENESIS OF A MULTILAYER PERCEPTRON},
booktitle={Proceedings of the International Conference on Neural Computation Theory and Applications (IJCCI 2011) - NCTA},
year={2011},
pages={99-105},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003642800990105},
isbn={978-989-8425-84-3},
}

TY - CONF

JO - Proceedings of the International Conference on Neural Computation Theory and Applications (IJCCI 2011) - NCTA
TI - KINETIC MORPHOGENESIS OF A MULTILAYER PERCEPTRON
SN - 978-989-8425-84-3
AU - Apolloni, B.
AU - Bassis, S.
AU - Valerio, L.
PY - 2011
SP - 99
EP - 105
DO - 10.5220/0003642800990105
PB - SciTePress